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Company Description

At Enpal, we’re building the largest renewable energy community in Europe.

How? By making solar simple: We rent out solar panels, battery storage, and EV chargers – all in an all-inclusive package, combined with affordable green electricity and connected through one smart, integrated system. Guided by our motto “digital, decentralized, and 100% renewable”, our mission is twofold: scaling a world-class company while tackling one of the greatest challenges of our generation – climate change.

We’re only just getting started on our journey to become Europe’s largest energy company – and we’re looking for bold talent to join us, shape our path, and grow with us. At Enpal, you’ll find a dynamic, purpose-driven environment with real ownership, impact, and the space to evolve personally and professionally. As Germany’s first green unicorn and Europe’s fastest-growing energy company (FT1000 Ranking 2022 by Financial Times & Statista), we’re pushing the transition to clean energy forward.

Job Description

We are looking for a Senior Data Engineer to join our Energy Data Science team. You will work at the intersection of data engineering and data science, enabling our forecasting and analytics products for the energy market. This role is ideal for a software engineer with a big data focus or a data scientist with strong professional data engineering experience.

Collaborate closely with Data Scientists and MLOps Engineers to build forecasting and analytics products for the energy market.
Design, implement, and maintain scalable ETL/ELT pipelines using Airflow, Python, and SQL, with robust observability and alerting.
Build and maintain integrations for internal and external data sources.
Explore, clean, structure, and aggregate datasets for high-quality downstream use cases (Analytics/ML).
Administer databases and data warehouses, managing changes through CI/CD.
Maintain and extend APIs to ensure reliable and performant data delivery.
Establish and maintain CI/CD pipelines in Azure DevOps.
Continuously improve the data architecture, adopt new technologies, and stay aligned with the latest industry trends.

Qualifications

3+ years of professional experience in data engineering (including real-time data processing).
Expertise in Python and SQL.
Hands-on experience with Airflow, Snowflake, and database/DWH administration.
Solid knowledge of Cloud Infrastructure (preferably Azure; GCP or AWS also acceptable) and IaC (Terraform or similar).
Basic DevOps skills, including CI/CD setup in Azure DevOps.
Holistic mindset on data products: motivated to deliver clean, structured, and scalable data pipelines for analytics and ML.

Additional Information

Work at Germany’s first green unicorn and actively shape the solar energy transition with us.
The sun shines everywhere – and so do we. At Enpal, you’ll join a highly motivated and diverse team with over 65 nationalities working toward one mission.
Office or home? You choose. We offer a hybrid work model – even after the pandemic – so you can balance focus and flexibility.
Yes, we’re a startup cliché – and proud of it. From ping-pong and yoga corners to a rooftop terrace and fully stocked fridges – our Berlin HQ in Friedrichshain has everything you need to thrive.
Your Enpal kick-start: On your onboarding day, you’ll meet the team, get to know the company – and have a welcome session with our founder, Mario.
Stay in the loop: From company updates in our monthly All-Hands to solar deep dives in our Lunch & Learns – we make sure everyone understands the bigger picture.
The energy transition is a team sport. Expect strong team spirit, ownership – and unforgettable team events.
No progress without feedback. We embrace a strong feedback culture and believe your input drives our collective growth.

We’re proud of our team’s diversity. All hiring and employment decisions are made without regard to race, religion, ethnicity, nationality, gender identity, sexual orientation, disability, or age.

At Enpal, we stand for a safe and inclusive workplace – and take a clear stance against any form of discrimination or harassment.

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En Logicalis Spain estamos buscando un Senior Data Engineer en Microsoft Fabric para integrarse en nuestra BU de Data & Analytics.

El equipo de Data & Analytics de Logicalis trabaja con clientes nacionales e internacionales, llevando a cabo importantes proyectos de inteligencia artificial y analítica avanzada, estrategia del dato, gobierno, integración y arquitectura, abarcando todo el ciclo de vida del dato.

Requisitos TÉCnicos

Experiencia sólida en arquitecturas de datos en Azure: Data Lake, Synapse, Databricks, Data Factory, Event Hub, etc.
Experiencia real y demostrable en Microsoft Fabric, participando en proyectos productivos en los últimos años.
Haber liderado o ejecutado proyectos de migración de Azure a Microsoft Fabric.
Conocimiento de arquitecturas cloud híbridas, integración de fuentes de datos y orquestación de procesos.
Mentalidad consultiva, capacidad de comunicación y liderazgo técnico.

Valoramos Adicionalmente:

Certificaciones oficiales en Azure Data y/o Microsoft Fabric.
Conocimientos de DevOps / CI-CD aplicados a entornos de datos.

Responsabilidades

Liderar y participar en proyectos de migración de arquitecturas de Azure a Microsoft Fabric.
Diseñar y desplegar arquitecturas de datos modernas en Fabric: Lakehouse, Data Factory, Real-Time Analytics, Power BI...
Definir e implantar buenas prácticas de gobernanza, seguridad y rendimiento en entornos Fabric.
Acompañar a clientes en su transición hacia Fabric como plataforma unificada, actuando como referente técnico.
Colaborar con equipos multidisciplinares para garantizar el éxito en la entrega de proyectos de datos en la nube.

Beneficios

Incorporación inmediata a una compañía líder del sector IT con un alto grado de expertise en el área de Data & Analytics, en pleno proceso de expansión.
Estabilidad laboral a través de contrato indefinido con amplias oportunidades de desarrollo profesional y crecimiento en la compañía.
Modalidad de trabajo remoto, con fleixibilidad para acudir puntualmente a las oficinas presenciales.
Paquete retributivo competitivo acorde a la experiencia y valía del candidato.
Posibilidad de acogerse a planes de retribución flexible (tarjeta restaurante, transporte, guardería).
Seguro médico y GYMPASS.
Planes de formación adaptados a cada perfil (cursos técnicos, certificaciones oficiales, formación en idiomas).
Acceso a portal de descuentos exclusivos para empleados.
Excelente ambiente de trabajo y entorno colaborativo.

🚀 ¿Por qué unirte a Logicalis Spain?

En Logicalis Spain creemos que el talento se potencia cuando se combina con innovación, colaboración y pasión por la tecnología. Si buscas un entorno donde crecer profesionalmente, liderar proyectos punteros y dejar huella en la transformación digital de grandes organizaciones, ¡este es tu lugar!

¿Aceptas El Reto?

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Senior Data Engineer

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Senior Data Engineer, Vice President, to join our Investment Management Engineering team. This role is located in London

In this role, you’ll make an impact in the following ways:

Lead the design and development of data pipelines feeding the BNY Investments analytical platform, ensuring high quality and performance.
Provide architectural oversight by designing scalable, secure, and cost-efficient data systems tailored to support BNY’s Investments business needs.
Contribute to the design and development of AI / ML initiatives ongoing in BNY Investments
Mentor and coach junior and transitioning data engineers to accelerate their development and strengthen the team’s overall capabilities.
Lead production operations by enforcing standards around testing, CI/CD, observability, and documentation to ensure platform reliability and regulatory compliance.
Collaborate effectively with business clients and cross-functional teams to translate requirements into technical solutions and drive innovation across BNY.

To be successful in this role, we’re seeking the following:

Strong experience of Snowflake Data Cloud, with supporting technologies and tools, including SQL, DBT and Snowpark
Deep knowledge of Python, with experience using it to build production quality data pipelines and analytical jobs.
Expertise of data warehouse and modelling concepts is essential for designing efficient and effective database structures.
Someone with familiarity of ML / AI Concepts, models and tools. Experience using AI in a c capacity would be highly desirable.

At BNY, our culture speaks for itself, check out the latest BNY news at:

Bny Newsroom

Bny Linkedin

Here’s a few of our recent awards:

America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits And Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

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This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is you

Hands-on experience with Kafka for data streaming and Spark/Databricks for data processing and analytics
8+ years experience as Data Engineer
Strong experience in PySpark, Scala, or similar data engineering languages
Expertise in ETL/ELT processes is essential for moving and preparing data
Hands-on experience building production data pipelines using Hadoop, Spark, and Hive
Strong SQL skills and experience with data modelling and warehousing principles

This is your role

Build and maintain data pipelines to extract, transform, and load raw data from various sources
Design and implement scalable data storage solutions in formats suitable for different applications and analyses
Convert raw data into a usable and reliable format for data scientists, analysts, and business intelligence teams
Collaborate with engineers and analysts to translate requirements into scalable data solutions
Ensuring data quality, accuracy, and consistency across pipelines and applications

We take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength.

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Company Description

Our Story

Let’s be honest: there are lots of people out there doing what we do. We’re just not convinced they’re doing it right. Businesses are hungry for innovation and opportunity, but not at the cost of their independence. At Ollion, we’ve connected companies and capabilities around the world to help ambitious organizations make the most of their transformation and leave the status quo in the dust.

Working At Ollion

Innovation is risky. It demands bold steps and big questions, but that’s the price of making change. We’ve got our head in the cloud and two feet on the ground, channeling tech’s endless potential towards a single goal: making a world of difference. And we’re building a global team to do just that— a team capable of making game-changing breakthroughs without ever losing sight of the people it will impact. This is more than consulting. This is the change you can be.

The Ollion Difference

At Ollion, we’re all in on your independence. Our teams are seasoned. Our solutions are straightforward—sometimes even groundbreaking. And our engagements? Exactly as long as you want them to be. We deliver fresh thinking and hard-earned insight in a way that works for you and your customers, arming your organization with everything you need to make your transformation truly mean something.

WORKING WITH OLLION (our clients’ experiences)

Progress matters more than process. Our global team of cloud-native pros is all about creating new and better ways to work—not just by solving your tech challenges, but by using technology to solve your business challenges. We keep the formulas, frameworks, and ten-point plans to a minimum, tackling your most pressing problems with a proprietary mix of good-old-fashioned ingenuity and refreshing humanity.

Job Description

Job Overview

The Senior Data Engineering Consultant will be responsible for requirements gathering, solutioning, designing and building modern data platforms to support data-driven decision making. The Engineer will execute technical implementation of data engineering and visualization projects, and will be a hands-on role.

The Senior Data Engineering Consultant will help build a data and analytics consulting practice by taking part in recruiting efforts, creating technical collateral, and staying on top of technology trends with ongoing training and certifications. The entire consulting team will be responsible for building long-term strategic relationships with clients and participating in all aspects of project delivery

Key Responsibilities

Lead and drive discovery sessions with external clients and build state-of-the-art data architectures. Work with stakeholders to understand their problem statements, data requirements and implement solutions that meet their needs.
Design, implement, and develop data pipelines to collect and process large amounts of data from various sources.
Implement data storage solutions that are scalable, secure, and efficient, such as data warehouses and databases.
Develop and implement data validation and testing processes to ensure that data is processed accurately and efficiently.
Automate data collection, processing, and reporting processes to minimize manual work and improve efficiency.
Create high quality documents to capture problem statements, requirements, solutions and designs.
Support pre-sales activities, including whiteboard sessions, collaborating on solution architecture design, and assisting in proposal and statement of work creation.
Contribute to the development of reusable, repeatable collateral for use across the practice.
Obtain / maintain training and certification in cloud technologies.
Work with the marketing team to produce content to promote the practice across the region.

Qualifications

Key Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field.
5-9 years of data engineering experience in data management, database architecture or data engineering.
Excellent problem-solving, organization, debugging, and analytical skills.
Ability to work independently and in a team environment.
Excellent communication skills for effectively expressing ideas to team members and clients.
Understanding of relational database concepts and SQL querying.
Strong experience in Integrating with multiple data sources with both structured and unstructured data in both batch and streaming modes
Knowledge of cloud computing platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
Experience building data pipelines with ETL tools/Equivalent Cloud services, such as Azure Data Factory, dbt, AWS Glue, Matillion or equivalent.
Familiarity with data warehousing solutions, such as Amazon Redshift, Snowflake, Google BigQuery, or Azure Synapse.
Experience with visualization tools, such as Power BI, Looker, Tableau, and QuickSight.
Familiarity with Docker and Kubernetes
Debug and optimize existing data infrastructure and processes as needed.
Experience with at least one programming language, such as Python, Java, or Scala.
Experience building large-scale, high throughput, 24x7 data systems.
Any data engineering, visualization, or data science certifications on any of the clouds.
Exposure to machine learning algorithms, AI, and/or LLM, with implementation in practice.

Nice To Have

Experience with legacy data systems (e.g. Hadoop, Informatica).

Additional Information

BENEFITS & PERKS FOR WORKING AT OLLION

Our employees multiply their potential because they have opportunities to: Create a lasting Impact, Learn and Grow professionally & personally, Experience great Culture, and Be your Whole Self!
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Beyond an amazing, collaborative work environment, great people, and inspiring, innovative work, we have some great benefits and perks:

Benchmarked, competitive, in-market total rewards package including (but not limited to): base salary & short-term incentive for all employees
Fully remote-first, small but Global organization; ‘learn wherever, whenever’ frees our people from a rigid view of learning and growth
Retirement planning (i.e. CPF, EPF, company-matched 401(k))
Globally, we build benefit plans that offer choices for whatever stage in life our employees are in and allow for flexibility as life happens. Employees have access to a fully comprehensive benefits package to choose the medical, dental, and vision insurance plan that best fits their lives. In addition to great healthcare coverage, we also offer all employees mental health resources and additional wellness programs.
Generous time off and leave allowances
And More!

Diversity At Ollion

One of our cultural keystones, ‘Find the angle’ recognizes that every individual has different aspirations, needs and brings a unique perspective.

We value diversity, inclusion, and equity (DE&I) as core to our success. We believe that a diverse workforce brings together unique perspectives, experiences, and ideas, leading to innovation, creativity, and better outcomes for our clients and our organization. We are on a journey and are committed to building a workplace that celebrates and respects individuals from all backgrounds, including but not limited to race, ethnicity, gender, sexual orientation, age, disability, and cultural heritage.

As our commitment to diversity and inclusion is reflected in our:

Awareness and sensitisation programs: to create awareness and sensitisation. We encourage open dialogue, active listening, and mutual respect, creating a safe and supportive environment for everyone to contribute their unique perspectives and ideas.
Dedicated efforts to building diverse teams: that leverage the strength of our differences to tackle complex challenges and drive innovation. By embracing diversity, we broaden our collective knowledge, enhance problem-solving capabilities, and unlock limitless potential for our employees.

All your information will be kept confidential according to EEO guidelines. Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.

Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.

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Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 4,500 professionals, we’re committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.

At New Era, you’ll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Driven by values like Community, Integrity, Agility, and Commitment, we nurture our people to deliver exceptional customer service.

If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together.

🌟 Hiring: Senior Data Engineer – Malaysia (Client Location) | New Era Technology 🌟

Client Location: PJ, Malaysia
Company: New Era Technology – www.neweratech.com
Work Type: Perm

\n\n

🚀 About The Role:

New Era Technology is looking for experienced Senior Data Engineer to be deployed at our prestigious client in Malaysia at their PJ office.

\n\n

🛠️ Key Responsibilities:

Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs.
Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications.
Design and implement scripts, ETL jobs, data models, etc.
Provide horizontal, organisational-wide visibility through metric measurements and insights regionally across different functions and teams.
Develop and uphold best practices with respect to change management, documentation and data protocols.
Identify system and application metrics, develop dashboards and set up alerts for metrics and thresholds.
Participate in technical and product discussions, code reviews, and on-call support activities

\n\n

🎓 Qualification & Experience:

Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field.
At least 5 years of experience developing Data warehouse and Business Intelligence solutions.
Sound knowledge of data warehousing concepts, data modelling/architecture and SQL.
Ability to work in a fast-paced agile development environment.
Knowledge of programming languages such as Java, Scala, Python, etc.
Understanding of performance, scalability and reliability concepts.
Experience with relational as well as NoSQL data stores.
Experience with Big Data frameworks such as Hadoop, Spark, etc.
Experience with Stream processing technologies such as Kafka, Spark streams, etc.
Experience with performance tuning & query optimization of data warehouse systems.
Experience with Cloud technologies such as Azure, AWS, etc. would be nice to have.
Ability to drive initiatives and work independently.
Team player who can liaison with various stakeholders across the organisation.
Excellent written and verbal communication skills.

👤 Preferred Candidate:

Nationality: Open for Malaysians only
Availability: Candidates who can join max in 30-45 days.
📧 How to Apply:
Send your updated resume to Nithiya.murali@neweratech.com with the subject line:
“Senior DataEngineer- Malaysia”

\n\n\n\n

🔗 About Us:
New Era Technology (www.neweratech.com) is a global IT services provider with a footprint in 80+ countries, delivering cutting-edge digital transformation, consulting, and staffing services across industries

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New Era Technology, Inc., and its subsidiaries (“New Era” “we”, “us”, or “our”) in its operating regions worldwide are committed to respecting your privacy and recognize the need for appropriate protection and management of any Personal Data that you may provide us. In this, we are also committed to providing you with a positive experience on our websites and while using our products, services and solutions (“Solutions”).

View our Privacy Policy here https://www.neweratech.com/us/privacy-policy/

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Company Description

At Meridian, we’re on a mission to make energy cleaner and cheaper for Aotearoa New Zealand.

100% of the energy we generate comes from renewable sources - wind, water and sun - because we believe that’s the best way forward for our planet and our communities. We’re doing what we can to help Aotearoa reduce its carbon emissions and supporting others in our communities to do the same.

We serve over 380,000 customers and have big aspirations to deliver value to even more homes and businesses across Aotearoa through our two brands, Meridian and Powershop.

It’s a challenge we take seriously, which is why we’ve recently redesigned our Retail operating model, building a network of empowered teams equipped to understand customer needs and quickly turn ideas and concepts into products and experiences that customers love.

Mō te tūranga | What you’ll be doing

As a Senior Data Engineer, in our newly formed Data and Architecture practice, you’ll be a leader within the practice and will build, optimise and maintain the Retail data platform and solutions that help make energy cleaner and cheaper.

This is an exciting opportunity to support the transition to modern and AI-supported approaches, ensuring data is accessible and trusted, while also playing a key role in establishing culture, defining technical standards, and building a depth of technical knowledge and craft within the practice.

You will collaborate with teams and squads to enable the creation of data-driven products and experiences for both customers and internal teams. Key responsibilities include:

Implementing modular and scalable data and AI architectures and data models, ensuring retail data and platforms serve all required data personas
Developing and managing data pipelines from ingestion to serving, including automated quality and integrity using DataOps practices
Ensuring platform high availability, performance, observability, privacy, and security
Contributing to enterprise governance, and designing and implementing Retail principles, patterns, and standards

Ngā pukenga kei a koe mō tenei tūranga | What you’ll bring

Proven experience collaborating with business and product teams to achieve shared outcomes, including design, build, enablement, and transition
Proven track record with modern data platforms, such as Databricks and AWS or Azure native services
Solid experience designing, building, and maintaining scalable ETL/ELT data pipelines, ideally using Spark for data at scale
Broad data modelling expertise across the data lifecycle
Proficient programming skills in languages such as PySpark, SQL, Python, and exposure to Terraform for IaC (Infrastructure as Code)
Demonstrated ability to collaborate with business and product, and mentoring other data practitioners.

He aha koe i hono mai ai ki a mātou? | Why join us?  

At Meridian, we value all people. We embrace different ways of thinking, living and working, because we believe diversity benefits us all. It makes our capabilities even stronger. We encourage all our people to feel comfortable bringing their whole selves to work and we’re proud to have a diverse and inclusive workplace. So, no matter who you are, you’ll find it a great place to work.

We value and live by three ‘How to Be’s’: ‘be gutsy’, working together by ‘being in the waka’ and doing the right thing by ‘being a good human’. We work hard and value the importance of connection and fun, whether this be through daily quizzes, morning teas, birthday and cultural celebrations both in person and virtually!

Sustainability sits firmly in our DNA both socially and environmentally. We proudly support KidsCan and the Kākāpō Recovery and work side-by-side with our generation communities to empower and support projects where needed. There are many opportunities to volunteer to any of our partnerships throughout the year.

Ngā painga ki a mātou | What we can offer   

We value work/life balance so our WFH and flexible work options (where possible) make things easier for you and your whānau. We also offer:

an attractive and competitive salary package that’s reviewed annually, performance-incentive plus discounts from a number of partnerships
Southern Cross Healthcare - Wellbeing one insurance, funded scheme for eligible employees to give you that extra peace of mind
enhanced leave provisions: three company paid days (over the holiday period), enhanced parental leave and options to buy up to 12 days additional leave
life, trauma and income protection insurance (which we hope you won’t need!)
enhanced KiwiSaver contributions
access to the Meridian employee share scheme
excellent learning and development opportunities, we want you to be the best version of yourself and will help you get there!
award winning wellbeing programme that provides support whenever and wherever you need it
employee discounts off your power with Meridian, every bit counts
a one-off $400 payment to support your work from home set-up (if needed)

Tono mai ināianei tonu | Apply now

All in all, we’re an awesome place to work. If this sounds like you and you want to bring your energy and use your power to make a difference (pun intended), then apply today and tell us why!

To view the full Position Description please click here.

We’re not necessarily looking for someone who ticks all the boxes (an elusive unicorn). Research shows that women are less likely to apply for jobs unless they meet 100% of the qualifications, whereas men apply when they meet only about 60%. If you think you have what it takes but don't meet every requirement in the job description, we strongly encourage you to apply!

If you have any general enquiries, please email careers@meridianenergy.co.nz and one of our team will get back to you. We're committed to becoming more accessible and providing support if needed, please get in touch via email or phone if there are any parts of our process you would like assistance with (process found here meridianenergy.co.nz/careers), we’re more than happy to help.

If you would like to be at the forefront of New Zealand’s energy transformation and work in an innovative, collaborative environment that values fresh thinking, then we’d love to hear from you.

This role is based in Wellington or Christchurch.

Advertising closes at 11:59pm on 2 October 2025, however we will be reviewing applications as they come in, so this may change.

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You are a passionate data engineer & keen learner with strong multi-disciplinary background in end-to-end data & analytics delivery value chain activities and modern data engineering technologies/tooling/practices

We are a values-driven high performing team

Together we can deliver an exemplary experience for our stakeholders and the Group

See yourself in our team

Reporting to Senior Manager – Data Delivery Practice, you will apply advanced technical knowledge of data engineering principles and practices, coupled with specific data technology, domain expertise and thought leadership, to lead on medium to complex products and product development.

Key Responsibilities

Accelerated Data Delivery:

Understand business problems and devise data & analytics driven solutions
Innovate to continuously identify opportunities to simplify, automate & improve data delivery speed
Deliver proof of concepts/ technical spikes and leading examples of accelerated data delivery using new solution patterns/ capabilities
Execute end-to-end data delivery iteratively through requirements, solutioning, data profiling, data design/ modelling, development, testing, release management and operate in production
Develop strategic data products
Ensure industry best practices of engineering and Data DevSecOps are followed
Data delivery practice:

Provide data delivery guidance for evolving needs from federation, strategy and transformation
Contribute to data delivery knowledge management outcomes via playbooks, learning materials & education sessions
Contribute to data maturity outcomes and data literacy initiatives

We're interested in hearing from people who have

Over 2-4 years of experience at Senior data engineer level in large Banks/ organizations
Good understanding of data delivery life cycle & associated concepts including data analysis, data profiling, data design, data modelling, data ingestion, data cleansing, data extraction, data definitions/dictionary, data lineage mapping, data classification, data quality, etc.
Experience in Big Data solutions using Cloudera Hadoop eco-systems, Teradata platform using Spark/TCF and various ETL frameworks
Experience with AWS Cloud platform and Snowflake
Awareness of data modelling concepts/ frameworks, design patterns (FSLDM, IBM IFW DW, BIAN) and techniques such as Data Vault, Kimball, 3NF
Sound skills in writing SQL scripts (Spark SQL or any RDBMS), scripting in Java or Python
Sound experience in building data pipelines & ETL tools like Ab Initio
Experience in designing and developing ETL test scripts for structured and unstructured data
Sound skills testing solutions with large data volumes and complex data transformation rules
If this role sounds like you – Apply now!

At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation Read more about our commitment to inclusion and diversity.

If you're already part of the Commonwealth Bank Group (including Bankwest), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We’re committed to being an accessible employer and want to make finding your dream job as easy as possible. If you experience any accessibility issues or if you require additional support please contact HR Direct.

We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 22/09/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank of Australia","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eveleigh, NSW - 2 Locomotive Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Commerce Data Solutions","datePosted":"2025-09-19","description":"

Job Posting Title:

Senior Data Engineer - Commerce Data Solutions

Req Id:

10131337

Job Description:

Disney Entertainment & Espn Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology (DEEP&T) is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. 

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. 
Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Commerce, Data & Identity (CDI) provides the core product management functions for areas crucial to Disney’s media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.

Commerce Data Solutions builds and maintains best in class data products enabling business teams to analyze and measure subscriber movements and support revenue generation initiatives. The Senior Data Engineer will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics. Collaborating across disciplines, they will identify internal/external data sources, design table structure, define ETL strategy & automated Data Quality checks.

Responsibilities

Partner with technical and non-technical colleagues to understand data and reporting requirements.
Work with engineering teams to collect required data from internal and external systems.
Design table structures and define ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.
Develop Data Quality checks
Develop and maintain ETL routines using ETL and orchestration tools such as Airflow
Implement database deployments using tools like Schema Change
Perform ad hoc analysis as necessary.
Perform SQL and ETL tuning as necessary.

Basic Qualifications

5+ years of relevant data engineering experience.
Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
Good understanding of SQL Engines and able to conduct advanced performance tuning.
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills – written and verbal presentations.
Excellent conceptual and analytical reasoning competencies.
Comfortable working in a fast-paced and highly collaborative environment.
Familiarity with Agile Scrum principles and ceremonies

Preferred Qualifications

2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.
2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
1+ years of experience programming languages (e.g. Python, Pyspark), preferred.
1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.
Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.

Required Education

Bachelor’s Degree in computer science, information systems, or related field or equivalent work experience.

Additional Information

#Disneytech

#Cdi

The hiring range for this position in Santa Monica, CA is $138,900 - $186,200 per year, in San Francisco, CA is $152,100 - $203,900 per year, in Seattle, WA is $145,400 - $195,000 per year, and in New York, NY is $145,400 - $195,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Commerce, Data & Identity

Job Posting Primary Business:

PE - Sports, News & Entertainment, Enablement

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

New York, NY, USA

Alternate City, State, Region, Postal Code:

USA - CA - 2450 Broadway, USA - CA - Market St, USA - WA - 925 4th Ave

Date Posted:

2025-09-19","hiringOrganization":{"@type":"Organization","name":"The Walt Disney Company","sameAs":"https://thewaltdisneycompany.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA - NY - 7 Hudson Square, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-19","description":"

Join Ferrovial: Where Innovation Meets Opportunity

Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people’s lives? At Ferrovial, we are not just a company; we are a community of innovators and trailblazers. Listed on three major stock markets: Nasdaq (US), Euronext Amsterdam (Netherlands) and IBEX 35 (Spain), we are also member of the Dow Jones Sustainability Index and FTSE4Good. We operate in more than 15 countries and have a workforce of over 24,000 professionals worldwide. Ferrovial’s activity is carried out through our business units, including Highways, Airports, Construction, and Energy.

Our Corporate organization oversees business activities, providing strategic planning, communication, legal, finance and human resources services to the business units. As a member of our corporate organization, you will have a broad view of our company, further supporting your career development.

Why Ferrovial?

Global presence, local impact: Be part of a company that is shaping the future of infrastructure worldwide, with challenging roles and projects that make a real difference.
Collaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued.
Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation.
Career growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth.
Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health.
Productivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency.

Job Description:

Key Responsibilities

Reporting to the Head of Data Analytics for Cintra (Spain based) you will:

Strategy:

Be fully aligned with business leaders to understand their challenges and opportunities in terms of data.
Identify the business value that a new initiative or feature can potentially bring to the business area.
Shape and safeguard the best practices and guidelines defined for Ferrovial's data architecture.

Data Products Delivery / Evolution:

You will propose flexible, scalable, and cost-effective data solutions.
You could develop optimal and scalable data processing pipelines within an Azure environment, Data Factory and Databricks on your own.
You will serve as the technical point of reference for toll roads data projects, collaborating on the product roadmap from a technical perspective, coordinating technical decissions with other product teams, and guaranteeing the feasibility, sustainability, and quality of these decisions.
You will manage a technical team (external parties) to deliver data initiatives following the best practices of Data Engineering and the different platforms and tools.
You will use your technical criteria to choose between different technical proposals.
You will collaborate with other areas of the company (Cloud, Developer Experience, Security, Architecture, etc.) to build optimal products and solutions.
You will foster a culture of continuous improvement, where quality, monitoring, and automation are embedded throughout the entire process.
You will grant an excellent user experience when consuming data (usability & performance criteria).
You will apply and / or guarantee that security and governance policies are applied, aligned with Ferrovial standards and regulation.

Quality Supervision & Development Teams Support:

Validate third-party technical proposals approving or rejecting them as needed.
Ensure that agreed standards and working practices are followed.
Ensure that development teams reuse visual repositories, certified components, and existing reference architectures to accelerate data platform delivery.
Provide expert guidance to delivery teams for complex challenges or business-critical systems, acting as an internal consultant.

Operations & Maintenance:

Provide technical expertise and support to dev teams in the diagnosis and resolution of an issue.
Forecast and control the cost evolution associated to the use of the existing data pipelines.
Work on a continuous improvement framework to optimize both, the technical solution performance and the cost associated to it.

Collaboration with the Global Data Strategy

You will promote a data-driven company.
You will measure and leverage the value of data in the organization.
You will take into consideration Ferrovial internal data standards, components and best practices.
You will promote the standardization of business data domains in your business area.
You will contribute to the creation of an enterprise data catalog and data glossary for your data products.

Innovation:

Keep up to date with new trends, new data services and components.
Lead proofs of concept with external partners to test new data services.

Requirements

Experience in data architecture within Azure environments.
At least 3 years of experience managing data development teams and being a “hands-on” profile is a MUST.
At least 5 years of experience designing and developing data architectures and pipelines (data modelling – logical and physical structure-, medallion architecture, governance - data security/privacy -)
Demonstrated experience working with Databricks, Unity Catalog, Delta Live Tables
Demonstrated experience leading data initiatives that process information on real time or near real time.
Passion for teamwork, especially under agile methodologies.
Passion for the practical application of technology, particularly within the ecosystem of distributed architectures, data, and Artificial Intelligence.
Mindset focused on automation and continuous integration.
A continuous learning mentality and enthusiasm for sharing knowledge and experiences with the rest of the team.
Orientation towards continuous improvement and a practical approach to software engineering.
Ability to manage technical teams.
Appreciation for dynamic, fast-paced, and agile environments.
Experience in distributed and cloud-native architectures and DevSecOps environments.
Experience with the following languages: Python
Strong communication and interpersonal skills in both English and Spanish
Knowledge in quality engineering and test automation in CD/CI environments will be positively valued.
Knowledge or experience in ML environments with MLOps will be valued.
Experience in implementing observability mechanisms, including monitoring business KPIs, will be positively valued.

Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here!

Ferrovial is an equal opportunity employer.  We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a “Protected Class”), or any other protected class in accordance with applicable laws.

#Weareferrovial

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We're building data products that power the next generation of gaming experiences—from insights to player behavior modeling and internal analytics. As a Senior Data Engineer, you’ll take ownership of scalable data pipelines, cloud data architecture, and efficient delivery of dashboards and insights using modern tools like Airflow, Snowflake, and dbt.

What You'Ll Do

Build and manage end-to-end batch data pipelines with Airflow and Snowflake
Develop robust data models to support dashboards and advanced analytics
Work closely with analysts, QA, and product teams to understand and deliver on data requirements
Mentor junior engineers and contribute to architectural decisions
Ensure data quality, performance, and scalability across the stack

Tech Stack

Snowflake, dbt, Airflow, Python, SQL, Git, GCP/AWS
Bonus: Redis, Kafka (for limited internal usage), Power BI

What We're Looking For

5+ years of experience in data engineering
Hands-on experience with modern cloud data stacks
Solid SQL and Python scripting skills
Experience building data products or platforms that support non-technical users (dashboards, self-serve, etc.)
Bonus: Experience in gaming or digital entertainment industries

Company Summary

Aristocrat Interactive

Aristocrat Interactive is Aristocrat Leisure Limited’s (ASX:ALL) regulated online Real Money Gaming (RMG) business and was formed in 2024 when the Anaxi and NeoGames businesses (Anaxi, NeoGames, Aspire Global, BtoBet, and Pariplay) came together.  The business is an industry leader in content and technology solutions for online RMG, with a full-service offering that includes content, proprietary technology platforms and a range of value added services across iLottery, iGaming and Online Sports Betting (OSB).

About Aristocrat

Aristocrat Leisure Limited (ASX: ALL) is a leading gaming content creation company powered by technology to deliver industry-leading casino games together with mobile games and online real money games, collectively entertaining millions of players worldwide, every day. Headquartered in Sydney, Australia, Aristocrat has three operating business units, spanning regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness) and regulated online real money (Aristocrat Interactive). Our team of over 8,500 people across the globe are united by our company mission to bring joy to life through the power of play.

Our Values

All about the Player
Talent Unleashed
Collective Brilliance
Good Business Good Citizen

Travel Expectations

None

Additional Information

This role is subject to mandatory background screening and regulatory approvals. As part of your employment with Aristocrat, you may be required to complete a criminal background check, submit fingerprints, and obtain licenses or registrations with applicable gaming regulatory authorities.

Aristocrat operates in a highly regulated environment and holds licenses in over 340 gaming jurisdictions worldwide. To meet our global compliance obligations, you will be required to provide the disclosure of relevant personal and background information to government agencies, sovereign nations/tribal regulators, and other applicable gaming regulatory bodies. This is a condition of Aristocrat’s gaming licenses. The specific information required may vary depending on the jurisdiction and project assignment.

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

","hiringOrganization":{"@type":"Organization","name":"Aristocrat","sameAs":"https://www.aristocrat.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland - Warsaw","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

Company Description

Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world.
\n
\nAdtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.
\n
\nWe operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment.
\n
\nVisit Adtalem.com for more information and follow us on LinkedIn and Instagram.

Job Description

Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company’s innovation initiatives and growth objectives.

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata
Troubleshoot and resolve data engineering issues as they arise.
Develop REST APIs to expose data to other teams within the company.
Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation
Mentor and guide junior data engineers.

Qualifications

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. 
Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing
Experience in AI/ML data pipelines and frameworks
Excellent organizational, prioritization and analytical abilities.
Have proven experience working in incremental execution through successful launches.
Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment.
Experience working in agile environment.

Additional Information

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.
\n
\nAdtalem offers a robust suite of benefits including:

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays\n\nFor more information related to our benefits please visit: https://careers.adtalem.com/benefits.\n\nYou are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation

","hiringOrganization":{"@type":"Organization","name":"Adtalem Global Education","sameAs":"https://www.adtalem.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisle, IL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

Join the Origis Energy Team!

Origis Energy is accelerating the transition to a carbon-free future by Reimagining ZeroSM. As one of America’s leading renewable energy and decarbonization solution platforms, the company continues to expand and reimagine its contribution to the world’s net-zero goals. Origis Energy puts customers first to deploy a wide range of sustainable solutions for grid power generation, performance optimization, and long-term operation of solar and energy storage plants across the U.S. Founded in 2008, Origis Energy is headquartered in Miami, FL.

The Origis team, regarded as one of the leading developers in the U.S., is committed to living five core values in all interactions both with each other and external stakeholders:

Solve for Tomorrow. A role with Origis Energy puts you at the forefront of the transition to clean energy. Are you ready to bring new ideas? Do you exist to find solutions? That’s how we revolutionize energy and build a carbon-free future - through unmatched service and relentless innovation.

Rise Together. To succeed here, you’ll collaborate with others and work as one team, across various teams including solar and energy storage development, financing, engineering, procurement and construction (EPC) and operations, maintenance and asset management. Are you open to diverse perspectives and prepared to work seamlessly across disciplines to reach our collective goals?

Perform at Peak. We’re seeking team members who bring authentic energy and passion to every task. How can you use your natural strengths, genuine optimism and intelligence to make your greatest contributions to Origis?

Inspire & Grow. The Origis team is comprised of knowledgeable, passionate solar and energy storage experts who bring deep expertise and solution-driven thinking to clients. A successful Origis team member encourages others and sets a high bar for growth. We have a culture of continuous improvement because each team member takes the role of both learner and mentor.

Be Resilient. The spirit in which we tackle the energy challenges and objectives of our clients means we consistently stretch for the extra mile. We all take initiative and remain adaptable, overcoming obstacles by prioritizing respect.

Position Description

The Senior Data Engineer position, reporting to the Senior Business Systems Manager, will be responsible for design, build, and optimize our data infrastructure with a focus on Databricks, Python, and modern data engineering practices. This role will support data ingestion, transformation, and analytics across operational, financial, and production systems, enabling stakeholders to make informed decisions. Knowledge of JavaScript or front-end integration is a plus for enhancing reporting and user-facing tools.

The Senior Data Engineer is a regular, full-time position, and is eligible for our generous employee benefits package, including employer paid health insurance, paid time off, a 401(k) plan with employer matching contributions, and other great benefits.

\n\n

Key Responsibilities

Develop, optimize, and maintain scalable data pipelines and ETL processes in Databricks.
Integrate data from diverse sources (plant SCADA systems, IoT devices, financial/ERP systems, market data, etc.).
Write efficient, maintainable code in Python for data transformation, automation, and analytics.
Design and maintain Delta Lake, SQL-based transformations, and structured streaming workflows.
Implement data quality checks, monitoring, and governance to ensure accuracy and reliability.
Collaborate with data analysts, business stakeholders, and operations teams to deliver insights.
Support Power BI and other visualization platforms by preparing curated datasets.
Apply JavaScript to extend visualization capabilities or enhance web-based reporting tools.
Ensure solutions are secure, scalable, and aligned with renewable energy industry compliance standards.

Required Qualifications

Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
3+ years of experience as a Data Engineer (preferably in energy, utilities, or industrial environments).
Strong hands-on experience with Databricks (PySpark, Delta Lake, Delta Sharing, MLflow a plus).
Proficiency in Python for data engineering and automation tasks.
Solid SQL skills for complex queries and data modeling.
Familiarity with cloud platforms (AWS, Azure, or GCP), especially in a data context.
Familiarity with CI/CD, Git, and DevOps best practices.

Preferred Qualifications

Experience with CI/CD pipelines, Git, and Terraform for Databricks.
Familiarity with dbt, Airflow, or other orchestration tools.
Understanding of data privacy, security, and compliance principles (e.g., row-level security, encryption).
Exposure to machine learning workflows and MLflow.
Exposure to JavaScript or related frameworks (React, D3.js) is a plus.

Role Expectations

Occasional work during evenings/weekends for maintenance or upgrades.
Location: Austin, TX - hybrid schedule (WFH Mon & Fri)
Travel: N/A
Job Level: Senior Engineer - no direct reports

\n\n\n\n\n\n

Origis Energy is an Equal Opportunity Employer (EOC). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. We are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We embrace and encourage our employees’ differences as that is what makes our employees unique. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. More information is available here.

California Applicants: Please review our California Privacy Policy and Notice at Collection.

Request for Support or Accommodations: As part of our effort to provide equal opportunity to qualified disabled veterans and individuals with disabilities, we are happy to offer support and special accommodations in order for you to successfully reach us with your interest. Please reach out to us at candidateaccommodations@origisenergy.com if you would like to request help with your application.

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Are you a data engineer, excited about building data products?

We're seeking an experienced candidate to join our data team to be part of the foundation for SoSafe's data-driven future, in one of Europe’s most successful cyber security startups. You'll play a pivotal role in shaping our data infrastructure and transforming raw data into actionable insights that power our product and drive business growth.

Here's how you'll make a difference:

Design, build, and maintain robust data pipelines and infrastructure to help our rapid business growth.
Collaborate closely with product, analytics, and other teams to deliver data-driven solutions that power our product roadmap and enhance customer experiences.
Take ownership of the data infrastructure, driving best practices and ensuring data reliability and performance.
Democratize data access by building scalable and secure data delivery mechanisms.
Ensure data pipeline reliability through robust monitoring, alerting, and CI/CD practices.
Stay up-to-date with the latest advancements in data engineering, evaluating new technologies and frameworks to enhance our data capabilities.
Actively participate in technical discussions, code reviews, and decision-making processes.
Effectively align stakeholder expectations and communicate technical concepts clearly.

What makes you a great fit:

5+ years of experience building and maintaining end-to-end data pipelines and infrastructure on AWS.
Strong experience in Python, SQL, and data engineering tools (DMS, Airflow, dbt), with experience in building event-driven architectures.
Solid understanding of DevOps practices, including Terraform and CI/CD as well as data warehouse management (monitoring, performance optimization, etc.).
Experience with data quality and governance practices.
Excellent communication and with a proven aptitude to build strong working relationships with colleagues.
Strong strategic thinking and a solution-oriented mindset.
Thrive in an exciting, vibrant environment, with a drive for continuous learning and adaptability to evolving problems. Proactive self-starter with a strong sense of ownership.
Fluent in English and optionally German.

Why Us?

At SoSafe, you'll be part of a cybersecurity team that thrives on innovation, safeguarding organizations against evolving threats and making the digital world a safer place. You will have the opportunity to make a real impact, surrounded by a vibrant and supportive team and environment committed to your professional growth.

What We Offer*

Work/Life balance: Flexible hours, 33 vacation days
Wellbeing and financial support: Access to Open Up, corporate discounts
Connection & community: Virtual events, collaborative team activities, and opportunities for local meet-ups
And the list goes on: Tech equipment, referral bonuses, dog-friendly HQ

*Perks and benefits listed above are for full-time employees and may vary slightly by office location. These are just a sample — you'll learn more during the interview process.

About Us

At SoSafe, we’re on a mission to make the digital world safer by addressing the human factor in cybersecurity. As one of the fastest-growing security awareness scale-ups worldwide, we leverage behavioural science and data-driven learning to empower people against cyber threats. Our Human Risk Management approach helps organisations turn their employees into their strongest line of defence.

Backed by leading VCs like Highland Europe and Global Founders Capital, we’re rapidly expanding across the globe. We’re looking for team players who want to drive meaningful change in cybersecurity, take ownership of their work, and grow with us.

If you thrive in a vibrant, purpose-driven environment that values innovation, diversity, and collaboration, then this is the place for you!

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Hey there!
We’re Fever, the world’s leading tech platform for culture and live entertainment,

Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.

Every month, our platform inspires over 300 million people in +40 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.

Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?

To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
Ready to be part of the experience?

Now, let’s discuss this role and what you will do to help achieve Fever’s mission.

Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team. We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.

About The Role

You’ll be part of the Data organization, building and operating the core technologies that enable data scientists, analysts and the different business units to leverage rich data in efficient and innovative ways to generate impact and connect people to the most relevant real-world experiences.
You'll own critical data pipelines of our data warehouse and the resulting data products that are used daily across the company to inform all sorts of decisions and models.
You'll ideate and implement tools and processes that increase our ability to exploit our diverse sources of data to solve business problems, understand behaviors, …
You'll work closely with other business units to understand the challenges they face and apply an engineering vision to create structured and scalable solutions to those challenges.
You'll contribute to the development of a complex data and software ecosystem using the latest technologies in the data and software engineering stack.

On Your First Month In Fever:

You will be fully integrated into the team. During this month you will have already participated in onboarding, pair programming, one to one, Scrum sessions, and you will have met the different departments at Fever
You will get familiar with Fever’s tech stack and frameworks used to develop our data strategy
You will attend some of the Fever Original’s experiences like Candlelight

After 3 Months In Fever:

You’ll be able to come up with solutions to new difficult problems and you'll be generating impact and creating new business opportunities.
You’ll have responsibilities and ownership over parts of our Data Warehouse or other critical tools.
You will participate in some of the hackdays or hackathons we organize with other teams, and you will mostly know everybody from the data and engineering communities.

On your 6th month in Fever:

You’ll contribute to the overall health of our data ecosystem, improving performance, scalability, robustness, …
You'll be able to identify gaps in our platforms and processes and be a champion for continuous improvement.
You’ll be mentoring other new joiners to the team.
You will participate in some of the team buildings we organise for your team or the whole engineering team.

Key Responsibilities

Have a data-oriented mindset to understand complex data assets and business challenges and use engineering skills to solve it.
Build trusted data assets that power Fever's decision making.
Build automatizations to create huge business opportunities.
Design, build and support modern and scalable data infrastructure, e.g.:\n\n
Understand the technical trade offs of different solutions, implement them and make them scalable
Collaborate with other engineers, and stakeholders to understand what data is required and how best to make it available in our Data Platform.
Write robust, maintainable code to orchestrate our ETL workflows and build data quality monitoring processes
Extend our data APIs
Build data tools to make the company more data-driven

About You

You have a strong background in at least two of the following areas: data engineering, business intelligence, software engineering.
You are an expert in Python3 and its data ecosystem
You have proven experience working with SQL languages.
You have worked with complex data pipelines.
You are smart, get stuff done, have great energy, and thrive in a fast paced environment
You are a collaborative team player with strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
You are proactive, driven, and bring positive energy to your work, thriving in dynamic settings.
You possess strong analytical and problem-solving abilities, backed by solid software engineering skills.
You are proficient in business English, ensuring clear and effective communication in a professional setting.

It would be a plus if you...

Collaborated effectively in a multidisciplinary team, interacting with roles like data analysts, data scientists, marketing, and product managers to meet project goals and deliver actionable insights.
Worked with scheduling and workflow orchestration tools, such as Airflow, or similar technologies, to manage data pipelines and automate tasks.
Worked databases like Snowflake and PostgreSQL for data storage, retrieval, and management, ensuring efficient and accurate data handling.
Utilized Business Intelligence (BI) tools, such as Metabase or Superset, for data visualization and reporting to support decision-making processes.
Integrated and interacted with APIs from popular marketing platforms (e.g., Facebook, Google, Instagram) to extract and process data relevant for analysis.
Developed data-powered tools and applications, either as part of a professional setting or through personal projects, showcasing hands-on skills in practical data applications.
Gained familiarity with tools and processes designed to support reproducible, production-ready machine learning applications, contributing to ML workflows.
Acquired knowledge of backend frameworks, including Django, and their use cases in data engineering and application development.

Benefits & Perks

Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
Stock options.
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Home office friendly
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with!
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
English Lessons
Gympass Membership
Possibility to receive in advance part of your salary by Payflow.

Thank you for considering joining Fever. We cannot wait to learn more about you!

If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch

Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!

If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.

If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice

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Your Mission

Customer Identity & Data Integration: Build and maintain unified customer identity models across momox businesses (Books & Media, Fashion, etc.), ensuring consistent use of data for analytics and reporting
Data Pipelines & Event Processing: Design, build, and optimize batch and streaming pipelines, leveraging Pub/Sub and BigQuery for real-time data flows
Operational & Logistics Data: Develop metrics and pipelines that support warehouse efficiency
ETL/ELT Development: Create and optimize robust data transformations, ensuring scalability, automation and reliability
Performance & Observability: Monitor pipeline SLAs, improve performance through multiprocessing/event-driven workloads and implement automated data quality checks
Collaboration & Ownership: Translate business requirements into technical solutions, collaborate with analysts and product teams and mentor junior engineers
Best Practices & Strategy: Define data engineering standards, promote automation and efficiency and contribute to long-term architectural decisions

Our Tech Stack

Data & Processing: GCP, BigQuery, Pub/Sub, Airflow, dbt
Infrastructure: Kubernetes, Cloud Run
Programming: Python (ETL/ELT, APIs, event processing, automation)
Security & Cost Optimization: IAM, encryption, slot reservation, Policy Tags
Versioning & CI/CD: GitLab CI, Terraform

Your Profile

At least 5 years of proven experience as a Data Engineer or in a similar role (e.g., Data Warehouse Engineer, BI Engineer with strong data focus)
Proven experience building scalable data pipelines (batch and streaming) in production environments
Hands-on expertise with BigQuery (optimization, cost-efficient design, partitioning, clustering) and broader GCP ecosystem experience
Platform and app deployments on Kubernetes (Airflow, Helm Chart, ArgoCD, Terraform)
Strong skills in Pub/Sub and event-driven architectures (Eventarc, Cloud Run)
Proficiency in Python for ETL/ELT development, APIs and automation
Strong Airflow experience for workflow orchestration and dbt proficiency with dimensional modeling expertise
Experience with data quality frameworks, automated testing and performance monitoring with observability practices
Background in e-commerce, retail or multi-product environments with complex data integration needs
Strong communication skills, collaborative mindset, and experience mentoring junior engineers and working with analytics teams

You Can Look Forward To

Flexible working hours: We work according to a hybrid model that offers you maximum flexibility while also fostering important personal connections. Whether in our centrally located office or working remotely - you and your team decide together where and when you want to work. You can arrange your working hours flexibly. For personal interaction, your team meets at least 20 days per quarter in the office, as our team days are held in person.
Training: momox is only as good as you. That's why you will find room and budget for your individual professional development with language classes, internal training, conferences, (online) courses and more.
Office dogs: \nOur office dogs contribute to a relaxed work atmosphere and are always happy to receive some extra cuddles.
1/2 day off on your birthday: Celebrate your birthday with half a day of vacation! Come in later, leave earlier, or simply take an additional half day off to have your entire birthday free – provided your birthday falls on a regular working day. Additionally, you get half a day off on December 24th and 31st.
Reduced ticket for the public transport: Save real money with the Germany or Job Ticket for the Berlin S-Bahn.
Team events: \nHaving fun at work and celebrating our successes together are core to our values. That’s why we regularly come together at various events to connect, get to know each other better, and strengthen our team spirit.
Company discounts: \nAs a momoxian, you can look forward to a monthly voucher for our momox Fashion online shop, as well as medimops. Additionally, you benefit from numerous company discounts from our partners.
Sustainability: We love second-hand and incorporate our sustainable business idea into the office routine with simple methods like using eco-friendly supplies, double-sided printing, energy-saving modes on devices, waste separation, etc. In doing so, we take responsibility and integrate sustainability into all our activities.
Sport and fitness offers: During the week, you have the opportunity to take part in various sports activities. Whether it's online training, massages, or stretching at your desk – there's something for everyone. You can also get a discounted membership for Urban Sports Club or Wellhub.
Individual work environment: \nDesign your ergonomic workspace just the way you like it – with height-adjustable desks and the laptop of your choice (MacBook or ThinkPad). If things get a bit noisy in the office, your Bose noise-cancelling headphones ensure uninterrupted focus. If needed, we can also provide you with an ergonomic chair or additional monitors for your home office.

","hiringOrganization":{"@type":"Organization","name":"momox","sameAs":"https://momox.biz/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Senior Data Engineer Spark - Scala F/H","datePosted":"2025-09-18","description":"

Description De L'Entreprise

Agence multi spécialiste composée de 350 collaborateurs répartis en communautés d’experts, Devoteam Lyon accompagne les DSI dans leur transformation digitale, avec un focus sur les nouvelles technologies comme le cloud (AWS, Microsoft Google), l'intelligence artificielle, la cybersécurité, la data, et l'automatisation des processus métiers.

Data Driven a pour ambition d’aider ses clients à transformer la valeur de leurs données en succès durable. Nous tirons parti à la fois de notre expertise sur les plateformes technologiques les plus innovantes et de notre connaissance métier avec la meilleure combinaison d’experts pour accompagner nos clients dans leur quête d’agilité, de compétitivité et de croissance durable.

Description Du Poste

Rejoignez l’équipe lyonnaise sur des missions en régie au sein de nos clients de secteurs d’activités variés (Banque, Finance, Assurance notamment).

En tant que Data Engineer Senior, vous êtes au cœur de nos projets data, de la conception à la mise en production.

Concevoir, développer et optimiser des pipelines de données robustes et évolutifs en utilisant Apache Spark et Scala.
Mettre en œuvre des solutions de traitement de données batch et temps réel pour des volumes de données importants.
Participer à la définition des architectures data et au choix des technologies adaptées.
Assurer la qualité et la performance des données ainsi que la scalabilité des infrastructures.
Collaborer étroitement avec les Data Scientists, les Data Analysts et les équipes métiers pour traduire les exigences fonctionnelles en solutions techniques.

Qualifications

Nous recherchons un(e) Data Engineer Senior, titulaire d’un diplôme d’ingénieur ou d’un Master 2 validé dans le domaine de la Data, avec une expérience significative d'au moins 5 ans poste formation dans un rôle similaire.

CompéTences Et QualitéS RecherchéEs :

Maîtrise parfaite d'Apache Spark et de Scala.
Solide expérience dans la conception et la mise en œuvre de pipelines ETL/ELT.
Maîtrise des outils d'intégration CI/CD (Jenkins, Gitlab) et de la méthode agile.
Aisance avec les écosystèmes Big Data (Hadoop, Kafka, etc.).
Autonomie, rigueur et capacité à résoudre des problèmes complexes.
Excellent esprit d'équipe et bonnes capacités de communication.

Pourquoi Nous Rejoindre :

Nous sommes une AI-Driven Company, partenaire des plus grands partenaires technologiques (Google, AWS, Microsoft, ServiceNow,…) et composée d'un important collectif d'experts (50 tribus d'expertise). Avec 75% de nos collaborateurs certifiés dont 100 % sur la GenAI, Devoteam s'impose comme une Learning Company, où l’apprentissage continu est au cœur de notre ADN.

Informations SuppléMentaires

Comment se déroule le processus de recrutement chez Devoteam ? Il comporte 2 à 3 entretiens :

- Talent Acquisition Interview : l'objectif est de faire le point sur vos compétences, votre niveau d'anglais et de valider vos éléments de motivation
- Tech & Business Interview : cet entretien vise à approfondir vos compétences techniques et à vérifier leur adéquation avec nos besoins lors d'un échange avec un expert métier
- Leadership Interview : il permet d'évaluer votre potentiel, vos ambitions et d'envisager votre évolution au sein de Devoteam.
Nous privilégions au moins un entretien en présentiel. Une prise de référence est demandée et, selon votre profil, des tests (techniques, anglais, personnalité...) peuvent vous être adressés.
Si votre candidature est retenue, nous vous faisons parvenir une proposition présentant les conditions d'embauche. En cas d'acceptation, le contrat de travail est formalisé.

Le Groupe Devoteam oeuvre pour l'égalité des chances, pour la promotion de ses collaboratrices et de ses collaborateurs au mérite et lutte activement contre toute forme de discrimination. Nous sommes convaincus que la diversité contribue à la créativité, au dynamisme et à l'excellence de notre organisation. Chaque candidature est donc considérée indépendamment de tout critère discriminatoire.

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Company Description

Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance.

We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.

Job Description

The Role

We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms.

This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics.

You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business.

What You’Ll Do

Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python
Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems
Model data using dbt, with an emphasis on quality, reuse, and documentation
Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics
Write high-performance SQL and support analytics and reporting teams in self-serve data access
Monitor and improve data quality, lineage, and governance across critical workflows
Collaborate with engineers, analysts, and business partners across the US, UK, and India

What You Bring

4+ years of data engineering experience, ideally in a global, distributed team
Strong Python development skills and experience
Expert in SQL for data transformation, analysis, and debugging
Deep knowledge of Airflow and orchestration best practices
Proficient in DBT (data modeling, testing, release workflows)
Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus
Strong grasp of data governance, observability, and privacy standards
Excellent written and verbal communication skills
Experience working with digital marketing and performance data, including:

Nice To Have

Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4)

Familiarity with BI tools like Tableau or Looker
Exposure to attribution models, media mix modeling, or A/B testing infrastructure
Collaboration experience with data scientists or machine learning workflows\n

Perks:

● Day off on the 3rd Friday of every month (one long weekend each month)

● Monthly Wellness Reimbursement Program to promote health well-being

● Monthly Office Commutation Reimbursement Program

● Paid paternity and maternity leaves

","hiringOrganization":{"@type":"Organization","name":"Forbes Advisor","sameAs":"https://www.forbes.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai, TN, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy.

*At the time of application, candidates must be Vietnam citizens.

\n\n

Job Responsibilities

\n\n

You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
You will develop intricate data processing pipelines, addressing clients' most challenging problems.
You will collaborate with data scientists to design scalable implementations of their models.
You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
You will use different distributed storage and computing technologies from the plethora of options available.
You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
You will collaborate with the team on the areas of data governance, data security and data privacy.
You will incorporate data quality into your day-to-day work.

\n\n

Job Qualifications

\n\n

Technical Skills

\n\n

At least 5 years professional experience in data engineering or related fields.
Proficient with Databricks (SparkSQL, PySpark, Spark DataFrames) and open table format design & optimisations (Delta Lake, Apache Iceberg)
Proficient with dbt (core/cloud) and advanced SQL for analytical transformations, streaming and batch data ingestion frameworks on cloud platforms (AWS/ Azure/ GCP).
Proficient with Python engineering skills with software engineering best practices.
Experience with using DevOps platforms (GitLab/GitHub CI/CD, Terraform) and containerisation.
Proficient with data quality, testing, and governance (Great Expectations, dbt tests, data contracts).
Working knowledge of modern data architecture patterns (Medallion, data mesh, data product approach).
Proficient with using orchestration/workflow tools.
Experience with observability & monitoring (logging, alerting, pipeline performance tracking).

\n\n

Professional Skills

\n\n

You thrive in a collaborative, flat environment that values transparency, openness, feedback and change.
You have a passion for learning and sharing knowledge as well as a desire to create meaningful solutions for business problems.
You are resilient in ambiguous situations and can approach challenges from multiple perspectives.
The following requirements are nice to have.
Attained a Cloud Data Engineer certification (GCP, AWS, or Azure) or a Databricks certification (Data Engineer Associate).
Experience leading and mentoring junior data engineers in large data teams, collaborating with business, analysts, and data scientists.
Experience in delivery of data governance frameworks including security and compliance in cloud data environments.
Working knowledge of multi-cloud architectures and cross-cloud data integration and experience in at least one warehouse (BigQuery, Redshift, Synapse).

\n\n\n

Other Things To Know

\n\n

Learning & Development

\n\n

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

\n\n\n

About Thoughtworks

\n\n

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

\n\n

#Li-Onsite

See here our AI policy.

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Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

Reports To:

Director of Data Engineering

Summary

We are in search of a talented and passionate Data Engineer to enhance our data engineering capabilities at Property Finder in Dubai. In this role, you will driving the development and maintenance of sophisticated data solutions, building data pipelines in batch and real time. Beyond that, you will contribute in building and maintaining the infrastructure necessary for data engineering processes.

Collaborating with cross-functional teams, you will contribute to building self-service data layers and provide crucial insights to align data architecture with broader business strategies. Your contribution towards innovative solutions and ensuring the highest standards of data quality.

Key Responsibilities:

Design and implement real time data pipelines in Cloud.
Design and implement complex ETL solutions for large datasets.
Optimise and fine-tune SQL and/or Python code for performance.
Design and maintain data models for efficient storage and retrieval.
Troubleshoot and resolve issues related to data pipeline performance.
Build and maintain self-service datasets to accelerate data democratization efforts.
Contribute to the initiatives for managing and optimizing infrastructure.
Implement best practices for version control and collaboration in Terraform.

Our Tech Stack:

Languages: Java/Scala, SQL & Python
Message Queues: Kafka, Kinesis Data Streams
Data stores: Snowflake, Redshift, Clickhouse, S3
Pipeline orchestration tool: Dagster (Legacy: Airflow)
Platforms & Services: Docker, Kubernetes
PaaS: AWS (ECS/EKS, DMS, Kinesis, Glue, Athena, S3 and others.)
ETL: FiveTran & DBT for transformation
IaC: Terraform (with Terragrunt)

\n\n\n\n\n\n\n\n

Essential Experience:

7+ years of experience as a Data Engineer
Experience with pub-sub, queuing, and streaming frameworks such as AWS Kinesis, Kafka, SQS, SNS.
Experience in real time processing engines like Apache Flink, Apache Spark etc.
Proficiency in programming languages like Java/Scala and Python
Experience with ETL/ELT, batch, streaming data processing pipelines.

Other Desired Experience:

Experience with Dubai Land Department or experience within Real Estate is desirable
Experience with modern cloud data warehousing, data lake solutions like Snowflake, BigQuery, Redshift.
Experience with AWS services (like S3, DMS, Glue, Athena, EKS, etc.)
Proven experience with data warehousing and dimensional data modelling guidelines and best practices
Familiar with ETL tools like FiveTran, DBT, Airbyte, etc
Experience with orchestration tools like Dagster, Airflow, AWS Step functions, etc.
Knowledge of CI/CD pipelines and automation.
Experience with Terraform and Terragrunt.
Experience with data stores like MySQL, MongoDB, DynamoDB, Aurora.
Familiar with BI tools like Tableau, QuickSight, Tableau, PowerBI, MicroStrategy, etc
Familiar with Tagging and tracking tools like Snowplow, Tealium,Segment.io etc
Experience with Realtime analytics solutions like Clickhouse, Rockset, Pinot, or Druid.
Experience with GCP and Google Analytics.

\n\n\n\n\n

Our promise to talent

At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.

\n\n\n\n\n

Property Finder Guiding Principles

\n\n\n\n\n\n\n\n

Think Future First
Data Beats Opinions, Speed Beats Perfection
Optimise for Impact
No Ostriches Allowed
Our People, Our Power
The Biggest Risk is Taking no Risk at All

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Find Us At:

Twitter

Facebook

Instagram

Glassdoor

\n\n\n\n\n","hiringOrganization":{"@type":"Organization","name":"Property Finder","sameAs":"https://www.propertyfinder.ae/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dubai, United Arab Emirates","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

The Strategy & Enterprise Analytics team, part of the Global Data Insight & Analytics (GDI&A) organization is looking for an experienced Data Engineer to work with Charging and Energy Services Analytics - Data Mart team for building foundational EV charging data products that enable reporting to company leadership on strategic information like public charging success (bowler) metrics, and empower other GDI&A teams to efficiently build data products and analytics across various EV domains, including charging reliability, battery health, ProPower, and grid services.

Master-level proficiency in distributed computing on GCP, real-time data processing, advanced data modeling in BigQuery, and leveraging the full suite of GCP data services.
Deep understanding of data governance, metadata management, data lineage, and data security framework
Ensures code is reviewed (e.g. via Code Guardians).
Reviews team’s code and ensures high-quality code reviews are conducted.
Optimizes pipelines, processes and design to minimize cost and maximize performance and reliability.
Implements advanced data systems
Drives cloud strategy and new technology adoption
Having expertise on Google cloud Platform services. Should be able to build Data Solution Architecture.
Expertise on BigQuery, Dataflow, Dataproc, Cloud Run, Pub/Sub.
Lead the design, development, and implementation of innovative, scalable, and high-quality software solutions
Drive technical strategy, architectural patterns, and best practices, ensuring alignment with company goals and long-term vision.
Make high-level technical decisions, including technology selection, and influence organizational technical strategy.
Create novel solutions and implement advanced architectural patterns, focusing on domain-driven design, clean architecture, event-driven patterns, caching, partitioning, latency, scalability, and availability.
Provide strategic insights and recommendations to leadership, proactively identifying gaps and proposing solutions.
Design, implement, and optimize systems for performance, security, privacy, and compliance, anticipating future requirements and building extensible solutions.
Deliver business outcomes by building systems that meet Service Level Objectives (SLOs), implementing sophisticated testing strategies, and driving quality tool adoption.
Lead and ensure high-quality code reviews, manage branching strategies, and promote Clean Coding practices.
Improve developer productivity by automating manual steps in CI/CD and reducing feedback loops.
Balance technical debt with business needs and collaborate effectively across teams and with leadership.
Master’s degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience).
5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred).
Strong proficiency in SQL, Python, with practical experience in designing and deploying cloud-based data pipelines using GCP services like BigQuery, Dataflow, and DataProc.
Experience with Astronomer, Airflow
Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments.
Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks.
Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data platform and microservices issues.
Proven ability to design resilient strategies, implement sophisticated release management, lead critical incident resolution, and conduct Root Cause Analyses (RCAs).
Excellent oral, written, and interpersonal communication skills.

\n","hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://corporate.ford.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai, Tamil Nadu, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

Company Description

efood is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.

Job Description

Are you passionate about leveraging data to drive informed decision-making and fuel business growth?

\nDo you have a knack for designing robust data infrastructure and optimizing data pipelines?

Let’S Talk!

\nAt efood we believe in the power of data as it is at the heart of everything we do in order to further expand and shape the online delivery landscape. Our Data team is working closely with our Product and Engineering teams, and they ensure the seamless flow of information that empowers our teams to make strategic decisions.

\nWe are currently in search of a Senior Data Engineer who will be responsible for designing, building and maintaining our data architecture and flows, and optimizing data warehouse and pipeline. In this role, you will be working with agile methodologies and your contributions will have immediate impact on the scalability, efficiency, and reliability of our data infrastructure, influencing day-to-day decisions at efood.

What You’Ll Do:

Design, deploy and manage infrastructure components and systems of the data platform
Design and maintain data warehouse (data preparation, data warehousing, reporting, analytics & data exploration and information delivery)
Support and maintain the data foundation that the reporting layer and dashboards rely on
Build, maintain, and deploy data products for analytics and data science teams on cloud platforms
Prepare high-level ETL mapping specifications
Develop complex code data scripts (usually in Python or SQL) to extract and manipulate data from multiple sources.
Act across all development levels - from data acquisition and manipulations to the solution deployment and ongoing support
Ensure data accuracy, integrity, privacy, security and compliance
Resolve end user reporting problems through collaboration with stakeholders
Troubleshoot technical issues and provide administrative support for the Business Intelligence toolbox

Nice To Have:

Experience with Columnar Databases (e.g. BigQuery, Redshift)
Experience with Infrastructure as Code tooling (e.g. Terraform)
Experience with Git and implementation of CI/CD pipelines
Familiarity in working with REST APIs
Basic knowledge of analytics concepts

\nLife @efood:
\nAt efood, no day is the same as the day before!

\nefooders know that working and having a good time aren't the opposite and that’s why every day at efood is a new adventure!

\nWe always aim higher and we thrive in finding solutions to push our limits further! We care about our customers, our employees, and our society.

\nWe seize every opportunity to celebrate achievements and milestones, but we also celebrate small things (like Fridays!)

\nEvery efooder is part of a fast-growing multinational company, with endless opportunities for professional growth and acquisition of new skills! We have an established, yet super creative and fun working environment, with talented and ambitious people whose ultimate goal is to maintain efood as the ideal workplace!

Qualifications

University/Bachelor’s Degree in Computer Science
At least 6 years of experience in a relevant position
Understanding and implementation experience with both relational and data warehousing models
Strong knowledge of data analysis, data transformation, conceptual data modeling, meta-data management, data mart schemas for optimal performance of business intelligence solutions
Strong programming experience with Python
Advanced SQL skills
Experience with at least one cloud provider (Google Cloud, AWS, Azure)
Experience with docker and container orchestration technologies (Kubernetes)
Experience with workflow scheduling tools (e.g. Apache Airflow, Argo workflows, Dagster, Luigi)
Analytical acumen with a strong sense of urgency and ownership in your work
Excellent communication and collaboration skills
Proven ability to work independently and as part of multidisciplinary team
Proficiency in Greek and English (verbal and written)

Additional Information

If you are happy, we are happy! That’s why we offer an attractive remuneration package for what you bring in!
We share a passion for food, so you will certainly appreciate the ticket restaurant card 💳 to spend in restaurants and/or food supplies. We are efooders after all!
We take care of you with Private Medical & Life Insurance from day #1 to keep you healthy and happy!
We prioritize your mental health 🧠 and offer round-the-clock access to an online mental health platform. You can schedule unlimited therapy sessions with certified psychologists and coaching sessions with experienced coaches.
We want you to grow with us🚀! And to help you keep improving, we provide you access to our online training platform where you can study 📖 topics for your personal and professional growth!
Are you a cappuccino lover ☕? Do you desperately want a cookie? Our cafeteria got you covered!
If you want to stay in shape 🏋️, our in-house gym awaits you fully equipped!
We are passionate about exploring, growing & learning and our Global Mobility plan is created to help our people find their purpose around the world 🌎!
Saving for the future? We’ve got your back! Our Pension Plan helps you invest in tomorrow while you enjoy today!

efood collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details.

","hiringOrganization":{"@type":"Organization","name":"Delivery Hero","sameAs":"https://www.deliveryhero.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Athens, Greece","addressCountry":"Greece","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"(Senior) Data Engineer – AI Booster Team (f|m|d)","datePosted":"2025-09-18","description":"

At idealo, Generative AI (GenAI) is becoming a multiplier across every team. The AI Booster Team is our internal technical competence center: we pair with product teams, build reusable GenAI building blocks and share best practices company-wide.

As a Data Engineer in our AI Booster Team, you’ll be at the center of this transformation: designing data pipelines, integrations, and automations that power GenAI use cases at scale. You’ll combine classic data engineering skills with modern AI infrastructure, ensuring that product teams have instant, reliable access to “LLM-ready” data and the automation tools they need to move fast.

This position is available full-time or part-time.

About Your New Role

Build robust pipelines: Ingest, transform, and unify data from APIs, databases, files, and streams into analytics- and LLM-ready formats.
Engineer integrations: Develop connectors and orchestrations (Airflow, n8n, Step Functions) that move data securely and efficiently between warehouses, APIs, CMSs, and GenAI services.
Operate modern data stores: Manage vector databases and feature stores to enable fast, reliable retrieval for RAG and ML use cases.
Ensure reliability & cost-efficiency: Implement data quality checks, lineage tracking, monitoring, and FinOps practices.
Enable self-service: Provide reusable workflows, templates, and automation components that empower product teams to build on top of your data infrastructure.
Coach & collaborate: Share best practices, write playbooks, and guide teams in building scalable data-driven and GenAI-enabled workflows.

Skills & Requirements

3 + years in data science / analytics, including A/B testing or causal inference at scale.
Expert SQL and Python (pandas, StatsModels / SciPy, scikit-learn); comfortable with notebooks and BI tools for storytelling.
Hands-on with LLM assessment - prompt / temperature sweeps, embedding similarity metrics, human-in-the-loop studies, and LLM-as-a-judge tools (e.g. Bedrock model evaluation, OpenAI Evals).
Familiar with Generative AI stacks (Hugging Face, LangChain/LlamaIndex, vector DBs like Pinecone/Qdrant) and retrieval-augmented generation concepts.
Proficiency in AWS analytics & MLOps: SageMaker Experiments / Pipelines, Bedrock, Athena, Lambda, Step Functions; able to automate evaluation workflows and cost dashboards.
Strong communication: can turn complex findings into clear, actionable insights and coach cross-functional teams.
We’re keen to see evidence of exceptional achievement - perhaps you’ve scaled a personal project to thousands of users, published influential research, ranked highly in competitive arenas (e.g. sports, Kaggle, hackathons) or maintain widely-used open-source libraries. Tell us what makes you stand out!

You don’t tick every single box? No worries! We hire people, not checklists, and value motivation to grow.

Requirements

At Idealo You Can Expect

You need vacation? We offer you 30 days of vacation. Not enough? You can \"buy\" an additional 15 days every year by converting your salary and it's seen as a positive thing.
You want to further your education? We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching & mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.
And what about the office? Our office in the heart of Berlin offers excellent free lunch, as well as free coffee, lemonades and after-work beer, in addition to the \"standard foosball\". It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.
You want full flexibility on your way to work and beyond? No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!
You don't live in Germany yet? We support you in the visa process and with your relocation.
Want to keep yourself fit? We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.

About Idealo

idealo is a Berlin success story: in 2000 we started out with the mission of helping consumers make the best purchasing decisions. Today, with ~2.5 million visits per day, ~50,000 shops, and more than ~500 million product offers, we are one of the most popular German e-commerce websites and one of the leading European shopping and comparison platforms. We are active as a price comparison platform in six countries (Austria, France, Germany, Great Britain, Italy, and Spain).
We are located in the heart of Berlin and offer a unique idealo spirit. Your ideas are the driving force that moves our business forward. Not only our product portfolio is diverse, but also the people who work on it. We want you just as you are! Origin, religion, gender, sexual orientation, or a degree of disability are irrelevant.
If you are passionate about improving the world of online shopping alongside ~700 idealos from ~60 nations, we are happy to receive your application!

Information for applicants with severe disabilities: As an applicant with a severe disability, you can get advice from our Representative Body for Severely Disabled People (SBV) during the application process. Please inform us regarding this topic.

For the inclusion of people with disabilities, our office is accessible without steps. When you start with us, we will see what else is needed!

#Li-Aj

","hiringOrganization":{"@type":"Organization","name":"idealo","sameAs":"https://www.idealo.de/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Berlin, Deutschland","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

Company Description

We believe the power of risk-driven investing can help anyone achieve a better life. And we’re here to make this potential a reality for an emerging global generation.

We provide individuals in the world’s fast-developing economies with guidance, tools, and easy market access so they can trade and invest with confidence. We aim to make our clients their own wealth manager: empowered to create investment strategies and make investment decisions effortlessly, in their own time, on their own terms, in their own way.

Our story goes back to the first days of online Forex trading - a pioneer of the Meta trader platform, Alpari, expanded rapidly in the world’s emerging markets and was joined in 2011 by our sister brand, FXTM. Now, we are adding further brands to our portfolio. Together, both brands have built a leading global presence in online trading serving over two million clients in 150 countries from regulated centres across four continents.

Exinity is an energetic and diverse company with offices across Europe, Asia and Africa, and we’re always looking for talented individuals to join us. ‘Freedom to Succeed’ is not just a promise we make to our clients and partners, but to our people too. We’ll help you develop a range of skills, take on early responsibility, and enjoy a rewarding and fulfilling career with a fast-growing, dynamic company.

Job Description

We are seeking a highly experienced Senior Data Engineer with strong expertise in Azure Databricks. This role will focus on building, supporting, and administering scalable, high-performance data pipelines that power real-time and batch analytics for trading, risk, and operational use cases. The ideal candidate will have a deep background in data bricks data engineering, administration, capital markets data, and thrive in an Agile, fast-paced environment.

Key Responsibilities:

Design, develop, and maintain robust data pipelines using Azure Databricks, Confluent, DLT, Spark, and Delta Lake to support trading and market data workflows.
Self-study the existing pipeline and enhance existing data pipelines, ensuring continuity, scalability, and performance improvements.
Production pipeline support services, including job monitoring, incident resolution, and performance tuning in production environments.
Administer Databricks workspaces, unity catalog, including cluster configuration, job scheduling, access control, and workspace optimization.
Build and maintain CI/CD pipelines using GitLab, enabling automated testing, deployment, and versioning of data engineering code.
Follow and enforce best practices in code management, including modular design, code reviews, and documentation using GitLab workflows.
Collaborate with fellow team members, business analysts, and data architect to understand data requirements and deliver high-quality solutions.
Build reusable components and frameworks to accelerate development and ensure consistency across data platforms.
Actively participate in Agile ceremonies (e.g., sprint planning, stand-ups, retrospectives) and contribute to continuous improvement of team processes.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering, with at least 2 years working with Azure Databricks.
Strong proficiency in PySpark, SQL, and Python.
Experience supporting production pipelines, including monitoring, alerting, and troubleshooting.
Experience with GitLab CI/CD, including pipeline configuration, runners, and integration with cloud services.
Familiarity with financial capital markets domain, such as market data feeds, order books, trade execution, and risk metrics.
Proven ability to work effectively in Agile development environments.
Azure certifications (e.g., Azure Data Engineer Associate).
Experience with real-time data processing using Kafka or Event Hubs.

Additional Information

Benefits & Perks
\nWe believe in fairly compensating all our people by providing them with a world-class health insurance plan and a range of both core benefits and flex benefits for individual preferences. You will receive:

Hybrid Working Policy
Discretionary performance related bonus
Personalized Flex-Benefits
A focus on your wellbeing, including talks and access to self-development tools.
Medical insurance for employees.
Comprehensive leave package of 40 days inclusive of Public Holidays

\nWhat you will love about Exinity:
\n“Freedom to succeed” is our core belief. It’s not just a promise we make to our clients and partners, but to our people too. We want our people to LEAP and so in this role you will…

[Learn] (e.g., from each other/from new projects).
[Exchange] (e.g., information and best practices in an open-minded environment).
[Advance] (e.g., by developing skills and accepting greater responsibilities/ your career progression and diversification).
[Prosper] (e.g., by acquiring skills/ by nurturing a team of x people).

Exinity is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

","hiringOrganization":{"@type":"Organization","name":"Exinity","sameAs":"https://exinity.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dubai, Dubai, United Arab Emirates","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"[Coupang Pay] Senior, Data Engineer (Fintech Data Platform)","datePosted":"2025-09-18","description":"

회사 소개

쿠팡 주식회사에서 분사한 쿠팡페이는 늘어나는 쿠팡 고객의 니즈에 부응하기 위해 개발된 맞춤형 전자결제대행서비스(PG)를 제공합니다. 쿠팡페이는 coupang.com 및 쿠팡이츠에서 물건을 구매하는 고객부터 쿠팡의 오픈마켓을 이용하는 판매자 그리고 쿠팡이츠 가맹점까지 쿠팡의 플랫폼을 이용하는 모든 이들에게 혁신적인 결제 및 금융 서비스 솔루션을 제공하는 데 중점을 두고 있습니다. 핀테크 분야에서 풍부한 경험을 쌓고 쿠팡 사업에 대해 그 누구보다 잘 알고 있는 직원들과 함께 쿠팡페이는 고객의 결제와 관련된 모든 경험들을 혁신하고자 합니다. 쿠팡페이에 대해 더 알고 싶으신가요? 쿠팡페이의 여정에 함께 하세요!

\n\n

팀 소개

쿠팡페이의 Fintech Data Platform 팀은 Spark, Flink 등 Big Data Processing 기술을 통해 쿠페이 에서 발생하는 하루 약 수백만 건의 주문/결제 데이터를 실시간으로 분석하고 있습니다.

실시간 분석 결과에 기반하여 그 처리량과 검출 기술 수준에서 이미 업계 최고 수준 시스템으로 평가 받고 있으며, 이를 통해 쿠팡페이는 탁월한 안정성을 바탕으로 거래를 처리하고 있습니다.

또한, Fintech Data Platform 팀은 데이터를 수집/가공/분석/보고하는 완전한 데이터 플로우를 구성하여 쿠팡에서 발생한 주문/결제/쿠페이 가입/인증 등 다양한 원천 데이터에 대한 광범위한 분석이 가능하도록 해 데이터에 기반한 의사결정을 가능하게 하고 있습니다.

Fintech Data Platform 팀은 지속적인 개선과 더 다양한 데이터 기반의 서비스 개발을 위해, Senior Data Engineer 를 채용합니다.

고객의 문제를 해결하기 위한 뛰어난 열정을 갖고 있고, 데이터 기반의 서비스 개발에 관심있는 분들은 지금 바로 지원하세요.

\n\n

업무 내용

다양한 팀과 긴밀하게 협업하여 데이터 요구사항을 파악하고, 비즈니스 성장을 이끌 핵심 KPI를 정의하며, 주요 속성들을 로그에 남기도록 데이터 소스 제공자에게 영향력을 행사합니다.
여러 이해관계자들과 협력하여 데이터 품질을 개선하고, 데이터 문제를 찾아 해결합니다.
Spark, Flink, Presto, Hudi, Doris, ClickHouse 등 최신 분산 처리 기술을 활용하여 대규모 데이터를 안정적으로 처리할 수 있는 확장 가능한 데이터 파이프라인을 설계하고 구축합니다.
핀테크 기술 조직 및 특정 비즈니스 유닛을 위한 Tableau 대시보드를 설계하고 구축합니다.

\n\n

자격 요건

데이터 모델링, 데이터 아키텍처, 데이터 웨어하우징에 대한 깊은 이해를 갖고 빅데이터 분야에서 일한 4년 이상의 경력
Spark, Flink 등 다양한 빅데이터 컴포넌트를 활용한 분산 처리에 대한 탄탄한 실무 경험
빅데이터 플랫폼, 데이터 웨어하우징 개념, SQL 및 NoSQL 언어, MPP 데이터베이스에 대한 폭넓은 경험
문제 해결 능력이 뛰어나고 실용적이며 개방적인 사고방식 보유
분산 환경에서 대규모 데이터를 처리한 경험
AWS 등 클라우드 기반 컴퓨팅 플랫폼 사용 경험 및 확장성과 안정성 관련 문제에 대한 이해
Java, Scala, Python 또는 유사 프로그래밍 언어 중 하나 이상을 사용한 실무 경험
컴퓨터 공학 또는 이에 준하는 학사 및/또는 석사 학위 보유
금융 서비스 산업 경험 우대
영어 가능자 우대

\n\n

전형 절차 및 안내사항

전형 절차

서류전형 > 전화면접 > 비대면면접 > 처우협의
전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.

참고 사항

본 공고는 모집 완료 시 조기 마감될 수 있습니다.
지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
취업 보호 대상자 (보훈대상자, 장애인 등)는 관련 법률에 따라 채용 우대를 받을 수 있습니다.
직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반 사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.

개인정보 처리방침

쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다.
https://www.coupang.jobs/kr/privacy-policy

서류 반환 정책

본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다.
당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일 (recruitingops@coupangpay.com) 로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.
당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일 간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.

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Job Overview

The Fintech Data Platform team at Coupang Pay analyzes approximately millions orders and payment data generated daily by Coupay in real-time through big data processing technologies like Spark, Flink, etc.

Our system, built on real-time analysis, is already hailed as a top-tier system in processing capacity and detection technology, ensuring utmost stability for transactions processed by Coupang Pay.

Furthermore, our Fintech Data Platform team enables comprehensive analysis of various source data from Coupang, including orders, payments, Coupay sign-ups, and authentications, by establishing a seamless data flow for data collection, processing, analysis, and reporting. This paves the way for data-driven decision making.

To drive continuous improvement and foster the development of diverse data-driven services, we are now opening a job position for Senior Data Engineer within the Fintech Data Platform team.

If you possess a strong passion for solving issues for customers and have a keen interest in developing data-driven services, we encourage you to apply today.

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Responsibilities

Work closely with other teams, identify their data needs, identify core KPI's to drive business growth, Influence source data producers to log key attributes.
Work closely with other stakeholders to improve the data quality, find and fix data issues.
Design and build reliable data pipelines using modern distributed processing technologies such as Spark, Flink, Presto, Hudi, Doris and ClickHouse with the ability to scale very large data volumes.
Design and build tableau dashboards for Fintech Tech units and specific Business units.

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Qualifications

3+ years of experience working on Bigdata with deep understanding of data modeling, data architecture, and data warehousing.
Strong hands-on experience in distributed processing using Spark, Flink or other big data components.
Extensive experience Bigdata Platform, Data Warehousing concepts and languages (SQL, NoSQL) and MPP databases.
Problem solver, Pragmatic and Open-minded.
Experience with handling large data volumes in a distributed environment.
Hands on experience with Cloud Based Computing platforms such as AWS and understanding of scalability and reliability issues.
Hands-on experience in one or more programming languages such as Java, Scala, Python or similar languages.
Bachelor's degree and/or Master's degree in Computer Science or equivalent.
Experience in financial services industry is a plus.
English speaker is a plus.

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Recruitment Process and Others

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

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Details To Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.
Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
We are proud to offer equal opportunities for all applicants.
Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

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Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.
https://privacy.coupang.com/en/land/jobs/

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Document Return Policy

This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupangpay.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

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Teamwork Makes The Stream Work.

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Roku Is Changing How The World Watches Tv

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About The Team

The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.

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About The Role

Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 3 days in the office.

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What You'Ll Be Doing

Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
Build data pipelines that optimise on data quality and are resilient to poor quality data sources
Own the data mapping, business logic, transformations and data quality
Low level systems debugging, performance measurement & optimization on large production clusters
Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
Maintain and support existing platforms and evolve to newer technology stacks and architectures

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We'Re Excited If You Have

Extensive SQL Skills
Proficiency in at least one scripting language, Python is required
Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
Experience with AWS, GCP, Looker is a plus
Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
5+ years professional experience as a data Engineer
BS in Computer Science; MS in Computer Science preferred
AI Literacy / AI growth mindset

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

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The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe here at any time.

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As a Senior Data Engineer, you’ll play a key role in shaping our data infrastructure—building scalable pipelines, enabling real-time insights, and helping teams across the company make smarter, data-driven decisions. You’ll work with leading technologies like Kafka, Airflow, Spark, and AWS, alongside a passionate team that’s driving the future of the crypto economy.

If you're excited about the intersection of data, fintech, and blockchain, we’d love to hear from you.

What You'Ll Be Doing:

Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources.
Develop and maintain batch & real-time data pipelines/ analytical solutions, prototypes, and proofs of concept for selected solutions
Develop, improve and simplify frameworks and tools to empower our data analysts and internal teams to make data-driven decisions.
Implement analytical projects with a focus on collecting, managing, analyzing, and visualizing data.
Deploy and use various big data technologies and run pilots to design and improve low latency data architectures at scale
Implement best practices for managing versions and source control for data product development
Be a technical leader and strategic thinker to decide the technology stacks used in the process
Work well independently but also in teams, with technical software engineers who can help with infrastructure set up, but be the expert on data related matters
Have a strong drive to develop oneself and take on bigger projects, with the ultimate aim of being a leader in the organization

What We'Re Looking For:

Bachelor’s degree in Computer Science or related field
5 years' relevant experience
Deep understanding of Big Data technologies such as Kafka, Airflow, Apache Superset, etc.
Experience with complex data modelling, ETL design, and using large databases in a business environment
Proficient in Python and SQL. Working knowledge or experiences with Java / Scala is a plus.
Experience with Big Data transformation technologies, especially Spark
Have built data pipelines end-to-end
Exposure to Cloud technologies on AWS or Azure
Advanced understanding and/or experience working in a Cryptocurrency/Blockchain/Fintech/Finance Trading domain preferred
Experience with data devops technology for deployment such as IoC (Terraform), Kubernetes, etc. is a plus

What’S In It For You:

Friendly and fun start-up work culture
Convenient work location located in the heart of CBD area
Generous annual leaves on top of national holidays
Medical coverage including GP, Specialist, TCM, and more
Self-care benefits and exciting fitness workshops/webinars
Vibrant office with a well-stocked pantry
Animal-friendly environment, with a fluff ball in the office

Find out more about Coinhako here https://www.coinhako.com/ and don't forget to visit our Careers Page https://www.coinhako.com/join-us

By submitting your application to us, you consent to the collection, use, disclosure and processing of your personal data in accordance with our privacy policy, which is accessible at https://www.coinhako.com/legal/sg-1/privacy_policy.

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Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.

The Role:

We are looking for a candidate to join our team who will be involved in the ongoing development of our Enterprise Data Warehouse (EDW) and supporting our POS [Point of Sale] Channel Data Management team. This role will include participating in the loading and extraction of data, including POS to and from the warehouse. The ideal candidate will be involved in all stages of the project lifecycle, from initial planning through to deployment in production. A key focus of the role will be data analysis, data modeling, and ensuring these aspects are successfully implemented in the production environment.

Your Contribution:

Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will:

Design, Develop, document, and test ETL solutions using industry standard tools.
Ability to design Physical and Reporting Data models for seamless cross-functional and cross-systems data reporting.
Enhance point-of-sale datasets with additional data points to provide stakeholders with useful insights.
Ensure data integrity by rigorously validating and reconciling data obtained from third-party providers.
Collaborate with data providers and internal teams to address customer data discrepancies and enhance data quality.
Work closely across our D&I teams to deliver datasets optimized for consumption in reporting and visualization tools like Tableau
Collaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into data solutions.
Participate in the design discussion with enterprise architects and recommend design improvements
Develop and maintain conceptual, logical, and physical data models with their corresponding metadata.
Work closely with cross-functional teams to integrate data solutions.
Create and maintain clear documentation for data processes, data models, and pipelines.
Integrate Snowflake with various data sources and third-party tools.
Manage code versioning and deployment of Snowflake objects using CI/CD practices
For consideration, you must bring the following minimum skills and behaviors to our team:

Key Qualifications:

A total of 6 to 10 years of experience in ETL design, development, and populating data warehouses. This includes experience with heterogeneous OLTP sources such as Oracle R12 ERP systems and other cloud technologies.
At least 3 years of hands-on experience with Pentaho Data Integration or similar ETL tools.
Practical experience working with cloud-based Data Warehouses such as Snowflake and Redshift.
Significant hands-on experience with Snowflake utilities, including SnowSQL, SnowPipe, Python, Tasks, Streams, Time Travel, Optimizer, Metadata Manager, data sharing, Snowflake AI/ML and stored procedures.
Design and develop complex data pipelines and ETL workflows in Snowflake using advanced SQL, UDFs, UDTFs, and stored procedures (JavaScript/SQL).
Comprehensive expertise in databases, data acquisition, ETL strategies, and the tools and technologies within Pentaho DI and Snowflake.
Experience in working with complex SQL Functions & Transformation of data on large data sets.
Demonstrated experience in designing complex ETL processes for extracting data from various sources, including XML files, JSON, RDBMS, and flat files.
Exposure to standard support ticket management tools.
A strong understanding of Business Intelligence and Data warehousing concepts and methodologies.
Extensive experience in data analysis and root cause analysis, along with proven problem-solving and analytical thinking capabilities.
A solid understanding of software engineering principles and proficiency in working with Unix/Linux/Windows operating systems, version control, and office software.
A deep understanding of data warehousing principles and cloud architecture, including SQL optimization techniques for building efficient and scalable data systems.
Familiarity with Snowflake’s unique features, such as its multi-cluster architecture and shareable data capabilities.
Excellent skills in writing and optimizing SQL queries to ensure high performance and data accuracy across all systems.
The ability to troubleshoot and resolve data quality issues promptly, maintaining data integrity and reliability.
Strong communication skills are essential for effective collaboration with both technical and non-technical teams to ensure a clear understanding of data engineering requirements.

In addition, preferable skills and behaviors include:

Exposure to Oracle ERP environment,
Basic understanding of Reporting tools like OBIEE, Tableau
BS/BTech/MCA/MS in computer science Information Systems or a related technical field or equivalent industry expertise.

Education:

Fluency In English.

Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.

“All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.”

Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.

Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!

We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.

All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.

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We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions.

Senior Data Engineer will play a critical role in designing, building, and maintaining scalable data pipelines and analytics solutions using Azure and Data bricks ecosystem . Collaborate closely with business stakeholders - to ensure data is accessible, reliable, and optimized for performance.

Requirements

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Job Description

CoStar Realty Information, Inc. seeks a Senior Data Engineer to drive the design of highly performant and highly available data solutions. Build solutions that operate on massive amounts of data in high transaction volume applications. Collaborate with QA resources to ensure that the software delivered is of the highest quality. Coordinate with product launch team and work closely with DevOps team to resolve operational issues. #LI-DNI

Position requires a Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field, followed by 5 years of progressively responsible experience with ETL and data pipelines. Experience must include a minimum of: 5 years of experience with analyzing technical requirements and designing new architectures, data models, and ETL strategies; 5 years of experience with database design, complex T-SQL programming, performance tuning, and index analysis; 5 years of experience with building and launching successful products that leverage terabytes of data; 5 years of experience with defining database architecture and development best practices; 5 years of experience with Microsoft SQL, Integration Services(SSIS), C#, and SQL replication; 3 years of experience with software architecture and pattern design with Agile development lifecycle methodology; 3 years of experience with object-oriented design and programming skills in C#; 1 year of experience with PostgreSQL design and implementation; and 1 year of experience with AWS in OpenSearch.

Job location: San Diego, CA. RATE OF PAY: $153,750.00 - $163,750.00 per year. To apply, please visit https://www.costargroup.com/careers and enter Job Code R37321 when prompted. Alternatively, please send your résumé, cover letter, and a copy of the ad to: CoStar, Attn: I. Anderson, CoStar, 17600 Laguna Canyon Road, Irvine, CA 92618.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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Job Description

CoStar Realty Information, Inc. seeks a Senior Data Engineer to design, build, test, and deploy scalable, reusable and maintainable applications that handle substantial amounts of data. Take ownership of work from development and testing to deployment and support in production. Collaborate with other engineers, product owners, designers, and leadership on matters of technical architecture, design, and code. Implement processes for evolution and improvement. Explore new technologies, tools, and best practices. #LI-DNI

Position requires a Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, followed by 5 years of progressively responsible experience with data pipelines, solving complex business problems, understanding business requirements and creating data engineering solutions. Experience must include a minimum of: 5 years of experience with performance tuning, optimizing database performance for ETL workloads using Microsoft business intelligence tools and SQL Server; 5 years of experience with creating dashboards, reports and data visualizations using tools such as Microsoft Power BI; 4 years of experience with cloud-based relational and non-relational databases using AWS or Azure, distributed data processing technologies including Apache Spark or Databricks; 3 years of experience with Azure DevOps utilizing source control tools for release deployment; 2 years of experience with job automation for repetitive tasks, AWS or Azure Services, SQL, Python, and PowerShell; and 2 years of experience with coordinating deployment and identifying and fixing data discrepancies.

Job location: San Diego, CA. RATE OF PAY: $184,975.00 – $194,975.00 per year. To apply, please visit https://www.costargroup.com/careers and enter Job Code R37322 when prompted. Alternatively, please send your résumé, cover letter, and a copy of the ad to: CoStar, Attn: I. Anderson, CoStar, 17600 Laguna Canyon Road, Irvine, CA 92618.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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Date Posted:

2025-04-11

Country:

India

Location:

1st Floor, Embassy Vajram Onyx, Embassy Tech Village, Outer Ring Road, Devarabisanahalli, Bengaluru, Karnataka - 560103, India.

Job Title: Senior Data Engineer

Years Of Experience: 5 – 8 Years

Role Overview: As a Senior Data Engineer you will be working in end to end development of scalable Big Data pipelines and Data streams and manage various data related objectives such as system configuration and integration on multiple platforms

On a typical day you will:

As a Data Engineer you will be working with one of the largest and most complex warehouse environments
Coordinate with key stakeholders and ensure effective design, development, validation in line with the stakeholder needs and architectural requirements
End to end development of scalable Big Data pipelines and Data streams
Manage various data related objectives such as system configuration and integration on multiple platforms
Develop key metrics for tests on data and ensure integrity of same on data architecture
Adhere to proper documentation based on each of the development activities
Work with huge data sets and exhibit problem solving, analytical and communication abilities
Will be working in a self-directed environment, take up responsibilities and drive them to completion

What you will Need to be Successful:

Problem solving, analytical and good communication abilities
Years of development experience with Azure Cloud and Big Data Analytic solutions
Hands on experience in Azure - Data Factory, Data Lake store/Blob storage, SQL DB
Experience in creating Big data Pipelines with Azure components
Good programming skills in Java, Scala or Python
SQL experience writing stored procedures, tuning indexes and troubleshooting performance bottlenecks
Advanced experience with Data Warehousing concepts and standards
Experience with ETL processing or ETL toolset
Data Management concepts and standards (SQL Server, Oracle, Cloud, Hadoop, etc.)
Experience with Big Data Solutions. Hive, Spark or other frameworks
Experience across cloud implementations and Solutions specially Microsoft Azure
Exposure to large databases, BI applications, data quality and performance tuning.
Practical knowledge of Linux or Unix, a plus
Experience in Snowflake (cloud data warehouse), a plus
Experience with MS Dynamics data integration and development, a plus
Experience with Oracle - JDE ERP, a plus

If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day.

Otis is the world’s leading elevator and escalator manufacturing, installation, and service company. We move 2 billion people every day and maintain approximately 2.2 million customer units worldwide, the industry's largest Service portfolio.

You may recognize our products in some of the world’s most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 69,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company.

When you join Otis, you become part of an innovative global industry leader with a resilient business model. You’ll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you’ll gain working alongside the best and brightest, keep us connected and on the cutting edge. 

We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs.

Today, our focus more than ever is on people. As a global, people-powered company, we put people – passengers, customers, and colleagues – at the center of everything we do. We are guided by our values that we call our Three Absolutes – prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here.

Become a part of the Otis team and help us #Buildwhatsnext!

Otis is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other protected class according to applicable law. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at careers@otis.com.

Privacy Policy And Terms:

Click on this link to read the Policy and Terms

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Ready to join a dynamic company in the hospitality and service industry where people help drive the success of the business? Since its inception in 1957, Invited has operated with the central purpose of building relationships and enriching the lives of our members, guests, and more than 17,000 employees. We are the largest owner and operator of private clubs nationwide, with 130+ country clubs, city clubs, and athletic clubs. Our Clubs offer first-class amenities, including championship golf courses, modern workspaces, handcrafted cuisine, resort-style pools, state-of-the-art racquet facilities, fitness centers, and much more. Come be a part of this incredible and inclusive team at Invited!

Senior Data Engineer

ClubCorp is looking for a highly-motivated and experienced senior data engineer and data technology expert who will be responsible for creating and maintaining business intelligence solutions to support enterprise data analytics. The Senior Data Engineer will lead the design, development, and optimization of data pipelines and analytics solutions focused on website performance and user behavior. This role will be instrumental in leveraging tools like Google Analytics, BigQuery, Power BI, and Azure Synapse Analytics to deliver actionable insights that drive digital strategy and enhance user experience across Invited Clubs’ web platforms.

Responsible For:

Website Analytics & Tagging:

Implement and manage Google Analytics tracking across multiple club websites.

Set up BigQuery exports and manage GA data pipelines for scalable analysis.

Collaborate with marketing and UX teams to define KPIs and tagging strategies.

Visualization & Reporting:

Build interactive dashboards in Power BI to visualize traffic trends, conversion metrics, and engagement patterns.

Ensure reports are intuitive and tailored to stakeholders across marketing, product, and executive teams.

Data Governance & Quality:

Implement rigorous data validation and quality checks.

Maintain documentation for data models, pipelines, and analytics processes.

Cross-Functional Collaboration:

Partner with UX designers, developers, and business analysts to align analytics with strategic goals.

Support QA/UAT processes during website redesign and rollout phases.

Required Qualifications And Experience:

Bachelor’s degree in Computer Science, Data Analytics, or related field.
5+ years of experience in data engineering or analytics roles.
Strong proficiency in SQL, Python, and PySpark.
Expertise in Google Analytics, BigQuery, and Power BI.
Familiarity with web analytics platforms and tag management systems.
Excellent communication and stakeholder engagement skills.
Possess excellent organizational skills with the ability to manage multiple responsibilities
Comfortable working in a fast-paced, dynamic environment and committed to meeting deadlines
Deep analytical, planning and problem-solving skills are required
Excellent verbal and written communication skills

What We Offer:

We believe in taking care of our team, and our Total Rewards package reflects that commitment. Your actual base pay will be determined by your skills, experience, education, location, and—if you're in a non-exempt role—hours worked.

While not all roles at Invited are full-time, those full-time team members have access to a comprehensive benefits package that includes:

Want to learn more? Visit www.invitedbenefits.com for full details.

Medical, dental, and vision coverage
Life insurance
Short-term and long-term disability insurance
401(k) retirement savings plan
Generous paid time off and leave programs (time off as required by applicable law is also provided for part time team members)

Have more questions? Check out our Invited Jobs website for more details about ClubLife, the Employee Experience, Company Benefits, and Our Culture. Be a part of our Social Networks: LinkedIn Instagram Twitter Facebook

Invited is an Equal Employment Opportunity Employer

The job posting outlines the general requirements for this position and is not a comprehensive list of duties, responsibilities, or requirements. Additional duties not mentioned here may be assigned as needed to ensure the smooth operation of the Club.

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🌟 About Us:

At 8020REI,\n you’ll play a key role in shaping the future of data analytics for the \nreal estate investment industry. You’ll have the opportunity to lead \ndata initiatives, work with cutting-edge technologies, and collaborate \nwith a dynamic team passionate about innovation and results.

Core Values At 8020rei:

Lead with Innovation: We constantly seek innovative solutions to improve our services and operations.
We’ve Got Your Back: Our dedication to surpassing expectations \nensures we deliver outstanding support and forge lasting partnerships.
Our Word is Our Bond: We maintain a foundation of integrity, fulfilling promises and upholding transparency.
We are Limitless: Our culture encourages continuous personal and professional growth, empowering each team member to excel.
Bring Your A-Game: We believe in prioritizing wellness and family, \nenabling our team to perform at their best for our clients and each \nother.\n

🌟Role Overview.

We seek a highly skilled and motivated Senior Data Engineer to spearhead our critical data infrastructure’s design, development, and optimization. You will play a pivotal role in shaping our data landscape, ensuring its scalability, reliability, and performance to power advanced analytics, machine learning models, and innovative AI-driven solutions.

This hands-on role allows us to shape our entire data landscape using Big Data technologies, PySpark, and AWS. You'll drive complex ETL processes, build robust data pipelines, and lead strategic initiatives, including API development and cloud migration. If you're passionate about solving complex data challenges and thrive in a dynamic environment, this role is designed for you.

Key Responsibilities:

Big Data Pipeline & ETL Architecture: Lead the design, development, and optimization of high-performance Big Data ETL/ELT pipelines using advanced PySpark techniques. Own our data lake strategy from ingestion through processing large-scale, diverse datasets to robust storage solutions.
Database & Data Lake Lifecycle Management: Take ownership of the end-to-end lifecycle for all core data storage systems, including the data lake and relational/NoSQL databases. This includes leading the technical design and implementation of new platforms, executing complex data migrations, and continuously optimizing for performance, scalability, and reliability.
AWS Cloud Infrastructure Management: Manage and optimize our comprehensive AWS Big Data ecosystem (EMR, Glue, Lambda, S3, Athena). Drive performance improvements and cost optimization while implementing security best practices (IAM, VPC). Lead strategic cloud migration initiatives for core database systems.
Data Quality, Governance & BI Support: Ensure data integrity through comprehensive testing, validation, and governance frameworks. Proactively monitor data pipelines, resolve issues efficiently, and support business intelligence initiatives with analytics-ready data for tools like Power BI.
Strategic Projects & Innovation: Drive high-impact projects, including public API development and AI/ML data foundations—champion innovation by exploring and implementing emerging technologies that enhance our data capabilities and support new business opportunities.
Cross-Functional Collaboration & Problem Solving: Partner with Data Science, Analytics, and Engineering teams to translate business requirements into effective technical solutions. Provide clear documentation and take ownership of complex data challenges with a solutions-first mindset.
Cloud Cost Administration & Governance: Take full ownership of the cloud data platform's budget, with the primary responsibility of proactively monitoring, managing, and reducing all related costs (e.g., compute, storage, data transfer) to ensure maximum financial efficiency.

Qualification:

Experience4+ years of hands-on Data Engineering experience with large-scale Big Data systems and a proven track record of delivering impactful solutions.
EducationBachelor's degree in Computer Science, Systems Engineering, Data Engineering, or related technical field.
Core Technical Skills:
Language RequirementsAdvanced English and Spanish proficiency (B2 or higher) required.
Nice to Have:
PySpark: Advanced proficiency including optimization techniques, performance tuning, and distributed processing expertise
Python: Strong programming capabilities with clean, efficient code practices
AWS Ecosystem: Deep experience with EMR, Glue, Lambda, S3, Athena, Step Functions, IAM, API Gateway, EC2, and AWS networking (VPC, subnets, security groups)
SQL: Advanced skills in complex queries and data manipulation
Big Data Fundamentals: Solid understanding of distributed computing, analytical data modeling, and data warehousing
Data Engineering Principles: Strong grasp of pipeline design, data modeling, and lifecycle management with the ability to articulate technical decisions
Database & Data Lake Technologies: Expert-level SQL skills with demonstrated mastery in complex query optimization, performance tuning, and robust data modeling. This must be combined with proven, hands-on experience implementing solutions using at least one modern data lakehouse framework (Apache Hudi, Apache Iceberg, or Delta Lake).
BI tools expertise (Power BI, Tableau, QuickSight)
NoSQL database experience (MongoDB)
Infrastructure as Code (AWS CloudFormation)
Agile/SCRUM methodology experience
Demonstrated commitment to continuous learning and emerging technologies

Why Join Us?

At 8020REI, you’ll play a key role in shaping the future of data \nanalytics for the real estate investment industry. As a Senior Data \nScientist, you’ll have the opportunity to lead data initiatives, work \nwith cutting-edge technologies, and collaborate with a dynamic team \npassionate about innovation and results.

📝 What We Offer:

Competitive Base Compensation
Profit Share Bonus
Flex PTO (up to 26 days per year)
Home Office Upgrade Bonus
HMO Bonus
Full-time Remote Work
Opportunity for growth and team-building potential
Ongoing support and budget to develop new skills

Join us at 8020REI and contribute directly to revolutionizing the real estate investment landscape!

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The Role:

The Senior Cloud/Data Engineer will build, optimize, and maintain our modern data infrastructure. The ideal candidate will have hands-on experience with cloud-native data platforms, particularly Snowflake and AWS services, and will develop and maintain scalable data pipelines and feature engineering pipelines. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

Responsibilities:

Work with Product team to determine requirements and propose approaches to address users' needs.
Analyze requirements to determine approach/proposed solution.
Design and Build Solutions using relevant programming languages.
Thoroughly test solutions using relevant approaches and tools
Bring out-of-box thinking and solutions to address challenging issues.
Effectively prioritize and execute tasks in a fast-paced environment.
Work both independently and in a team-oriented, collaborative environment.
Highly self-motivated and directed.
Demonstrate a commitment to our core values.

Requirements:

Strong verbal and written communication skills.
Experience designing and developing enterprise applications.
Hands-on software troubleshooting and problem-solving abilities.
Experience across the software development lifecycle, including requirements gathering, analysis, design, development, and testing.
Experience with cloud-native data platforms, especially Snowflake and AWS services.
Continuously learn and adapt to new technologies

Must Haves:

Proficiency with databases (e.g., Snowflake, DB2, Redshift) and dimensional modeling.
Hands-on experience with AWS architecture and services (Lambda, Glue, Kinesis, Firehose, Athena, S3, Cloudwatch, Dynamodb, API Gateway).
Proficient in Python, SQL, and scripting (e.g., Unix shell scripts).
Experience building feature engineering pipelines.
Experience with CI/CD tools such as GitHub, GitHub Actions, CodePipeline, and CloudFormation.
Knowledge of user authentication and authorization across systems, servers, and environments.
Experience with Tecton or Sagemaker or similar feature stores.
Experience with NoSQL databases.
Ability to take ownership and proactively ensure delivery timelines are met.

Great To Haves:

Experience in data pipeline development using modern ETL tools, specifically Informatica PowerCenter and/or Informatica IICS.
Experience with Airflow.

","hiringOrganization":{"@type":"Organization","name":"NirYu","sameAs":"https://www.nir-yu.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

Job Description

\n\n\n\n

\n\n

Job Responsibilities

\n\n

You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
You will develop intricate data processing pipelines, addressing clients' most challenging problems.
You will collaborate with data scientists to design scalable implementations of their models.
You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
You will use different distributed storage and computing technologies from the plethora of options available.
You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
You will collaborate with the team on the areas of data governance, data security and data privacy.
You will incorporate data quality into your day-to-day work.

\n\n

Job Qualifications

\n\n

Technical Skills

\n\n

Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems.
You have hands-on experience of data modeling and modern data engineering tools and platforms.
You have experience in writing clean, high-quality code using the preferred programming language.
You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
You have experience with data visualization techniques and can communicate the insights as per the audience.
You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).

\n\n

Professional Skills

\n\n

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

\n\n\n

Other Things To Know

\n\n

Learning & Development

\n\n

\n\n\n

About Thoughtworks

\n\n

\n\n\n\n\n

#Li-Remote

See here our AI policy.

","hiringOrganization":{"@type":"Organization","name":"Thoughtworks","sameAs":"https://www.thoughtworks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

About Data Axle:

\n\n

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the US. Data Axle has set up a strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA.

\n\n

Roles & Responsibilities:

\n\n

We are looking for a Senior Data Engineer who will design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.

\n\n

Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
Creation and support of real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena.
Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.
Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.
Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

\n\nQualifications\n

7+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
Demonstrated strength in data modeling, ETL development, and data warehousing.
Experience using big data processing technology using Spark.
Knowledge of data management fundamentals and data storage principles.
Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, Power BI etc.).
Experience working with AWS big data technologies (Redshift, S3, EMR, Spark).
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Experience working with distributed systems as it pertains to data storage and computing.
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

","hiringOrganization":{"@type":"Organization","name":"Data Axle Inc.","sameAs":"https://www.data-axle.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

\n\n

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

\n\n

Responsibilities

Core Data Infrastructure

Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena)
Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks
Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions.
Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics.

Governance & Collaboration

Ensure data quality, lineage, and observability.
Develop and enforce data governance policies, including compliance monitoring and privacy protection.
Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows.

Advanced Data Operations

Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities.
Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes.
Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces.
Participate in on-call rotation, as needed.

Ai-Enhanced Development

Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code.
Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems.
Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
Generate and maintain living documentation that evolves with code changes.

Leadership & Innovation

Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies.
Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools.
Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration.
Drive innovation in data architecture by experimenting with emerging technologies.

\n\n

Qualifications

Minimum Qualifications

3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue
Experience with DBT, Databricks or similar data platform tooling
Experience working with structured and unstructured data and implementing data quality frameworks
Excellent communication and collaboration skills
Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity
Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Experience in a SaaS or e-commerce environment with AI/ML products
Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming
Familiarity with LLMOps and AI model deployment patterns in data infrastructure
Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
Experience with containerization and orchestration tools like Docker and Kubernetes

\n\n

Travel Required

Up To 10%

\n\n

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

\n\n

What it’s like to work at Rithum

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum You Will:

Partner with the leading brands and retailers.
Connect with passionate professionals who will help support your goals.
Participate in an inclusive, welcoming work atmosphere.
Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
Receive industry-competitive compensation and total rewards benefits.

\n\n

Benefits

Medical coverage provided through Irish Life Health; premiums paid by the company
Life & disability insurance
Pension plan with 5% company match
Competitive time off package with 25 Days of PTO, 11 Company-Paid holidays, 2 Wellness days and 1 Paid Volunteer Day
Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
Charitable contribution match per team member

\n\n

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

","hiringOrganization":{"@type":"Organization","name":"Rithum","sameAs":"https://www.rithum.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ireland - Remote","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

\n\n

Overview

\n\n

Responsibilities

Core Data Infrastructure

Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena)
Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks
Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions.
Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics.

Governance & Collaboration

Ensure data quality, lineage, and observability.
Develop and enforce data governance policies, including compliance monitoring and privacy protection.
Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows.

Advanced Data Operations

Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities.
Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes.
Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces.
Participate in on-call rotation, as needed.

Ai-Enhanced Development

Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code.
Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems.
Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
Generate and maintain living documentation that evolves with code changes.

Leadership & Innovation

Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies.
Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools.
Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration.
Drive innovation in data architecture by experimenting with emerging technologies.

\n\n

Qualifications

Minimum Qualifications

3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue
Experience with DBT, Databricks or similar data platform tooling
Experience working with structured and unstructured data and implementing data quality frameworks
Excellent communication and collaboration skills
Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity
Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Experience in a SaaS or e-commerce environment with AI/ML products
Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming
Familiarity with LLMOps and AI model deployment patterns in data infrastructure
Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
Experience with containerization and orchestration tools like Docker and Kubernetes

\n\n

Travel Required

Up To 10%

\n\n

Other Duties

\n\n

What it’s like to work at Rithum

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

At Rithum You Will:

Partner with the leading brands and retailers.
Connect with passionate professionals who will help support your goals.
Participate in an inclusive, welcoming work atmosphere.
Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
Receive industry-competitive compensation and total rewards benefits.

\n\n

Benefits

Medical, Dental and Psychology benefits
Life insurance and disability benefits
Competitive time off package with 25 Days of PTO, 13 Company-Paid Holidays, 2 Wellness days and 1 Paid Volunteer Day
Voucher program for Transportation, Meals & Childcare
Work from the Madrid co-working space, if desired
Remote Working Stipend: €40/month automatically applied in payroll
Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
Charitable contribution match per team member

\n\n

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Sprout Social is looking for a Data Engineer to join our Data Foundations team. This team builds the internal data infrastructure, pipelines, and products that empower analytics, data science, and business stakeholders across Sprout. While our software engineers are focused on delivering customer-facing platform features, our data engineers specialize in ensuring data is reliable, well-modeled, and accessible to fuel smarter decisions and internal innovation.

Why join Sprout Social’s Data Engineering team?

Sprout Social empowers businesses worldwide to harness the immense potential of social media in today’s digital-first world. Processing over one billion social messages daily, our platform delivers insights and actionable intelligence to more than 30,000 brands. These insights guide strategic decisions, drive growth, and foster deeper connections with customers.

Our Data Foundations team plays a critical role in this by enabling Sprout’s internal stakeholders—analytics, product, finance, sales, and beyond—to work with trustworthy, scalable, and reusable data. You’ll be helping build the pipelines, curated datasets, and data products that unlock value across the business and extend Sprout’s data-driven culture.

What You’Ll Do

\nImplement ELT with managed connectors and/or open-source ingestion; codify transformations with frameworks that bring testing, CI/CD, and data contracts to analytics code.\n
\nCreate robust data ingest from both common and custom sources; design resilient models that serve analytics, experimentation, and operations.\n
\nPartner with product and business stakeholders to define clear metrics and a semantic layer.\n
\nImplement best practices in schema design, data modeling, and metadata management.\n
\nOwn and evolve internal data infrastructure for quality, monitoring, and discoverability.\n
\nProvide pragmatic analyst and data science support (SQL debugging, orchestration bootstraps, troubleshooting) to unblock teams while the function scales.\n
\nMentor Sprout’s Data Eng team members and help in the hiring process.\n
\nPartner with software engineering teams where application data intersects with internal pipelines—ensuring business-critical data is clean, structured, and usable.\n

What You’Ll Bring

We’re looking for a data engineer with a strong foundation in data infrastructure and a passion for enabling others to succeed through high-quality data.

The minimum qualifications for this role include:

5+ years of professional experience in data engineering or at least 5 years of hands-on experience building, deploying, and maintaining production-grade data infrastructure and pipelines.
Advanced/Expert level in SQL (e.g. MySQL, PostgreSQL) and data modeling; Proven experience modeling across a diversity of business domains. Proficiency in Python.
Working familiarity with ELT + transformation frameworks (e.g., dbt) and with orchestrators (e.g., Airflow, dbt.).
Experience building internal data products (curated datasets, semantic layers, or reusable modeling frameworks).
Pragmatic engineering habits: testing, version control, PR reviews, incident management, incident CI/CD, documentation, and observability for data.
Built transformations with dbt (or similar) and managed semantic layers/metrics for BI (Tableau, Hex, Looker).
Demonstrated experience collaborating with stakeholders from functions such as Product, Analytics, or Finance to gather requirements, define project scope, and deliver data solutions.

Preferred qualifications for this role include:

Understanding of data quality frameworks, testing, and monitoring practices.
Familiarity with event-driven or streaming frameworks (Kafka or NSQ, Kinesis, Pub/Sub).
Exposure to cloud infrastructure (AWS, GCP, or Azure) and cost optimization for data platforms.

\n\n

How You’Ll Grow

Within 1 month, you’ll plant your roots, including:

\nComplete Sprout’s New Hire onboarding program and meet peers across Data Foundations, Data Science, Engineering.\n
\nLearn the team’s existing data stack, pipelines, and modeling frameworks.\n
\nShadow teammates to understand how internal stakeholders use curated datasets today.\n
\nPartner with your manager to scope your first pipeline or modeling task to own.\n

Within 3-6 months, you’ll start hitting your stride by:

Delivering your first production-ready pipeline, dataset, or internal data product.
Collaborating with analysts and data scientists on requirements for reusable modeling layers.
Gaining deeper familiarity with Sprout’s data warehouse(s) and orchestration environment—and starting to suggest improvements.
Audit our existing deployment procedures.
Add data sources to our production data warehouse.
Within 12 months, you’ll make this role your own by:
\nTaking technical ownership of a set of pipelines or data products relied on by stakeholders across the business.\n
\nIdentify technical debt and performance bottlenecks within our systems, come up with a plan to improve the code, and get it pushed to production.\n
\nActing as a mentor to newer members of the Data Foundations team while continuing to grow your own expertise.\n
\nHelping shape the team’s roadmap and long-term data foundations strategy.\n

\n\n\n

Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager.

Our Benefits Program

We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes:

Insurance and benefit options that are built for both individuals and families
Progressive policies to support work/life balance, like our flexible paid time off and parental leave program
High-quality and well-maintained equipment—your computer will never prevent you from doing your best
Wellness initiatives to ensure both health and mental well-being of our team
Ongoing education and development opportunities via our Grow@Sprout program, employee-led diversity, equity and inclusion initiatives and mentorship programs for aspiring leaders
Growing corporate social responsibility program that is driven by the involvement and passion of our team members

The base pay range for this role is $128,000 (min), $160,000 (mid), $192,000 (max) CAD annually. Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements.

The listed ranges represent the full earning potential in this position. Starting salaries for well-qualified new hires are typically around the midpoint of the range. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.

Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package.

Candidates for this remote work opportunity must be based in either British Columbia or Ontario. If you are based in another location within Canada, we aren’t able to hire in your location at this time; however, if you’d like to stay in touch with us in case that changes in the future, please apply and we’ll save your application for possible future consideration.

#Li-Remote

Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice.

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Description De L'Entreprise

Avec près de 11 000 collaborateurs à travers le monde, nous accompagnons les entreprises dans leur transformation numérique. Nous imaginons et concrétisons leurs ambitions grâce aux possibilités infinies des plateformes digitales, pour faire évoluer leur culture et leur mode de travail, et créer de la valeur dans leurs organisations.

Présent dans 18 pays d’Europe et du Moyen-Orient et fort de 25 ans d’expérience, nous mettons la technologie au service de l'Homme afin de construire un monde plus humain et plus durable.

L’agence lyonnaise est composée de 350 collaborateurs répartis en communautés d’experts. Devoteam Lyon accompagne les DSI dans leur transformation digitale, avec un focus sur les nouvelles technologies comme le cloud (AWS, Microsoft, Google), l'intelligence artificielle, la cybersécurité, la data, et l'automatisation des processus métiers.

Devoteam A Cloud aide ses clients à se transformer en véritables entreprises plateformes grâce à l’adoption du Cloud AWS, tout en participant à la construction d’une économie numérique plus durable.

Notre ambition est de repousser les limites de l’innovation pour les organisations confrontées aux enjeux technologiques actuels, en tirant parti des plateformes cloud pour tester rapidement de nouvelles idées et innover de façon agile et optimisée.

Pour développer l’activité AWS au sein de la Squad A cloud, nous recherchons un(e) Consultant(e) Senior Data Engineer AWS

Description Du Poste

Vos Missions au Quotidien ☁️

Accompagner les métiers dans le cadrage et le delivery de leurs cas d’usage data.
Industrialiser et assurer le run des pipelines de traitement de données en production.
Encadrer et accompagner les profils plus juniors dans leur montée en compétences.
Être force de proposition auprès du client pour faire évoluer sa plateforme data.
Concevoir et animer des présentations techniques afin de partager votre expertise avec les collaborateurs.
Participer à la tenue d’entretiens techniques pour contribuer à la croissance du collectif.
Intervenir en shadow sur des avant-ventes pour aider à la conception de solutions techniques destinées à nos futurs clients.

Qualifications

Vos Atouts pour Réussir ✨

Vous disposez d’une solide maîtrise de Python, Git, SQL ainsi que d’au moins une librairie dédiée au traitement de données (Pandas, Polars, Dask, Spark…).
Vous avez une bonne compréhension des architectures data et de leurs enjeux : SQL vs NoSQL, OLTP vs OLAP, ACID vs BASE, Batch vs Streaming, Datalake vs Data Warehouse vs Lakehouse.
Vous avez déjà travaillé sur l’écosystème AWS (ou un autre hyperscaler comme Azure ou GCP) et vous êtes à l’aise avec Spark pour le traitement distribué de données.
Vous avez une expérience concrète en mise en production et en run de pipelines de données, et vous connaissez les outils d’orchestration comme Airflow ou Dagster.
Vous appliquez au quotidien les méthodes Agiles et êtes capable d’évoluer dans un contexte collaboratif.
Vous êtes diplômé(e) d’une formation supérieure en informatique ou équivalent.
Bonus : vous maîtrisez les concepts de modélisation de données, les optimisations Spark, ou avez déjà travaillé sur des plateformes data managées comme Snowflake, Databricks ou DBT. Une expérience sur l’Infrastructure as Code (Terraform, CloudFormation) ou les outils de CI/CD (GitLab CI, GitHub Actions, Jenkins) serait également un vrai plus.

Pourquoi Nous Rejoindre :

Nous sommes une IA-Driven Company : Né lors des prémices de la révolution tech, Devoteam est le partenaire de confiance qui a accompagné ses clients vers l'évolution d'Internet, du Cloud, et désormais, de la révolution de l'IA. Pour cela, 100% de nos collaborateurs sont certifiés GenAI. Rejoindre Devoteam, c’est apprendre en continu. Avec 75% de collaborateurs certifiés, Devoteam est une Learning Company où l’apprentissage est au cœur de notre modèle. Avec 50 tribus d’expertise composées de leaders technologiques, nous collaborons avec les plus grands partenaires technologiques : Google, AWS, Microsoft, ServiceNow, Snowflake, et bien d’autres. Ce collectif d’experts contribue à animer nos communautés métiers et à présenter chaque année son point de vue sur les technologies via le Tech Radar.

Informations SuppléMentaires

👉🏻 Avantages

Pour faire de notre collaboration un succès, nous vous proposons :

🤓 Un compte AWS dédié par consultant pour expérimenter au gré de votre imagination
💶 Intéressement et participation
📈 Une trajectoire sur mesure que nous élaborons ensemble
🎓 Des accès gratuits et illimités à des plateformes E-learning pour monter en compétences sur les technos que vous jugez prometteuses (Udemy / Cloud Guru / WhizLabs)
🏡 Une politique de télétravail flexible avec remboursement de certains frais
🏋️ Un abonnement Gymlib (et donc une multitude de choix pour faire du sport à petit prix !)
💻 Laptop au choix (Mac ou Windows)

Comment se déroule le processus de recrutement chez Devoteam ? Il comporte 2 à 3 entretiens :

Talent Acquisition Interview : l'objectif est de faire le point sur vos compétences, votre niveau d'anglais et de valider vos éléments de motivation,
Tech & Business Interview : cet entretien vise à approfondir vos compétences techniques et à vérifier leur adéquation avec nos besoins lors d'un échange avec un expert métier,
Leadership Interview : il permet d'évaluer votre potentiel, vos ambitions et d'envisager votre évolution au sein de Devoteam.

Nous privilégions au moins un entretien en présentiel. Une prise de référence est demandée et, selon votre profil, des tests (techniques, anglais, personnalité...) peuvent vous être adressés.

Si votre candidature est retenue, nous vous faisons parvenir une proposition présentant les conditions d'embauche. En cas d'acceptation, le contrat de travail est formalisé.

Le Groupe Devoteam œuvre pour l'égalité des chances, pour la promotion de ses collaboratrices et de ses collaborateurs au mérite et lutte activement contre toute forme de discrimination. Nous sommes persuadés que la diversité contribue à la créativité, au dynamisme et à l'excellence de notre organisation. Tous nos postes sont ouverts aux personnes en situation de handicap.

","hiringOrganization":{"@type":"Organization","name":"Devoteam","sameAs":"https://www.devoteam.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lyon, Auvergne-Rhône-Alpes, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

What You’Ll Do

\nImplement ELT with managed connectors and/or open-source ingestion; codify transformations with frameworks that bring testing, CI/CD, and data contracts to analytics code.\n
\nCreate robust data ingest from both common and custom sources; design resilient models that serve analytics, experimentation, and operations.\n
\nPartner with product and business stakeholders to define clear metrics and a semantic layer.\n
\nImplement best practices in schema design, data modeling, and metadata management.\n
\nOwn and evolve internal data infrastructure for quality, monitoring, and discoverability.\n
\nProvide pragmatic analyst and data science support (SQL debugging, orchestration bootstraps, troubleshooting) to unblock teams while the function scales.\n
\nMentor Sprout’s Data Eng team members and help in the hiring process.\n
\nPartner with software engineering teams where application data intersects with internal pipelines—ensuring business-critical data is clean, structured, and usable.\n

What You’Ll Bring

We’re looking for a data engineer with a strong foundation in data infrastructure and a passion for enabling others to succeed through high-quality data.

The minimum qualifications for this role include:

5+ years of professional experience in data engineering or at least 5 years of hands-on experience building, deploying, and maintaining production-grade data infrastructure and pipelines.
Advanced/Expert level in SQL (e.g. MySQL, PostgreSQL) and data modeling; Proven experience modeling across a diversity of business domains. Proficiency in Python.
Working familiarity with ELT + transformation frameworks (e.g., dbt) and with orchestrators (e.g., Airflow, dbt.).
Experience building internal data products (curated datasets, semantic layers, or reusable modeling frameworks).
Pragmatic engineering habits: testing, version control, PR reviews, incident management, incident CI/CD, documentation, and observability for data.
Built transformations with dbt (or similar) and managed semantic layers/metrics for BI (Tableau, Hex, Looker).
Demonstrated experience collaborating with stakeholders from functions such as Product, Analytics, or Finance to gather requirements, define project scope, and deliver data solutions.

Preferred qualifications for this role include:

Understanding of data quality frameworks, testing, and monitoring practices.
Familiarity with event-driven or streaming frameworks (Kafka or NSQ, Kinesis, Pub/Sub).
Exposure to cloud infrastructure (AWS, GCP, or Azure) and cost optimization for data platforms.

How You’Ll Grow

Within 1 month, you’ll plant your roots, including:

\nComplete Sprout’s New Hire onboarding program and meet peers across Data Foundations, Data Science, Engineering.\n
\nLearn the team’s existing data stack, pipelines, and modeling frameworks.\n
\nShadow teammates to understand how internal stakeholders use curated datasets today.\n
\nPartner with your manager to scope your first pipeline or modeling task to own.\n

Within 3-6 months, you’ll start hitting your stride by:

Delivering your first production-ready pipeline, dataset, or internal data product.
Collaborating with analysts and data scientists on requirements for reusable modeling layers.
Gaining deeper familiarity with Sprout’s data warehouse(s) and orchestration environment—and starting to suggest improvements.
Audit our existing deployment procedures.
Add data sources to our production data warehouse.
Within 12 months, you’ll make this role your own by:
\nTaking technical ownership of a set of pipelines or data products relied on by stakeholders across the business.\n
\nIdentify technical debt and performance bottlenecks within our systems, come up with a plan to improve the code, and get it pushed to production.\n
\nActing as a mentor to newer members of the Data Foundations team while continuing to grow your own expertise.\n
\nHelping shape the team’s roadmap and long-term data foundations strategy.\n

\n\n\n

Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager.

Our Benefits Program

We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes:

\nInsurance and benefit options that are built for both individuals and families\n
\nProgressive policies to support work/life balance, like our flexible paid time off and parental leave program \n
\nHigh-quality and well-maintained equipment—your computer will never prevent you from doing your best\n
\nWellness initiatives to ensure both health and mental well-being of our team\n
\nOngoing education and development opportunities via our Grow@Sprout program and employee-led diversity, equity and inclusion initiatives.\n
\nGrowing corporate social responsibility program that is driven by the involvement and passion of our team members\n
\nBeautiful, convenient and state-of-the-art offices in Chicago’s Loop and downtown Seattle, for those who prefer an office setting\n

Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter.

Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements. In the United States, we have two geographic pay zones. You can confirm the pay zone for your specific location with your recruiter during your interview process. For this role, our current base pay ranges for new hires in each zone are:

\nZone 1 (New York, California, Washington): $162,448 (min), $203,060 (mid), $243,672 (max) USD annually\n
\nZone 2 (All other US states): $147,700 (min), $184,600 (mid), $221,500 (max) USD annually\n

Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. Employees (and their dependents) are covered by medical, dental, vision, basic life, accidental death, and dismemberment insurance, and Modern Health (a wellness benefit). Employees are able to enroll in Sprout’s company’s 401k plan, in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers “Flexible Paid Time Off” and ten paid holidays. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package.

Sprout Social is proud to be an Equal Opportunity Employer and an Affirmative Action Employer. We do not discriminate based on identity- race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Learn more about our commitment to diversity, equity and inclusion in our latest DEI Report.

If you require a reasonable accommodation for any part of the interview process or to submit your application, please email us at accommodations@sproutsocial.com. Include the nature of your request and your preferred contact information. We'll do everything we can to support your success during our recruitment process while upholding your privacy. Please note that only inquiries regarding accommodations will receive a response from this email address; other inquiries will not be addressed (e.g., you send your resume but are not requesting an accommodation).

For more information about our commitment to equal employment opportunity, please click here (1) Equal Opportunity Employment Poster (2) Sprout Social's Affirmative Action Statement (3) Pay Transparency Statement.

Additionally, Sprout Social participates in the E-Verify program in certain locations, as required by law.

#Li-Remote

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Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day.

The Team

The Events team owns Algolia’s customer-facing Events platform, the entry point for sending user interaction data into our system. These events drive improvements in analytics, personalization, and search relevance for thousands of customers. We are continuing to expand and improve this existing system, which means you’ll play a critical role in onboarding to a mature product, helping a newly built team grow in confidence, and shaping the future of this high-volume, real-time data pipeline.

The Role Will Consist Of:

As a Senior Data Engineer, you’ll help scale and evolve the backbone of Algolia’s Events platform. This means:

Designing and maintaining reliable pipelines for ingesting and processing both real-time and batch data from diverse external sources (including Segment, Google Analytics, and direct customer integrations).
Owning and optimizing systems that run at massive scale, ensuring low-latency event delivery and high reliability.
Quickly getting up to speed with an established production system, and helping your teammates do the same.
Partnering with backend, frontend, and product teams to align technical decisions with customer-facing needs.
Contributing to architectural improvements that make our event ingestion platform more robust, efficient, and easy to extend.
Sharing knowledge across the team and mentoring new engineers to help them grow.

You Might Be A Fit If You Have:

Must-Haves

Solid experience with data pipelines and event-driven architectures at scale.
Proficiency in Go or another backend language, with the ability to quickly adapt to new codebases.
Strong knowledge of distributed systems, APIs, and messaging platforms like Pub/Sub.
Hands-on experience with BigQuery or similar data warehouses for analytics.
A track record of collaborating with cross-functional teams and contributing to production-critical systems.

Nice-To-Haves

Familiarity with GCP and Kubernetes in production environments.
Exposure to frontend systems (React, Rails) and how they interact with backend data pipelines.
Experience integrating with customer-facing APIs or analytics connectors.
Background in onboarding to inherited systems and driving re-architecture where needed.

We’Re Looking For Someone Who Can Live Our Values:

GRIT – Problem-solving and perseverance capability in an ever-changing and growing environment
TRUST – Willingness to trust our co-workers and to take ownership
CANDOR – Ability to receive and give constructive feedback.
CARE – Genuine care about other team members, our clients and the decisions we make in the company.
HUMILITY – Aptitude for learning from others, putting ego aside.

Team’S Current Stack

Go backend on GCP and Kubernetes, pipelines built with BigQuery and Pub/Sub, integrating with a React + Rails frontend.

Flexible Workplace Strategy:

Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when.

While we have a global presence with physical offices in Paris, NYC, London, Sydney and Bucharest, we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Please note that positions listed as \"Remote\" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the nature of the role it may be available with either a hybrid-remote or in-office schedule.

About Us:

Algolia prides itself on being a pioneer and market leader offering an AI Search solution that empowers 17,000+ businesses to compose customer experiences at internet scale that predict what their users want with blazing fast search and web browse experience. Algolia powers more than 30 billion search requests a week – four times more than Microsoft Bing, Yahoo, Baidu, Yandex and DuckDuckGo combined.

Algolia is part of a cadre of innovative new companies that are driving the next generation of software development, creating APIs that make developers’ lives easier; solutions that are better than building from scratch and better than having to tweak monolithic SaaS solutions.

In 2021, the company closed $150 million in series D funding and quadrupled its post-money valuation of $2.25 billion. Being well capitalized enables Algolia to continue to invest in its market leading platform, to better serve its thousands of customers–including Under Armor, Petsmart, Stripe, Gymshark, and Walgreens, to name just a few.

Who We'Re Looking For:

We’re looking for talented, passionate people to build the world’s best search & discovery technology. As an ownership-driven company, we seek team members who thrive within an environment based on autonomy and diversity. We're committed to building an inclusive and diverse workplace. We care about each other and the world around us, and embrace talented people regardless of their race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability and socioeconomic background.

READY TO APPLY?
If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

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Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

What we’re looking for:
You’re a skilled, creative, and motivated engineer who loves developing powerful, stable, and intuitive apps – and you’re excited to work with a team of individuals with that same passion. You’ve accumulated years of experience, and you’re excited about taking your mastery of Big Data and Java to a new level. You enjoy challenging projects involving big data sets and are cool under pressure. You’re no stranger to fast-paced environments and agile development methodologies – in fact, you embrace them. With your strong analytical skills, your unwavering commitment to quality, your excellent technical skills, and your collaborative work ethic, you’ll do great things here at American Express.

Purpose of the Role:
Cornerstone is company’s largest Big Data Platform, ideally suited for computationally and/or data intensive processing applications. Whether the data needs to be processed in batch, online, or streaming manner, Cornerstone provides robust capabilities to handle such workloads effectively, in a cost-efficient manner.
A hub of very hardworking Big Data engineers and most exciting & upcoming technologies. Cornerstone platform offers an environment where Engineers are challenged every day to build world class products.
As we embark on the journey to move to public cloud - GCP you will be part of a fast-paced Agile team, design, develop, test, solve & optimize solutions created to simplify access to the Amex’s Big Data Platform. Focus:
Designs, develops, solves problems, debugs, evaluates, modifies, deploys, and documents software and systems that meet the needs of customer-facing applications, business applications, and/or internal end user applications.

Organizational Context:
Member of an engineering or delivery and integration team reporting to a Senior Engineer, Engineering Director.

Responsibilities:
Software Development
Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)
Participate in code reviews and automated testing
Debug basic software components and identify code defects for remediation
Enable the deployment, support, and monitoring of software across test, integration, and production environments
Automate deployments in test or production environments
Automatically scale applications based on demand projections
Architect, design, develop and maintain enterprise capabilities and systems.
Collaborate with team/s in agile environment on creating, evolving, and maintaining engineering excellence principles related to Code, Code reviews, Testing methodologies (Unit, Integration etc.,) and defect management
Developing prototypes using visualization and other techniques to fast-track concepts.
Seeks continuous improvement by considering solutions that make novel use of existing ideas, approaches, technologies, or products.
Works with Senior engineers and product owners to deliver new features and enhance existing features.

Leadership

Demonstrate increased self-reliance to achieve team goals
Influence team members with creative changes and improvements by challenging status quo and demonstrating risk taking

Range Of Impact/Influence:

Accountable for team completing work you’re leading and work you are doing as agreed upon
Accountable to team for delivery of quality work
6+ years of software development experience in a professional environment and/or comparable experience such as:
Familiar with Agile or other rapid application development methods.
Experience with design and coding across one or more platforms and languages as appropriate.
Hands-on expertise with application design, software development and automated testing.
Experience with distributed (multi-tiered) systems, algorithms, and relational databases.
Thorough understanding and hands-on experience in Bigdata technologies.

Minimum Qualifications:

Good understanding of CI/CD processes.
Good understanding of different data models (Relational, Graph, Document etc.,).
Expertise in objected oriented analysis and design.
Understanding and hands on experience of cloud principles and technologies (AWS, GCP, Dockerization, Kubernetes, Dataflow, BigQuery, Bigtable, Cloud SQL, Dataproc).
Opensource contributions will be an added advantage.
Bachelor’s Degree in computer science, computer science engineering, or related experience required; advanced degree preferred.
Recognizes opportunities to adopt innovative technologies to enable business capabilities.
Keeps up to date on current research and technology in the industry.
Recognizes the importance of collaboration to achieve objectives.
Clearly communicates ideas and concepts to others.

High Performance Behaviors:

Finds opportunities within projects and acts on own initiative without being prompted, including making appropriate decisions as vital.
Provides feedback to team members in code reviews.
Drive creative changes & continuous improvements.
Mentors and guides junior team members to success within the team.
Able to understand and use complex data structures and associated components.
Designs, codes, tests, maintains, and documents applications.
Lead reviews of colleagues’ work.
Defines test conditions based on the requirements and specifications provided.

Knowledge/Skills:

Has deep understanding of the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s).
Deep understanding of infrastructure technologies and components.

Minimum Qualifications

Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

*Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Job

Legacy Technology

Primary Location

US-Arizona-Phoenix

Organization

A6382 - AI Enablement & Automation

Schedule

Full-timeJob Band 35Work Location Options Hybrid

Job Posting

Sep 16, 2025, 2:35:06 PM - Sep 24, 2025, 3:59:00 AM

Recruiter

Monika Zutshi

Hiring Manager

Umesh Singh Chauhan","hiringOrganization":{"@type":"Organization","name":"American Express","sameAs":"https://www.americanexpress.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US-Arizona-Phoenix","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Tech Lead","datePosted":"2025-09-17","description":"

Vi tror att tekniken ger oss oanade möjligheter – för att utveckla människor, skapa bättre affärer och bygga hållbara samhällen. Vi letar efter dig som älskar att arbeta tätt tillsammans med kunder och kollegor och vill spela en nyckelroll i att bygga och underhålla skalbara datalösningar som stödjer avancerade analyser och AI-lösningar. Vi letar efter någon som inte bara har teknisk kompetens utan även kan förstå kundernas affärsproblem och omvandla dessa till tekniska lösningar.

\n\n

Det här är Forefront
\nVi – Forefront – är ett verksamhets- och IT-konsultbolag som föddes 2008. Idag är vi över 500 anställda, eller Frontiers som vi hellre kallar oss. Vi har som ambition att bli Sveriges bästa arbetsplats. Det gör vi genom att uppskatta varandras olikheter, ständigt blicka framåt och skapa en organisation som är lika modig som klok. Tillsammans är vi förenade av delade visioner och drivna av större ambitioner. Med kontor och Frontiers över hela Sverige strävar vi efter att få teknik och människa att gå hand i hand.

Vem är du?
Vi söker dig som har en ingenjörsutbildning inom datavetenskap eller motsvarande relevant utbildning, som vill vara med och forma framtidens datahantering. Du är väl insatt i DevOps och har erfarenhet av att arbeta med molnplattformar som GCP eller Azure. Med expertis inom datamodellering, infrastructure as code och ELT/ETL-processer kan du bygga skalbara lösningar för att hantera stora datamängder. Du har vana att driva utveckling i komplexa miljöer och kan leda team och projekt mot gemensamma mål. Du kommunicerar tryggt med både beslutsfattare och tekniska specialister och kan skapa förtroende i kunddialoger. Du har dessutom förmågan att översätta affärsproblem till tekniska lösningar och har erfarenhet av agil utveckling, vilket gör att du effektivt kan arbeta i en dynamisk och snabbföränderlig miljö. Möjlighet till hybridarbete finns.

Kvalifikationer
Vi tror att du har erfarenhet av:

Molnplattformar såsom GCP och/eller Azure.
Python och SQL.
Molnbaserade lösningar och on-prem system är meriterande.
Meriterande är också erfarenhet av AI-lösningar på moderna data plattformar samt förståelse för machine learning.
Vad kan du förvänta dig?
Spännande uppgifter som Senior Data Engineer - Tech Lead hos Forefront:
Designa, utveckla och underhålla robusta och högpresterande dataplattformar i molnmiljöer.
Implementera och optimera ETL-processer för att säkerställa högkvalitativ och ren data.
Arbeta med stora datamängder och molnbaserade lösningar för att stödja avancerade analytiska applikationer.
Axla rollen som tech lead, där du vägleder teamet tekniskt och säkerställer att lösningarna skapar affärsvärde

\n \n\n\n

Vi Lovar Dig!

Sveriges härligaste kollegor
Kompetensutveckling
En innovativ arbetsmiljö där du får arbeta med den senaste teknologin inom AI och data.
Möjlighet att påverka och skapa värde för kunder genom att omvandla deras affärsproblem till tekniska lösningar.
Flexibelt arbete och en dynamisk företagskultur där personlig och professionell utveckling står i fokus.

\n","hiringOrganization":{"@type":"Organization","name":"Forefront Consulting","sameAs":"https://www.forefront.se/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Stockholm","addressCountry":"Sweden","addressRegion":"Europe"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Senior Data Engineer/Ben","datePosted":"2025-09-17","description":"

This is a remote position.

Data Pipeline Development: Builds understanding of the data needs of the client and designs, constructs, installs, tests, and maintains highly scalable data management systems using Microsoft Fabric suite (Azure Data Factory, Azure Synapse Analytics, etc.) and other relevant technologies that can efficiently and effectively meet those needs
Perform data availability assessment and implement robust processes to ensure the timely identification, collection, and validation of relevant data sets required for the client
ETL Processes: Develops ETL processes to extract data from various sources, transform the data according to business rules, and load it into a centralized data repository, ensuring data accuracy and availability.
Data Lake: Implements and manages data storage solutions using Azure OneLake and ensures optimal data storage architecture for ease of access and analysis.
Data Integration: Integrates data from various business systems into a unified data platform, enabling a consolidated view of information across the organization.
Data Quality and Governance: Ensures data accuracy and quality by implementing data governance and quality control measures, including data validation and cleansing.
Performance Optimisation: Monitors, tunes, and reports on the performance of data pipelines and databases to ensure they meet the functional and performance requirements.
Security and Compliance: Implements security measures to protect data integrity and compliance with data protection regulations and company policies.

\n\n
\n

Requirements

\n\n Skills:
\n\n\n
\n\n

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake or Apache Delta Lake
Apache Spark or Databricks,
Knowledge of implementing Apache Spark using pyspark
Knowledge of working Azure BLOB Storage
ETL Development
SQL and Data Modeling
Data Quality Management
Security practices
Performance tuning
Testing and troubleshooting
Clear notes and documentation

\n\n
\n
","hiringOrganization":{"@type":"Organization","name":"Tkxel","sameAs":"https://tkxel.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

Company Description

About CyberArk:
\nCyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook.

Job Description

Join our Data Engineering group, where we collaborate with analytics teams across Sales, Marketing, HR, Security, Operations, and Finance to tackle complex business challenges that directly impact CyberArk’s strategic metrics. We leverage the latest innovations in Cloud and SaaS technologies to deliver data and AI-driven solutions that improve business outcomes.

We’re looking for a Senior Data Engineer who brings deep expertise in data engineering, data modelling, cloud infrastructure, and DevOps. In this role, you’ll design and build scalable, reliable data platforms and frameworks that power our analytics and decision-making capabilities. You’ll work closely with cross-functional teams to deliver high-impact solutions that support our business objectives.

Here'S What You'Ll Be Doing:

Build and maintain high-performance data pipelines for our data lake and warehouse environments, optimizing for scalability, cost-efficiency, and trust.
Automate and manage infrastructure using DevOps best practices to ensure reliability, performance, and observability.
Translate business requirements into robust technical solutions through close collaboration with stakeholders.
Implement data quality and governance processes to ensure accuracy, consistency, and compliance.
Contribute to the deployment of large-scale LLM frameworks, pushing Snowflake’s advanced capabilities to their limits.

#Li-Ha1

#Li-Hybrid

Qualifications

Bachelor’s degree in computer science, Engineering, or a related field.
7+ years of experience in data engineering or platform engineering, with a strong focus on building and maintaining data pipelines.
Advanced proficiency in SQL and Python, including object-oriented programming, data processing with pandas and Spark, and API integration.
Strong knowledge of data modelling and warehouse design (dimensions, facts, SCDs, snapshots).
Hands-on experience with dbt and Snowflake, including advanced features like Cortex (AI), Python development, and analytics.
Proven experience in DevOps or Systems Engineering, with expertise in infrastructure as code and CI/CD pipelines.
Experience with cloud platforms such as GCP or AWS is a plus.
ML Ops experience is an advantage.
Strong problem-solving skills, with the ability to work independently, document processes, and communicate complex technical concepts clearly.
Demonstrated ability to apply an AI-first approach to working with data.

Additional Information

CyberArk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

We are unable to sponsor or take over sponsorship of employment Visa at this time.

The salary range for this position is $109,000 – $160,000/year, plus commissions or discretionary bonus, which will be based on the employee’s performance. Base pay may also vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits.
\n

","hiringOrganization":{"@type":"Organization","name":"Cyberark","sameAs":"https://www.cyberark.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Newton, Massachusetts, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

Location: Leeds

About Us

We are Data Services, our mission is to unlock the value of data by delivering high-quality, reliable, and secure data services that are accessible, understandable, and actionable. We continuously evolve our offerings, leveraging modern cloud-based technologies, and fostering strong partnerships to help our colleagues in the Bank navigate the complexities of a data-driven world and achieve their strategic objectives!

Job Description

Are you passionate about building scalable, cloud-native data solutions that drive real-world impact? We’re looking for a Senior Data Engineer to join our Data Engineering team and help shape the Bank’s strategic cloud-first data platform. You’ll design and deliver robust, scalable data solutions that support the Bank’s core responsibilities around monetary policy, financial stability, and regulatory supervision.

Flexible Working Options

This role is open to flexible working patterns, which may include:

Flexible start and end times
Ability to adapt your calendar to fit in the school run, gym, or appointments
50% in-office attendance spread across the month
Compressed hours (subject to approval and team policy)
Working from abroad (subject to approval and team policy)

\n\n

Opportunities In Leeds

We’re excited to be growing our presence in Leeds, a city we’ve been connected to for nearly 200 years! Our modern, accessible office in the City Centre offers a supportive, flexible working environment. The majority of roles, including this one, are now available in Leeds, giving you the chance to build a meaningful career outside of London while contributing to our mission from a dynamic and growing location. You’ll work collaboratively with London-based colleagues in a hybrid model, with regular opportunities to travel into the London office to meet and connect together in person.

\n\n\n

Want to learn more? Discover what makes our Leeds office such a dynamic place to work by visiting our Leeds page for more details.

\n\n

A Day in the Role

Your day begins with a team stand-up — a quick check-in to share updates on sprint tasks, surface any blockers, and align on priorities. From there, you’ll move into hands-on engineering: designing and building data pipelines using Databricks, Python, and Spark, reviewing documentation, and contributing to code reviews.

You’ll also collaborate with stakeholders such as data scientists, analysts, and delivery managers — gathering technical requirements, providing updates, or helping clarify data-related queries. Support duties are shared across the team, and you’ll take turns running daily checks and resolving any issues to keep our data infrastructure running smoothly.

You’ll also be part of Agile ceremonies like backlog refinements and sprint plannings, which help shape the team’s priorities and keep delivery on track. Mentoring is a shared responsibility, and as a senior engineer, you’ll support others when needed — offering guidance, sharing knowledge, and contributing to a collaborative team culture.

And finally, there’s space to grow. Whether it’s exploring new tools, deepening your cloud expertise, or attending internal workshops, upskilling is part of the journey — not just a perk.

Role Requirements

This role is ideal for someone who enjoys solving complex data challenges and wants to make a meaningful impact through engineering excellence. If you’re someone who thrives in collaborative environments, enjoys mentoring and learning from others, and is excited by the idea of shaping modern data infrastructure - this could be the perfect next step in your career.

Minimum Criteria

Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.
Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing.
Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps).
Strong understanding of data architecture principles and cloud-native design patterns.

Essential Criteria

Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy.
Proficiency in Linux/Unix environments and shell scripting.
Deep understanding of source control, testing strategies, and agile development practices.
Self-motivated with a strategic mindset and a passion for driving innovation in data engineering.

Desirable Criteria

Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives.
Familiarity with:
Apache Airflow
Data modelling and metadata management
Experience influencing enterprise data strategy and contributing to architectural governance.

How This Role Fits into the Wider Bank

This role sits within the Data Services team, part of the Bank’s Technology Directorate. As a Senior Data Engineer, you’ll contribute to the Bank’s strategic objectives around monetary policy, financial stability, and regulatory supervision. Your work will help modernize legacy systems, enhance data accessibility, and empower colleagues across the Bank to make data-driven decisions with confidence.

Further Info

We’re not looking for a 100% match across every skill listed. If you bring strong core experience and are excited to grow into the rest, we’d love to hear from you. We’ll support you in developing new skills and filling any gaps. Diverse perspectives and backgrounds help us build better solutions, and we welcome applicants who share our passion for learning and collaboration.

\n\n\n\n \n\n

Our Approach to Inclusion

The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we need a workforce that reflects the society we serve.

At the Bank of England, we want all colleagues to feel valued and respected, so we're working hard to build an inclusive culture which supports people from all backgrounds and communities to be at their best at work. We celebrate all forms of diversity, including (but not limited to) age, disability, ethnicity, gender, gender identity, race, religion, sexual orientation and socioeconomic status. We believe that it’s by drawing on different perspectives and experiences that we’ll continue to make the best decisions for the public.

We welcome applications from individuals who work flexibly, including job shares and part time working patterns. We've also partnered with external organisations to support us in making adjustments for candidates and employees in the recruitment process where they're needed.

For most roles where work can be carried out at home, we aim for colleagues to spend half of their time in the office, with a minimum of 40% per month. Subject to that minimum requirement, individuals and managers should work together to find what works best for them, their team and stakeholders.

Finally, we're proud to be a member of the Disability Confident Scheme. If you wish to apply under this scheme, you should check the box in the ‘Candidate Personal Information’ under the ‘Disability Confident Scheme’ section of the application.

Salary and Benefits Information

We encourage flexible working, part time working and job share arrangements. Part time salary and benefits will be on a pro-rated basis as appropriate.

We offer a salary as follows:
Leeds circa £55,280 - £62,190
In addition, we also offer a comprehensive benefits package as detailed below:
Currently a non-contributory, career average pension giving you a guaranteed retirement benefit of 1/80th of your annual salary for every year worked. There is the option to increase your pension (to 1/65th) or decrease (to 1/105th) in exchange for salary through our flexible benefits programme each year. The Bank has the discretion to vary standard accrual rates and dial up and dial down rates at any time and to withdraw dial up and dial down options at any time.
A discretionary performance award based on a current award pool.
An 8% benefits allowance with the option to take as salary or purchase a wide range of flexible benefits.
26 days’ annual leave with option to buy up to 12 additional days through flexible benefits.
Private medical insurance and income protection.

\n\n\n\n

National Security Vetting Process

Employment in this role will be subject to the National Security Vetting clearance process (and typically can take between 6 to 12 weeks post offer) and the passing of additional Bank security checks in accordance with the Bank policy. Further information regarding the vetting and security clearance requirements for the role will be provided to the successful applicant, and information about how the Bank processes personal data for these purposes, is set out in the Bank's Privacy Notice.

The Bank of England welcomes applications from all candidates, but as a UK Visas and Immigration (UKVI) approved sponsor, we have a responsibility to comply with the Immigration Rules and guidance. As such, our ability to employ individuals who require sponsorship for immigration purposes is limited. The Bank cannot guarantee that you and / or the role you are applying for will be eligible for sponsorship and that any application made to UKVI will be successful. Eligibility will therefore be considered on a case by case basis.

The Application Process

Important: Please ensure that you complete the ‘work history’ section and answer ALL the application questions fully. All candidate applications are anonymised to ensure that our hiring managers will not be able to see your personal information, including your CV, when reviewing your application details at the screening stage. It’s therefore really important that you fill out the work history and application form questions, as your answers will form a critical part of the initial selection process.

This role closes on 8 October 2025.

The assessment process will comprise of two interview stages.

Please apply online, ensuring that you complete your work history and answer ALL the application questions fully and in detail as your application will not be considered if all mandatory questions are not fully completed.

\n\n\n We are the UK's central bank - and we are a bank like no other; known by our peers for our world-leading thinking on policy and strategy.\n\n\n \n\n\n Our mission is to promote the good of the people of the UK by maintaining monetary and financial stability. We seek to keep prices stable and people's money safe. We know our work matters to people, to families, up and down the UK. We are driven by curiosity and the desire to do important, challenging work. \n\n\n \n\n\n It takes a great team to run the Bank of England. We rely on each other to play our part. We benefit from a collaborative culture and long-established flexible ways of working, supporting our colleagues balance their work and personal lives. We strive to be a place where people feel they belong and have equal access to opportunities, because different perspectives helps us make the best decisions for the public.\n\n\n \n\n\n There's much to gain from working with us - from career defining work at the heart of the UK economy, being part of a fantastic team, and a rewarding compensation package. \n\n\n \n\nJoin us and find a bank like no other. Together, we can make a difference.\n\n\n
\n\n\n\n The Bank of England will use and protect the information you provide when you apply for a role with us, in line with our obligations under data protection law. This is so we can assess your suitability for the role and administer your application. If you’re successful we’ll use it to offer you a position and onboard you to join the Bank.\n \n\n
\n\n\n If you would like more details about how your information will be used and your information rights, please visit our recruitment privacy notice","hiringOrganization":{"@type":"Organization","name":"Bank of England","sameAs":"https://www.bankofengland.co.uk/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Leeds, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

About the Team You will be joining the newly formed AI, Data & Analytics team, primarily responsible as a Data Engineer leading various projects within the new Data Platform team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on “enhanced intelligence”. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team.

Key Responsibilities

Design, develop, and maintain scalable data pipelines to support diverse analytics and machine learning needs.
Optimize and manage data architectures for reliability, scalability, and performance.
Implement and support data integration solutions from our data partners, including ETL/ELT processes, ensuring seamless data flow across platforms.
Collaborate with Data Scientists, Analysts, and Product Teams to define and support data requirements.
Manage and maintain data platforms such as Oracle, Snowflake, and/or Databricks, ensuring high availability and performance, whilst optimizing for cost.
Ensure data security and compliance with company policies and relevant regulations.
Monitor and troubleshoot data systems to identify and resolve performance issues.
Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
Analyze large datasets to identify patterns, trends, and insights that can inform business decisions.
Work with 3rd party providers of Data and Data Platform products to evaluate and implement solutions achieving Investcloud’s business objectives.
Lead a small team, as part of the global team, based in India and working closely with co-located data scientists as well as the broader global team.

\n\n\n\n\n\n\n\n\n\n\n

Required Skills

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Minimum of 5 years of professional experience in data engineering or a related role.
Proficiency in database technologies, including Oracle and PostgreSQL.
Hands-on experience with Snowflake and/or Databricks, with a solid understanding of their ecosystems.
Expertise in programming languages such as Python or SQL.
Strong knowledge of ETL/ELT tools and data integration frameworks.
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with containerization and CI/CD tools (e.g., Docker, Git).
Excellent problem-solving skills and the ability to handle complex datasets.
Outstanding communication skills to collaborate with technical and non-technical stakeholders globally.
Knowledge of data preprocessing, feature engineering, and model evaluation metrics
Excellent proficiency in English
Ability to work in a fast-paced environment across multiple projects simultaneously
Ability to lead a small team ensuring a highly productive, collaborative and positive environment
Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Preferred Skills

Experience with real-time data processing and streaming platforms (e.g., Apache Kafka).
Knowledge of data warehousing and data lake architectures.
Familiarity with governance frameworks for data management and security.
Knowledge of Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g. Langchain)

\n\n\n\n

What do we offer

Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience.

Location and Travel The ideal candidate will be expected to work from the office (with some flexibility). Occasional travel may be required.

","hiringOrganization":{"@type":"Organization","name":"InvestCloud","sameAs":"https://www.investcloud.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Karnataka, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"(Senior) Data Engineer - Enpal Energy (f/m/x)","datePosted":"2025-09-17","description":"

Company Description

At Enpal, we’re building the largest renewable energy community in Europe.

Job Description

Collaborate closely with Data Scientists and MLOps Engineers to build forecasting and analytics products for the energy market.
Design, implement, and maintain scalable ETL/ELT pipelines using Airflow, Python, and SQL, with robust observability and alerting.
Build and maintain integrations for internal and external data sources.
Explore, clean, structure, and aggregate datasets for high-quality downstream use cases (Analytics/ML).
Administer databases and data warehouses, managing changes through CI/CD.
Maintain and extend APIs to ensure reliable and performant data delivery.
Establish and maintain CI/CD pipelines in Azure DevOps.
Continuously improve the data architecture, adopt new technologies, and stay aligned with the latest industry trends.

Qualifications

3+ years of professional experience in data engineering (including real-time data processing).
Expertise in Python and SQL.
Hands-on experience with Airflow, Snowflake, and database/DWH administration.
Solid knowledge of Cloud Infrastructure (preferably Azure; GCP or AWS also acceptable) and IaC (Terraform or similar).
Basic DevOps skills, including CI/CD setup in Azure DevOps.
Holistic mindset on data products: motivated to deliver clean, structured, and scalable data pipelines for analytics and ML.

Additional Information

Work at Germany’s first green unicorn and actively shape the solar energy transition with us.
The sun shines everywhere – and so do we. At Enpal, you’ll join a highly motivated and diverse team with over 65 nationalities working toward one mission.
Office or home? You choose. We offer a hybrid work model – even after the pandemic – so you can balance focus and flexibility.
Yes, we’re a startup cliché – and proud of it. From ping-pong and yoga corners to a rooftop terrace and fully stocked fridges – our Berlin HQ in Friedrichshain has everything you need to thrive.
Your Enpal kick-start: On your onboarding day, you’ll meet the team, get to know the company – and have a welcome session with our founder, Mario.
Stay in the loop: From company updates in our monthly All-Hands to solar deep dives in our Lunch & Learns – we make sure everyone understands the bigger picture.
The energy transition is a team sport. Expect strong team spirit, ownership – and unforgettable team events.
No progress without feedback. We embrace a strong feedback culture and believe your input drives our collective growth.

At Enpal, we stand for a safe and inclusive workplace – and take a clear stance against any form of discrimination or harassment.

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