{"@context":"https://schema.org","@type":"ItemList","name":"Data Engineer Jobs: Find Your Next Career Opportunity","description":"Explore Data Engineer job opportunities in leading companies. Apply now and kickstart your career in data engineering. Find the latest Data Engineer roles here.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Data Engineer, Global YouTube Marketing","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor's degree or equivalent practical experience.
3 years of experience coding in one or more programming languages.
3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (e.g., DataFlow, Spark, etc.).

Preferred Qualifications:

3 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
3 years of experience developing project plans and delivering projects on time within budget and scope.
3 years of experience partnering with stakeholders (e.g., users, partners, customers), and managing stakeholders/customers.
Experience with Machine Learning for production workflows.
Understanding of incrementality measurement methodologies and frameworks.

About The Job

As a Data Engineer on the Global YouTube Marketing team, you will contribute to shaping our marketing strategy by building and maintaining reliable data pipelines. You will work within a team of talented engineers to develop data solutions and contribute to insightful dashboards that support our marketing efforts. In this role, you will help enable the marketing team to make data-informed decisions to optimize campaigns and understand the impact of marketing initiatives.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

Design and build data processing systems with a particular emphasis on security, compliance, scalability, efficiency, reliability, and portability.
Create or consult in creating data visualizations using Business Intelligence (BI) tools (e.g., Datastudio, Tableau, etc.).
Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation of data and for use of data in machine learning training/models.
Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training.
Collaborate with cross-functional teams (e.g., Marketing, Data Science, Engineering, and Analytics) to understand data requirements and deliver impactful data solutions.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, CDMX, Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Azure Data Engineer","datePosted":"2025-09-23","description":"

At WTW, we are a leading global advisory, broking, and solutions company. We work with clients across a wide range of industries, helping them manage risk, optimise benefits, and improve performance. As a Fabric Data Engineer, you will play a key role in leveraging Microsoft Fabric, Azure, and Python to design and build advanced data solutions in the insurance domain.

Location: London, UK
Role: Hybrid Workstyle (Full-time)

Role Overview:

As a Fabric Data Engineer at WTW, you will take ownership of developing and optimising data pipelines, workflows, and ETL processes. You will work with cutting-edge technologies to ensure that data is efficiently processed, stored, and made accessible for analysis. This role is a key part of our data engineering team and requires specific expertise in Microsoft Fabric, Azure, and Python.

Key Responsibilities:

Fabric or Azure Data Engineer (Non-Negotiable):

Lead the design and development of scalable data pipelines and ETL processes using Microsoft Fabric or Azure technologies.
Manage and optimise notebooks, pipelines, and workflows to enhance the performance and efficiency of our data architecture.

Data Pipeline Development & Etl:

Build and maintain high-quality ETL pipelines to clean, transform, and enrich data from various sources.Ensure that pipelines are automated, scalable, and fault-tolerant to accommodate large volumes of data.Experience with Notebooks, Pipelines, and Workflows:
Utilise Notebooks (e.g., Jupyter, Databricks) for data exploration, analysis, and reporting.Design and optimise data workflows to streamline key processing tasks, enhancing operational efficiency.API Integration & Data Ingestion:
Integrate external and internal APIs to ingest data into our systems, ensuring smooth and consistent data integration.Automate the API data ingestion processes to enhance data consistency and quality.

Ai Experience (Project-Based):

Contribute to projects involving AI, including integrating generative AI or machine learning models within our data workflows.
Apply AI technologies to improve data processing and provide deeper insights.

Sdlc Awareness:

Adhere to Software Development Life Cycle (SDLC) best practices, including version control, testing, and continuous integration.
Collaborate with the team to ensure code quality, review processes, and deployment practices.

Collaboration & Communication:

Work closely with cross-functional teams and business stakeholders to understand and meet data requirements.
Effectively communicate complex technical solutions to both technical and non-technical teams, ensuring alignment with business goals.

Required Qualifications:

Experience:

A minimum of 2 years of hands-on experience working as a Data Engineer or Fabric Data Engineer, with expertise in Microsoft Fabric, Azure, and Python.
Proven experience in designing and implementing ETL pipelines, managing notebooks, and optimising data workflows.
Solid experience working with API integration and data ingestion from various sources.

Technical Skills:

Proficiency in Python for building data pipelines, automation, and data manipulation.
Expertise in Azure cloud services and Microsoft Fabric.
Knowledge of ETL processes, data modelling, and data integration techniques.
Understanding of AI technologies and experience working on AI-driven projects (advantageous).
Familiarity with Power Automate for automating business processes (optional).

Soft Skills:

Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Excellent problem-solving abilities, with a focus on data quality and continuous improvement.Self-motivated and organised, with the ability to manage time effectively and prioritise tasks.

Preferred Qualifications:

Industry Experience:

Experience in the insurance domain or a strong understanding of industry-specific data requirements would be highly beneficial.
Experience with Reporting & Data Visualisation:
While not mandatory, familiarity with reporting tools or data visualisation (e.g., Power BI) is advantageous.

Why Join Wtw?

Make an Impact: Work on high-profile data engineering projects that shape the future of the insurance sector.
Innovation: Join a forward-thinking company that uses cutting-edge technologies, including AI, Azure, and Microsoft Fabric.
Career Development: Take the next step in your career and gain exposure to exciting data engineering challenges.
Global Reach: Collaborate with a diverse, global team on projects that span multiple industries.

At WTW, we believe difference makes us stronger. We want our workforce to reflect the diverse and varied markets we operate in and to foster a culture of inclusivity where all colleagues feel welcome, valued, and empowered to bring their whole selves to work every day. We are an equal opportunities employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

","hiringOrganization":{"@type":"Organization","name":"WTW","sameAs":"https://www.wtwco.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, London, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Data Engineer GCP - Sector Bancario","datePosted":"2025-09-23","description":"

DescripcióN De La Empresa

Devoteam es una consultora europea líder enfocada en estrategia digital, plataformas tecnológicas, ciberseguridad y transformación empresarial a través de la tecnología. Centrada en 6 áreas de especialización, abordamos los desafíos estratégicos de nuestros clientes: Digital Business & Products, Data-driven Intelligence, Distributed Cloud, Business Automation, Ciberseguridad y la Sostenibilidad conseguida por la Digitalización.

La Tecnología está en nuestro ADN y creemos en ella como una palanca capaz de impulsar el cambio para mejorar, manteniendo un equilibrio que nos permite ofrecer a nuestros clientes herramientas tecnológicas de primer nivel pero siempre con la cercanía y profesionalidad de un equipo que actúa como guía durante el camino.

Nuestros 25 años de experiencia nos convierten en una consultora innovadora, consolidada y madura que permite el desarrollo de nuestras 10000 personas , certificando continuamente a nuestros consultores en las últimas tecnologías y contando con expertos en: Cloud, BI, Data Analytics, Excelencia en Procesos de Negocio, Gestión de la Relación con clientes, Ciberseguridad, Marketing Digital, Machine Learning, Ingeniería y desarrollo del Software. Devoteam ha sido premiado como Partner del año 2021 de los 5 líderes de la nube: AWS, Google Cloud, Microsoft, Salesforce y ServiceNow.

#TecnologíAcreativaparaunmejorcambio

DescripcióN Del Empleo

Responsabilidades:

Desarrollo y mantenimiento de modelos de datos complejos en BigQuery.
Diseño y optimización de consultas SQL sobre grandes volúmenes de datos.
Trabajo con tablas de hechos y estructuras analíticas orientadas a negocio.
Colaboración directa con el equipo técnico y funcional para entender requerimientos y traducirlos en soluciones eficientes.
Capacidad para tomar decisiones técnicas de forma autónoma y avanzar sin supervisión constante.

Requisitos:

Experiencia demostrable (mínimo 4-5 años) en proyectos de ingeniería de datos.
Dominio avanzado de SQL, especialmente en entornos de modelado de datos.
Experiencia sólida en BigQuery y ecosistema Google Cloud.
Conocimiento profundo de modelado dimensional (tablas de hechos, dimensiones, etc.).
Perfil autónomo, resolutivo y con capacidad para liderar tareas técnicas.

Deseable:

Experiencia previa en factorías de datos o entornos similares.
Conocimiento de herramientas de orquestación (Airflow, dbt, etc.).
Capacidad de comunicación con stakeholders técnicos y de negocio.

Condiciones:

Banda salarial acorde experiencia (Fijo + variable)
Retribución flexible (Plus transporte, guardería, seguro médico, restaurante...)
Beneficios sociales (Fisioterapeuta y clases de inglés - gratuito)
Plan de carrera (Acceso a formaciones/certificaciones y evaluaciones anuales)
Remoto

InformacióN Adicional

","hiringOrganization":{"@type":"Organization","name":"Devoteam","sameAs":"https://www.devoteam.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Madrid, MD, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Staff Data Engineer","datePosted":"2025-09-23","description":"\n

About Us
At UniSuper, we’re committed to delivering great retirement outcomes for our members. As one of Australia’s largest superannuation funds, we’re proud of our inclusive, high-performing culture and our focus on innovation and excellence. Our Data Office is at the heart of our digital transformation, enabling strategic decision-making and member value through data-driven insights.

The Role
Are you ready to shape the future of data at UniSuper? As a Staff Data Engineer, you’ll be a senior technical leader within our Data Engineering team, responsible for delivering enterprise-scale data solutions that underpin our strategic objectives. You’ll play a pivotal role in enabling analytics, ML/AI, and operational data pipelines, while championing engineering best practices and mentoring other data engineers.

You Will:

Provide technical leadership across multiple portfolio projects, ensuring data engineering solutions align with business outcomes and architectural standards.
Be hands-on in designing, developing, and delivering scalable, secure, and high-performance data pipelines and architectures (batch and real-time) using Azure Databricks, PySpark, DBT, and Fivetran.
Drive platform evolution by introducing innovative solutions, frameworks, and accelerators that improve delivery speed, quality, and cost efficiency.
Champion best practices in data engineering, including CI/CD, infrastructure-as-code (Terraform), data quality, and governance.
Collaborate with cross-functional teams (Data Governance, Risk, Data Science, Cloud Infrastructure, and Solution Architecture) to deliver integrated, compliant, and business-focused data solutions.
Mentor and coach senior and mid-level engineers, fostering a culture of technical excellence, continuous learning, and knowledge sharing.
Lead complex problem-solving for performance optimisation, scalability, and reliability of data pipelines and platform components.
Ensure alignment of data engineering initiatives with UniSuper’s Enterprise Data Platform strategy and contribute to long-term architectural roadmaps.
Represent Data Engineering in portfolio planning and delivery forums, providing expert advice on data architecture, design patterns, and delivery approaches.

About You
You are a seasoned data engineering professional with a proven track record of delivering enterprise-grade data solutions and leading technical teams in complex environments. You bring:

10+ years of experience in data engineering, with at least 2+ years in a senior or staff-level leadership role.
Deep expertise in Azure cloud services, Databricks, Delta Lake, and Medallion architecture.
Strong proficiency in PySpark, DBT, and modern ETL/ELT tools (e.g., Fivetran, Azure Data Factory).
Demonstrated experience in real-time and batch data processing, streaming technologies (e.g., Kafka), and data integration from diverse sources.
Advanced knowledge of infrastructure automation (Terraform) and CI/CD pipelines using Azure DevOps or similar tools.
Strong understanding of data governance, security, and compliance in cloud environments.
Ability to lead by example, being hands-on in designing, developing, and delivering high-quality data solutions while guiding others.
Proven ability to influence and guide technical direction across multiple projects and stakeholders, balancing innovation with business priorities.
Exceptional problem-solving skills, with the ability to troubleshoot complex data and infrastructure issues.
A passion for mentoring and developing talent, fostering a collaborative and high-performing engineering culture.
Excellent communication skills to engage with technical and non-technical stakeholders at all levels.

Why UniSuper?
We offer a supportive and inclusive environment where you can thrive and make a real impact. Enjoy a competitive salary, generous superannuation, flexible working arrangements, and a range of benefits designed to support your wellbeing and professional growth. At UniSuper, we value diversity and encourage applications from all backgrounds. Even if you don’t meet every requirement, we’d love to hear from you.

","hiringOrganization":{"@type":"Organization","name":"UniSuper","sameAs":"https://www.unisuper.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne, Victoria, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Senior Data Engineer – Microsoft Fabric & Azure","datePosted":"2025-09-23","description":"

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

Key Responsibilities:

Lead the design, development, and deployment of scalable data pipelines and data warehouses using Microsoft Fabric components such as Data Factory, Synapse Analytics, and OneLake.
Implement and optimize ETL/ELT workflows integrating diverse data sources including cloud platforms (Azure, AWS), relational databases, and flat files.
Build and maintain semantic data models and dashboards using Power BI and other Fabric tools, ensuring high performance and data accuracy.
Develop and manage medallion architecture following industry best practices for data lakes within Microsoft Fabric.
Ensure rigorous data governance, security, and compliance leveraging Microsoft Purview and native security features.
Monitor, troubleshoot, and fine-tune data pipelines and platform performance, proactively resolving issues and ensuring reliability.
Collaborate closely with data scientists, analysts, and business stakeholders to translate business needs into technical solutions.
Integrate DevOps practices including CI/CD pipelines, version control, and automation using scripting languages such as Python or PowerShell.
Provide mentorship and knowledge transfer on Microsoft Fabric technologies and best practices.
Stay current with Microsoft Fabric updates and emerging data engineering trends.

Additional Responsibilities:

Integration API Monitoring and Incident Escalation: Implement robust monitoring of integration APIs and timely escalation of incidents.
Workspace and Resource Management: Create and manage Microsoft Fabric workspaces; manage Power BI datasets and data flows.
User Administration: Assign roles and permissions; manage user access and licenses to ensure secure and efficient operations.
Basic Reporting: Create basic reports and dashboards; share reports across the organization.
Troubleshooting Connectivity: Quickly identify and resolve connectivity issues impacting data workflows.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Qualifications

Minimum 5 years of progressive experience in data engineering, with at least 3 years working on Microsoft Fabric and Azure data services.
In-depth knowledge of Microsoft Fabric, an integrated, end-to-end analytics platform built on a SaaS foundation, combining Power BI, Azure Synapse Analytics, Azure Data Factory, and OneLake into a unified environment.
Experience with Fabric’s data engineering capabilities such as Spark-based transformations, lakehouse architecture using Delta Lake format, and integrated orchestration with Data Factory.
Proven ability to design, build, and manage cloud-based, scalable data pipelines and storage solutions using Microsoft Fabric and Azure Data Engineering Suite.
Familiarity with Power BI workspace management, datasets, dataflows, user roles, and report sharing within Fabric.
Strong programming skills in SQL and Python.
Hands-on knowledge of data governance, audit logging, and compliance frameworks powered by Microsoft Purview integration in Fabric.
Experience with monitoring tools, incident escalation, and managing API integration within a cloud data ecosystem.
Understanding of Azure Synapse Analytics offerings including Data Warehousing, Data Science, Real-Time Analytics, and how they integrate with Microsoft Fabric.
Excellent communication and problem-solving skills.

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!
\n

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.

","hiringOrganization":{"@type":"Organization","name":"Ollion","sameAs":"https://ollion.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, MH, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Data Engineer, Driver Team","datePosted":"2025-09-23","description":"

Applications for this position will be accepted until October 6, 2025. Lyft reserves the right to close the application process early or extend the deadline at its discretion.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, with public transportation, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes. We achieve this by processing millions of rides, taking into account the latest traffic information and analyzing the preferences of drivers.The Driver team sits at the heart of this mission, creating tools and insights that power safe, efficient, and rewarding driver experiences.

To strengthen our efforts, we are hiring a Data Engineer to help us make data driven decisions. Data Engineering is at the heart of Lyft’s products and decision-making. As a Data Engineer at Lyft, you will be tasked with developing robust data infrastructure—encompassing data transport, collection, and storage—and providing services that enable our leadership to make informed, risk-reducing decisions.

You will help architect, build, and launch scalable data pipelines to support Lyft’s growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others.

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that delight millions of passengers and drivers.

Responsibilities:

Build and maintain reliable, scalable data pipelines supporting driver insights and trip routing
Improve data models and schema design to meet evolving engineering and business needs
Monitor and improve data quality, consistency, and performance
Support internal users with self-serve ETL tools and real-time analytics pipelines
Collaborate cross-functionally with product, engineering, and data science teams

Experience:

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
2+ years of experience in data engineering, ideally with large-scale distributed systems
Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
Solid understanding of ETL processes, workflow orchestration, and data warehousing
A collaborative mindset—you’re comfortable working across teams to solve real-world problems

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is $108,000 - $135,000 CAD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

","hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://www.lyft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Field Data Engineer","datePosted":"2025-09-23","description":"

Company Description

SGS Australia is a leading provider of Testing, Inspection, and Certification services, supporting multiple industries across the country with trusted expertise and technical excellence. Backed by SGS’s global legacy of over 140 years, we operate one of the largest networks of accredited laboratories and field facilities in Australia, with a network of more than 50 offices and laboratories and over 1,400 employees across Australia. We are accredited by NATA and ISO 9001, ensuring our services meet both Australian and international standards.

Job Description

Join SGS as a Field Data Engineer, supporting our well testing operations across Australia. Based in Moomba, WA, QLD, NT, or SA, this is a fly-in, fly-out role (28/26 roster), with occasional workshop duties at home to assist with job preparation and equipment maintenance. This role is hands-on in the field, not just office-based, providing real-time data support to Well Test teams.

What You’Ll Do:

Set up, operate, and deliver accurate data acquisition to Well Test Supervisors and clients.
Maintain and troubleshoot data acquisition equipment (Fekete, SCAN, Fardux, WDSS, EDGE).
Assist Well Test personnel when necessary, supporting rig-up operations.
Ensure job programs are well understood, equipment is prepared, and operations run safely.
Accurately record and report test data in line with company and regulatory standards.
Support onsite operations, safety programs, and continuous improvement initiatives.
Participate in training, performance reviews, and contribute to team development.

Qualifications

What We’Re Looking For:

Strong knowledge of data acquisition systems (Fekete/SCAN/Fardux/WDSS/EDGE).
Basic understanding of well testing and cased hole operations.
Ability to interpret P&IDs and rig up sensors correctly.
Strong fault-finding and troubleshooting skills.
High computer literacy (MS Office, reporting systems, electronic product servicing).
Experience with GAGE/GALIP systems and electronic memory tools (GAGIS/CALEPUS/E-line tools) is beneficial but not essential.
Excellent attention to detail and ability to proofread reports.
First Aid Certificate.
Professional communication skills, especially with clients on site.
Availability to travel interstate

At SGS, you’ll be part of a global leader in testing, inspection, and certification services. We offer opportunities for continuous learning, professional growth, and the chance to contribute to safe and efficient operations in the oil and gas sector.

Additional Information

Why Work For Sgs?

Working at SGS means joining an innovative, Global company. Here are some of the benefits to working for SGS.

• As a company, we have embraced the shift to flexible work
• Sustainability is embedded in our culture and the way we do business
• Paid parental leave
• Paid time for volunteering day and blood donations
• Corporate health & wellbeing offers
• Ongoing learning & development
• Career development opportunities (Nationally and Globally)
• SGS Rewards: Our employee benefits platform with access to retail and online discounts and cashback

COME TO WORK AND BE 100% YOU
\n
\nSGS Australia supports a diverse workforce, we encourage applications from people of all ages, nationalities, abilities, and cultures – including Aboriginal and Torres Strait Islander peoples, the LGBTQI+ community and people living with disability. Providing employment opportunities for Aboriginal and Torres Strait Islander people is an important part of our SGS Reconciliation Action Plan (RAP). We truly believe the diversity among us will continue to foster a strong, innovative, and forward-thinking workplace.
\n
\nSGS Australia acknowledges and pays respect to the past, present and future Traditional Custodians and Elders of this nation and the continuation of cultural, spiritual, and educational practices of Aboriginal and Torres Strait Islander peoples.

","hiringOrganization":{"@type":"Organization","name":"SGS","sameAs":"https://sgs.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane City, QLD, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-23","description":"

Company Description

Lendi Group is a market-leading digital platform business that is focused on revolutionising the entire property journey. It operates Lendi - Australia’s original and #1 digital mortgage brand - and the iconic Aussie franchise.

Powered by an advanced AI proprietary platform, a national network of 1,300 brokers, 230 retail stores, a team of experienced buyer’s agents, integrated property search and conveyancing, Aussie is supporting customers at every step of their property journey to find, buy and own with more confidence than ever before. Lendi Group’s loan book is more than $100b and it was named Australia’s Aggregator of the Year for 2024.

To learn more about life at Lendi Group check out our blog: https://www.lendi.com.au/inspire/category/life-at-lendi/

Why Join Us?

Innovation at Our Core – We challenge the status quo and push boundaries to create better solutions.
Work with the Best – Collaborate with some of the brightest minds in fintech, financial services, and strategy.
Make an Impact – Contribute to meaningful projects that shape our business and the future of property finance.
Grow & Evolve – Develop your skills and advance your career in a fast-moving, purpose-driven environment.

Join our data engineering team as a Data Engineer, where you’ll play a key role in developing, maintaining, and optimising modern data pipelines. You’ll work hands-on with tools such as dbt, Airflow, Snowflake, and Databricks, building scalable data solutions that enable analytics and product insights across the business.

In this role, you’ll contribute to the design of data models, drive improvements in data quality and performance, and collaborate with stakeholders to deliver reliable, well-documented solutions. It’s an exciting opportunity for a mid-level engineer who wants to deepen their expertise in cloud data platforms while making a meaningful impact in a growing data team.

Job Description

Data Engineering & Pipeline Development

Design, build, and maintain scalable data pipelines using modern data stack tools (dbt, Airflow, Python).
Take ownership of troubleshooting and resolving issues in data workflows, ensuring reliable and timely data delivery.
Work with Databricks and Snowflake environments to support ingestion, transformation, and modelling of data.
Contribute to development and optimisation of Unity Catalog, Delta Live Tables, and Spark within Databricks.

Data Modelling & Solution Design

Collaborate with senior engineers and analysts to design and implement data models that support analytics and product needs.
Translate business requirements into technical solutions, including prototyping and proof-of-concepts.
Apply best practices in data modelling (Kimball, Data Vault, etc.) to ensure scalable and performant solutions.

Collaboration & Communication

Partner with data analysts, engineers, and business stakeholders to clarify requirements and deliver solutions.
Clearly communicate progress, challenges, and technical considerations to both technical and non-technical stakeholders.

Documentation & Governance

Maintain up-to-date documentation for pipelines, workflows, and solutions, ensuring knowledge is shared across the team.
Support data governance initiatives by monitoring data quality, applying standards, and flagging anomalies.

Performance & Optimisation

Proactively identify opportunities to optimise pipelines and improve performance in Databricks and Snowflake.
Support ongoing platform improvements and contribute to scaling best practices across environments.

Continuous Learning & Contribution

Stay across emerging trends and best practices in cloud data engineering.
Mentor junior engineers where appropriate and contribute to team knowledge-sharing activities.
Actively participate in improving team culture, ways of working, and engineering standards.

Qualifications

Essential:

2–4 years’ experience in data engineering or a related role.
Strong SQL skills and experience with data modelling techniques (e.g., Kimball, Data Vault).
Hands-on experience building and maintaining data pipelines using dbt, Airflow, or similar orchestration/ETL tools.
Practical exposure to Databricks (Spark, Delta Live Tables, Unity Catalog) and Snowflake (warehousing, performance tuning, security).
Proficiency in Python for data processing and automation.
Understanding of data governance, data quality, and best practices for managing cloud data platforms.
Strong problem-solving skills with the ability to troubleshoot and resolve data pipeline issues.
Good communication skills to collaborate with engineers, analysts, and business stakeholders.

Desirable:

Experience working in cloud platforms (AWS, Azure, or GCP).
Familiarity with CI/CD, infrastructure-as-code (Terraform, Git, etc.).
Exposure to BI/visualisation tools (Tableau, Power BI, or similar).
Previous experience in a mid-size to large data environment, supporting cross-functional teams.
Interest in mentoring juniors and contributing to team knowledge-sharing.

Additional Information

Lendi Group teams operate across Australia and the Philippines. Bringing together diverse expertise, innovative technology and a customer-first approach, our teams work seamlessly to simplify the property journey, helping Australians find, buy and own property with confidence.

We support our people in a variety of ways, but a few of the benefits that our people rave about include:

A vibrant, relaxed, yet professional culture.
Hybrid working arrangement designed to support work-life balance, while fostering meaningful connection and collaboration.
A holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work.
Generous paid Parental Leave: we celebrate our growing Lendi Group family with 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers.
An additional week’s Loyalty Leave each year after reaching 3 years’ service.
Wellness initiatives with a strong focus on psychological safety.

We’re committed to fostering a diverse and inclusive community at Lendi Group. We believe that a team reflecting the world around us leads to greater innovation, stronger collaboration, and a more engaging workplace.

Our culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. Our values are part of our core DNA that helps Lendi Group to attract, engage and evolve the right talent and build best-in-class products.

This is an opportunity to shape the future of a fast-growing, purpose-driven company that’s transforming the homeownership journey.

Ready to contribute to Lendi Group’s next chapter? Apply now and be part of something big!

#Lendigroup #Li-Gr2 #Li-Hybrid

","hiringOrganization":{"@type":"Organization","name":"Lendi Group","sameAs":"https://www.lendigroup.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, NSW, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"(Senior) Data Engineer (Databricks/Snowflake) (m/w/d)","datePosted":"2025-09-23","description":"

Mit Capgemini entscheidest du dich für ein Unternehmen, in dem du die Möglichkeit hast, deine Karriere so zu gestalten, wie du es dir wünscht. Indem du von einer kollaborativen Gemeinschaft von Kolleg/innen auf der ganzen Welt unterstützt und inspiriert wirst und die Chance hast, dir neue Möglichkeiten vorzustellen. Komm zu uns und hilf uns den weltweit führenden Organisationen, den Wert von Technologien zu zeigen und eine nachhaltigere, inklusivere Welt zu schaffen.

Deine Rolle

Als Data Engineer bei Capgemini arbeitest du an der Spitze der digitalen Transformation – arbeite mit Echtzeitdaten in Databricks oder baue eine neue Architektur mit Snowflake auf. Deine Skills nutzt du, um komplexe Datenströme zu bändigen und daraus leisstungsstarke Lösungen zu formen.

\n\n

In dieser Position wirst du eine wichtige Rolle spielen in:

Daten verbinden, die bewegen: Du integrierst Daten aus APIs, Batch-Prozessen und Echtzeit-Datenströmen und sorgst für eine reibungslose Verarbeitung.
Strukturen schaffen, die bleiben: Du konzipierst und implementierst Datenmodelle, die sowohl technische als auch geschäftliche Anforderungen erfüllen.
Pipelines bauen, die skalieren: Du entwickelst robuste Datenpipelines, die große Datenmengen effizient verarbeiten und kontinuierlich weiterentwickelt werden.
Baue Architektur: Mit Snowflake gestaltest du eine moderne Datenarchitektur von Grund auf neu.

Dein Profil

Du hast mindestens 3 Jahre Erfahrung in der erfolgreichen Umsetzung von Data Projekten.
Du verfügst über Expertise in Databricks oder Snowflake, sowie idealerweise Zertifizierungen in jeweiligem Tool.
Du nimmst sehr gute Kenntnisse in SQL, Python, Automatisierung (CI/CD) und DevOps mit und verstehst nachgelaferte Prozesse (BI, Data Science, AI) und deren Anforderungen.
Du kennst dich sehr gut in der Datenmodellierung aus (Kimball, Data Vault) und weißt, wie man komplexe Datenstrukturen sinnvoll abbildet.
Du bist ein echter Teamplayer, kommunizierst klar und überzeugend – auf Deutsch und Englisch in Level C1.

Was Dir Bei Uns Besonders Gefallen Wird

Wir verstehen die Bedeutung flexibler Arbeitsregelungen, daher bieten wir HomeOffice und flexible Arbeitszeiten oder in ausgewählten EU-Staaten arbeiten mit unserem FlexAbroad Programm. Du erhältst ein Umfeld, in dem du eine gesunde Work-Life-Balance aufrechterhalten kannst.
Das Herzstück unserer Mission ist deine berufliche Entwicklung. Unser Angebot an Programmen für die berufliche Weiterbildung und verschiedenen Positionen ist darauf ausgerichtet, dich bei der Erkundung einer Welt voller Möglichkeiten zu unterstützen.
Rüste dich mit wertvollen Zertifizierungen in den neuesten Technologien wie Microsoft Azure, Databricks und Snowflake aus.
Wir bieten Zusatzleistungen wie regelmäßige Team- und Firmenveranstaltungen, monatliche Essensgutscheine, die Jahreskarte der Wiener Linien, Massagen im Büro und vieles mehr.

\n\n

Kollektivvertrag für Angestellte in Information und Consulting, Mindestgehalt von 60.000,- Euro brutto pro Jahr, marktkonforme Überzahlung abhängig von Qualifikation und Erfahrung.

Wir freuen uns über Deine Bewerbung auf Englisch, ausschließlich über unser Bewerbungsportal und unter Angabe von Gehaltsvorstellung und frühestmöglichem Eintrittszeitpunkt.

ÜBer Capgemini

Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen. Das Unternehmen unterstützt diese bei ihrer dualen Transformation für eine stärker digitale und nachhaltige Welt – stets auf greifbare Fortschritte für die Gesellschaft bedacht. Capgemini ist eine verantwortungsbewusste, diverse Unternehmensgruppe mit einer über 55-jährigen Geschichte und 350.000 Mitarbeitenden in mehr als 50 Ländern. Kunden vertrauen auf Capgemini, um das Potenzial von Technologie für die ganze Breite ihrer Geschäftsanforderungen zu erschließen. Capgemini entwickelt mit seiner starken Strategie, Design- und Engineering-Expertise umfassende Services und End-to-End-Lösungen. Dabei nutzt das Unternehmen seine führende Kompetenz in den Bereichen KI, Cloud und Daten sowie seine profunde Branchenexpertise und sein Partner-Ökosystem. Die Gruppe erzielte 2023 weltweit einen Umsatz von 22,5 Milliarden Euro.

","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://www.capgemini.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vienna, AT","addressCountry":"Austria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Data engineer","datePosted":"2025-09-23","description":"Na IRIUM queremos que persigas sempre os teus sonhos! Aqui, prepara-te para conquistares as tuas metas, enquanto desfrutas do caminho.

Atualmente encontramo-nos à procura de Senior Data engineer

Requisitos:

8-10 anos de experiência na posição
Licenciatura o nível da Eng. De Software ou Informática
Experiência análise e estruturação de dados em bruto
Experiência em construção de dados e pipelines
Experiência em construção de algoritimos e protótipos
Experiência em análise de dados complexos e exploração de dados
Experiência na preparaçãode dados para modelagem prescritiva e preditiva
Experiência em projetos
Experiência com Agile, Jira e Confluence
Conhecimentos de português e inglês obrigatório

Localização: Lisboa

Regime: Hibrido

O que oferecemos?

➡ Uma empresa inovadora e em crescimento, com muitas oportunidades de desenvolvimento profissional.

➡ Retribuição de acordo com a tua experiência e performance. Acesso a retribuição flexível e seguro médico como benefício social.

➡ Acesso ilimitado a formação tecnológica em modalidade livre.

A IRIUM é uma empresa formada por profissionais dinâmicos e proativos. Os nossos valores são a responsabilidade e o compromisso com a qualidade do trabalho. Este é o espírito que procuramos na IRIUM, seja qual for a tua idade.

Se te reconheces nestes valores, esta é a tua empresa!

Podemos construir juntos o futuro. Falamos?

Envie a tua candidatura para: recrutamento@irium.pt

Na IRIUM defendemos um mundo sem estereótipos nem limitações e acreditamos na igualdade para todos, princípios que subscrevemos no nosso Plano de Igualdade e Código de Ética, garantindo a igualdade de tratamento e de oportunidades à margem de qualquer condição pessoal, física ou social.","hiringOrganization":{"@type":"Organization","name":"IRIUM Portugal","sameAs":"https://www.irium.pt/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisboa, Lisboa","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"FID Federal Risk Applications Data Engineer","datePosted":"2025-09-23","description":"

Req ID: 341951

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a FID Federal Risk Applications Data Engineer to join our team in Mumbai, Mahārāshtra (IN-MH), India (IN).

Job Duties: Team Profile:
Our focus is developing systems serving as a data integration and feeding platform, ensuring that calculation results and other data initiated in our Division reaches our downstream clients and meeting all their requirements. The main challenges in this area are the volume of the data (feeding hundreds of gigabytes daily), interfacing with multiple other systems, being exposed to different financial products to a certain extent and being resilient to errors while keeping our SLA-s. The data we feed is critical in fulfilling the regulatory requirements set by the FED, PRA or BAFIN. Our team is also involved in developing calculations of regulatory scenarios requested by our Market Risk Department. The main technical challenge for this team is computational complexity.

We offer:
• Work for the firm that attracts some of the brightest talents like Bjarne Stroustrup, the inventor of the C++ language
• A supportive and vibrant multinational environment, which is leveraging technology to its highest potential. We accept individual differences and believe in teamwork
• An open door to have continuous dialogue with our senior leaders – an environment where you are truly listened to
• Professional development opportunities including access to Morgan Stanley’s world-class internal trainings
• A competitive compensation and benefits package including eligibility for an annual bonus and flexible working arrangements (core hours / work-time cycle and opportunity to work from home)

You will:
• Develop IT systems covering various aspects of the business run by our Institutional Securities (Fixed Income and Equities) division
• Have the opportunity to work in close collaboration with our business user and learn business concepts like how certain financial products and financial markets work
• Participate in every stage of the lifecycle of an IT system ranging from gathering the requirement and refining user stories, designing solutions, and writing code to help our support organization to answer the most interesting user questions
• Work on a diverse technology landscape involving various programming languages (Java, Scala, Python), data management systems, CI/CD pipeline (Jenkins)
• Our team has a wide coverage on technical and business problems to solve ranging from developing data integration and feeding solutions having extreme throughput and resiliency requirements to calculating regulatory scenarios requested by our Market Risk Department. The choice will primarily depend on skillset, personal interest and team fit

Minimum Skills Required: You have:
• 8-12 years of experience in designing and building architecting highly resilient data platforms
• Strong knowledge of data engineering, architecture and data modeling
• Experience in platforms like Databricks, Snowflake and Kafka
• Experience on building applications on cloud (AWS or Azure)
• Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an advantage
• Strong programming skills (Java/ Scala / Python) skills with the willingness to pick up the other language if not already mastered at a sufficient level
• OOP design skills with an understanding or at least personal interest towards the concepts of Functional Programming
• Willingness to understand and enhance other people’s code, being able to work in an environment where developers will oversee and work on wider wider bucket
• Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile methodology is an advantage
• Bachelors or Masters in any relevant field of IT/Engineering
• Strong analytical and problem-solving skills
• Prior knowledge of financial products is an advantage

About Ntt Data

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

","hiringOrganization":{"@type":"Organization","name":"NTT DATA","sameAs":"https://nttdata.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai, MH, IN","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Senior Platform Data Engineer - Azure Databricks","datePosted":"2025-09-23","description":"

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We are seeking a Platform Data Engineer to help lead the transformation of our data infrastructure from legacy on-premise systems to a modern Azure Lakehouse architecture. Based primarily in Melbourne, this role supports teams and stakeholders across the eastern states of Australia. You will design, build, and maintain scalable data platforms that enable secure, reliable, and high-performance data operations for analytics, reporting, and advanced use cases.

\n\n

Key Responsibilities

Cloud Platform Engineering

Design and implement data infrastructure using Azure Synapse Analytics, Azure Databricks, Data Lake Storage Gen2, Delta Lake, and Azure Data Factory.
Support the migration of on-premise data assets to Azure, ensuring data integrity and minimal disruption.

Data Pipeline Development

Build and maintain robust ETL/ELT pipelines using Spark, Python, and SQL.
Ensure pipelines are modular, reusable, and integrated with CI/CD workflows.

Infrastructure as Code & Automation

Use Terraform, Bicep, or ARM templates to provision and manage cloud resources.
Automate deployment and monitoring of data services using Azure DevOps or GitHub Actions.

Performance & Reliability

Monitor and optimise data platform performance, storage, and compute resources.
Implement diagnostics, logging, and alerting using Azure Monitor and Log Analytics.

Collaboration & Support

Work with cross-functional teams across Melbourne, Sydney, Brisbane, and Canberra to deliver consistent platform capabilities.
Provide technical support and documentation for platform components and data

Experience Required:

Demonstrated experience with Azure data services (Databricks, Synapse, Data Lake, Data Factory), Spark, Python, and SQL.
Proven ability to design and implement cloud-based data platforms and migrate legacy systems.
Experience with deployment and CI/CD tools (Azure DevOps, GitHub Actions).
Strong skills in monitoring, troubleshooting, and optimising data platforms.

What You’Ll Love About Working Here

We recognise the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Company Overview

Join us on our mission to elevate customer experiences for people around the world. As a member of the Everise family, you will be part of a global experience company that believes in being people-first, celebrating diversity and incubating innovation. Our dedication to our purpose and people is being recognized by our employees and the industry. Our 4.6/5 rating on Glassdoor and our shiny, growing wall of Best Place to Work awards is a testament to our investment in our culture. Through the power of diversity, we celebrate all cultures for their uniqueness and strengths. With 13 centers around the world and a robust work at home program, we believe great things happen when we work with people who think differently from us. Find a job you’ll love today!

We are looking for a skilled and experienced Data Engineer to design, build, and optimize scalable data pipelines and architectures that power data-driven decision-making across the organization. Candidate with a proven track record of writing complex stored procedures and optimizing query performance on large datasets.

Requirement:

Architect, develop, and maintain scalable and secure data pipelines to process structured and unstructured data from diverse sources.
Collaborate with data scientists, BI analysts and business stakeholders to understand data requirements.
Optimize data workflows and processing for performance, ensure data quality, reliability and governance
Hands-on experience with modern data platforms such as Snowflake, Redshift, BigQuery, or Databricks.
Strong knowledge of T-SQL and SQL Server Management Studio (SSMS)
Experience in writing complex stored procedures, Views and query performance tuning on large datasets
Strong understanding of database management systems (SQL,NoSQL) and data warehousing concepts.
Good knowledge and hands on experience in tuning the Database at Memory level, able to tweak SQL queries.
In-depth knowledge of data modeling principles and methodologies (e.g., relational, dimensional, NoSQL).
Excellent analytical and problem-solving skills with a meticulous attention to detail.
Hands-on experience with data transformation techniques, including data mapping, cleansing, and validation.
Proven ability to work independently and manage multiple priorities in a fast-paced environment.
Work closely with cross-functional teams to gather and analyse requirements, develop database solutions, and support application development efforts
Knowledge of cloud database solutions (e.g., Azure SQL Database, AWS RDS).

If you’ve got the skills to succeed and the motivation to make it happen, we look forward to hearing from you.

","hiringOrganization":{"@type":"Organization","name":"Everise","sameAs":"https://weareeverise.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Big Data Engineer, Adobe Experience Platform","datePosted":"2025-09-23","description":"

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

Adobe Experience Platform is the Adobe solution that helps customers to centralize and standardize their customer data and content across the enterprise powering 360-degree customer profiles, enabling data science and data governance to drive real-time personalized experiences. With Experience Platform, enterprises will be able to apply completely coordinated marketing and analytics solutions for driving meaningful customer interactions. The Unified Profile Services team is the core of the Adobe Experience Cloud platform. We provide robust, real-time microservices to our customers.

We help thousands of customers collect, manage and synthesize petabytes of data with high fidelity and velocity. We help them make sense of that data, get insights and run algorithms, so they can deliver delightful experiences in real-time, every time. If building new secure micro-services in the cloud based on open-source technologies at large-scale is something you’re into or even might interest you, let’s share some thoughts, we’d like to meet!

Learn More:

https://www.adobe.com/experience-platform.html

https://www.adobe.io/apis/experienceplatform/home.html

https://experienceleague.adobe.com/docs/experience-platform/rtcdp/overview.html?lang=en

What You'Ll Do

You will lead an autonomous Scrum team, assembled to design, build and deliver distributed, resilient, scalable, highly available services and software components that compose our design, implementation and uptime.
Provide technical leadership to the team, review others' design and code.
Assist team in solving code level problems quickly and efficiently
Perform on-call activities, on rotation with the rest of the team
Drive adoption of quality and cost-efficient principles in the team
Collaborate with other teams and roles to transform the business requirements into feature specs, establish integration design, resolve dependencies and adopt best-practices.
Build consensus with broader organization on technical direction.
Share knowledge via mentoring, presentations, blogs and conference.
Research, prototype and stay up to date with the evolution of the industry.

What You Need To Succeed

BS/MS or equivalent experience in Computer Science, 9+ years of commercial software development experience
Good development skills in Java / Scala with confirmed experience of writing clear, good-quality and well-documented code for building high-scale high-performance and secure services.
Good understanding of OOD, Develop, RDBMS & NOSQL database, web services, micro-services, REST, CI/CD, source control tools, DevOps principles, observability.
Knowledge of distributed computing systems, Cloud infrastructures (Azure/AWS), Spark, Kafka, Kubernetes
Strong algorithm and logical skills, very good problem-solving skills, ability to deep-dive to find the root of the problem
Able to communicate technical details clearly to all levels of organization. Excellent written and spoken English.
Being adaptable to a dynamic environment, used to experiment and research
Awareness of good software development and testing practices
Show initiative and have a self-managed approach

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

","hiringOrganization":{"@type":"Organization","name":"Adobe","sameAs":"https://www.adobe.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bucharest, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"[DID] Data Engineer","datePosted":"2025-09-23","description":"

About Dana

DANA is a leading Indonesian digital wallet platform committed to making every transaction simple, secure, and accessible. As a homegrown fintech company, we serve millions across Indonesia with cashless solutions—from payments and transfers to investments. We aim to build a trusted and inclusive financial ecosystem, driven by innovation, collaboration, and continuous learning. Join us and be part of Indonesia’s digital transformation journey!

\n\n

📌 What We’re Looking For: Data Engineer

DANA is looking for a Data Engineer to design, build, and operate our next-generation data platform. In this role, you will be responsible for developing highly available, scalable, and reliable data infrastructure on the cloud. You will collaborate closely with SREs, system engineers, MLEs, and backend engineers to deliver efficient data pipelines and ensure our platform’s cost, performance, and reliability are continuously optimized.

\n\n

What You Will Do:

Build, maintain, and operate the core layers of DANA’s data platform infrastructure.
Collaborate with SRE, System Engineers, MLE, and Backend Engineers to deliver reliable and high-performing data pipelines.
Ensure platform reliability, proactively optimize cost and performance, and troubleshoot data infrastructure issues.
Automate data pipelines, orchestration, and platform maintenance to improve efficiency and scalability.

\n\n

What You Will Need:

Strong background in Data Platform Engineering (Bash, Git, Docker, Kubernetes, Airflow).
Solid Software Engineering skills in Python, Spark, Hive, SQL, Go, or Rust.
Proven experience in building complex Data Platforms on the Cloud, from scratch.
Deep understanding of ETL, Data Integration, and Data Warehousing concepts.
DevOps skills, including CI/CD, Terraform, and Linux system administration.
Familiarity with AI Engineering concepts (Vector/Graph DB, Evaluation, RAG, Fine-tuning, API integration).

\n\n\n","hiringOrganization":{"@type":"Organization","name":"DANA","sameAs":"https://www.dana.id/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jakarta Selatan, DKI Jakarta, Indonesia (Hybrid)","addressCountry":"Indonesia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Data Engineer- 12 month Max Term Contract","datePosted":"2025-09-23","description":"

About Ticketek Entertainment Group

Ticketek Entertainment Group is a global fan experience Company that tickets, promotes and delivers incredible live experiences that are impossible to forget. In a distracted world where nothing beats real human moments, We make life better live!

Our Group includes; our Fan Experience Platform (Ticketek) that sells tickets and provides value added services, Event promoting with businesses across Touring (TEG Touring), Sport (TEG Sport), and Family Experiences (TEG Experiences) and our digital business (Ovation) which focuses on delivering seamless data-driven outcomes for our fans and partners

About The Role:

We are seeking a Data Engineer to harness data-driven solutions within our Technology team. This is your chance to apply your strong coding expertise and industry best practices to architect and implement the crucial data pipelines that power strategic business outcomes. You will be instrumental in transforming raw data, managing large-scale integration projects, setting up streaming services, and implementing Machine Learning (ML) models into production, making a direct impact on fan experiences.

Requirements

What does a day in the life look like?

Ensure adherence to data privacy, security, observability, and governance standards.
Collaborate with architects and senior engineers to design resilient, high-performance data solutions.
Build scalable data pipelines to ingest, process, and expose data using technologies like Snowflake, AWS Redshift, Kinesis, Lambda, DynamoDB, S3, Glue, Apache Storm, and others.
Develop batch and streaming data solutions using Apache Kafka, Apache Spark, Airflow, and Delta Lake for real-time and scheduled data processing.
Automate ingestion from external sources, ensuring reliability and data quality.
Design and implement event-driven data architectures with streaming frameworks such as Kafka Streams and Kinesis Data Firehose.
Implement Data Quality, Data Lineage, and Observability frameworks
Collaborate with Site Reliability Engineers to ensure stability and uptime of production pipelines and services.
Work with Data Scientists to ensure high-quality data for Machine Learning models and integrate them into production-ready pipelines.
Stay up-to-date and continuously upskill on emerging technologies, frameworks, and best practices in data engineering and cloud platforms.

About You

Essential experience & skills

Undergraduate degree focused on Computer Science, Engineering, Data Science or a related discipline.
3+ years of hands-on experience in data profiling, ETL development, SQL optimization, and testing.
Proven experience delivering large-scale data solutions with AWS technologies (Kinesis, Athena, Redshift, DynamoDB, Lambda, S3).
Proficiency with modern data platforms and tools, including Snowflake, Databricks, and Apache Storm.
3+ years of experience working with SQL and NoSQL databases, particularly MongoDB.
Familiarity with CI/CD tools and practices like Ansible, CloudFormation, and Jenkins.
Strong ability to translate complex business requirements into technical data solutions.
Excellent interpersonal and communication skills to collaborate effectively with both technical and non-technical teams.

Desirable experience & skills

Jira / Confluence experience
Experience consuming RET
Experience to AI/ML technologies.

Benefits

Here’s a taste of what TEG offers:

Complimentary event tickets
Birthday and volunteering leave
Wellbeing discounts & flu vaccinations
Paid parental leave & free employee support (EAP)
Global rewards and recognition
Learning, development & career pathways
A diverse, inclusive, and passionate team

Equal Opportunities

TEG is an equal opportunity employer committed to embrace diversity, respect, and care for our people and communities.

If there are any adjustments that need to be made to ensure you have a fair and equitable experience in our recruitment process, please advise us when scheduling your interview.

*Only direct applications will be considered. No recruiters please*

","hiringOrganization":{"@type":"Organization","name":"TEG","sameAs":"https://www.teg.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, New South Wales, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Data Science","datePosted":"2025-09-22","description":"

Company Description

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.

We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities

Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products.
Perform all of the necessary data transformations to serve products that empower data-driven decision making.
Build and manage data pipelines, design and architect databases.
Establish efficient design and programming patterns for engineers as well as for non-technical partners.
Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale.
Ensure best practices and standards in our data ecosystem are shared across teams.
Understand the analytical objectives to make logical recommendations and drive informed actions.
Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
Be a self-starter, Initiate and drive projects to completion with minimal guidance.
Contribute to engineering innovations that fuel LinkedIn's vision and mission.

Qualifications

Basic Qualifications

Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
3+ years of relevant industry or relevant academia experience working with large amounts of data
Experience with SQL/Relational databases
Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)

Preferred Qualifications

BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience working with large amounts of data
MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Experience in developing data pipelines using Spark and Hive.
Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
Experience with using distributed data systems such as Spark and related technologies (Presto/Trino, Hive, etc.).
Experience with either data workflows/modeling, front-end engineering, or back-end engineering.
Deep understanding of technical and functional designs for relational and MPP Databases
Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, streamlit, D3, and other libraries, etc.
Knowledge of Unix and Unix-like systems, version control systems such as Git.

Suggested Skills

Distributed Systems
ETL
Data Modeling

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $206,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Additional Information

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

Documents in alternate formats or read aloud to you
Having interviews in an accessible location
Being accompanied by a service dog
Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance 

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement 

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates 

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

","hiringOrganization":{"@type":"Organization","name":"LinkedIn","sameAs":"https://www.linkedin.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"HR Analytics & Data Engineer","datePosted":"2025-09-22","description":"

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your Future Role Within Qrt:

As an Analytics Engineer in the HR Technology team, you will play a critical role in building and maintaining data infrastructure to support HR insights and analytics. You will focus on transforming raw data into structured formats, ensuring data is clean, accessible, and ready for use - bridging the gap between technical and business teams. You will collaborate with multiple business areas to deliver high quality data-driven analytics that empower managers, business partners and senior leaders in their roles.

Build and maintain scalable, secure data pipelines across platforms using AWS tools like S3, RDS and Redshift.
Ensure accuracy through regular testing, monitoring, and troubleshooting to enable smooth data flow.
Centralise data from sources like Workday and Greenhouse into warehouses for BI tools
Use Python and other tools to automate and optimise data workflows for seamless operations.
Partner with HR, analytics engineers, and leadership to deliver actionable insights, ensuring alignment between technical capabilities and business requirements.
Support interactive BI dashboards (e.g. Python Dash, PowerBI, Tableau etc) that empower data-driven decisions.
Create documentation and set documentation standards for data assets & products: ETL documentation, metric glossary.
Uphold data security and compliance with best practices for access control.
Document data pipelines, models, and transformations to support transparency, reproducibility, and scalability.

Your Present Skillset:

3-5 years of relevant experience developing data-driven applications, ideally related to Talent/HR Analytics.
Strong proficiency in Python for building data pipelines, writing automation scripts and handling large datasets.
Experience with cloud platforms, especially AWS (S3, RDS, Redshift) for building data storage and processing solutions.
Experience using ETL tools to build and automate scalable data workflows.
Strong understanding of data modelling concepts, metrics and semantic layers and their application in BI environments.
Experience working with HR data and platforms like Workday, as well as an understanding of HR metrics and KPIs (e.g., retention, engagement, performance) is a plus!
Some front-end skills in JavaScript, HTML, CSS, with experience using libraries like React, Bootstrap, or similar

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

","hiringOrganization":{"@type":"Organization","name":"Qube Research & Technologies","sameAs":"https://www.qube-rt.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT.
Contributing into software and infrastructure design and implementation in AWS cloud environment.
Developing data pipelines in Python using data libraries and cloud SDKs.
Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access.
Optimizing performance of the data lake as well as OLAP databases in cross-region environment.
Ensuring data completeness and quality across critical pipelines.
Build and support tailored data solutions for Quants and Traders.

Your Present Skillset

5+ year of experience and proven track record of building data platforms.
Python and SQL mastery are essential. C++ is a big plus.
Appetite to contribute into cloud infrastructure.
Ability to build a structured approach to problem-solving.
Independent and autonomous while still a strong team player.
Intellectual curiosity to learn rapidly.
Finance experience is highly desirable.

","hiringOrganization":{"@type":"Organization","name":"Qube Research & Technologies","sameAs":"https://www.qube-rt.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT
Contributing into software and infrastructure design and implementation in AWS cloud environment
Developing data pipelines in Python using data libraries and cloud SDKs
Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access
Optimizing performance of the data lake as well as OLAP databases in cross-region environment
Ensuring data completeness and quality across critical pipelines
Build and support tailored data solutions for Quants and Traders

Your Present Skillset

5+ year of experience and proven track record of building data platforms
Python and SQL mastery are essential. C++ is a big plus
Appetite to contribute into cloud infrastructure
Ability to build a structured approach to problem-solving
Independent and autonomous while still a strong team player
Intellectual curiosity to learn rapidly
Finance experience is highly desirable

\n\n

","hiringOrganization":{"@type":"Organization","name":"Qube Research & Technologies","sameAs":"https://www.qube-rt.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hong Kong","addressCountry":"Hong Kong","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Data Engineer - Tooling","datePosted":"2025-09-22","description":"

Join our Data team to architect and build the tools used to create new data-sources and monitor key production systems. This role offers hands-on exposure to the core datasets used by QRT, and will partner closely with other technology teams, quants, and traders, building systems that guarantee the integrity of our data and avoid trading losses.

\n\n

Your future role within QRT
We’re looking for a hands-on Data Engineer to join QRT. In this role you’ll build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You’ll work closely with other engineering teams and business stakeholders to deliver a mission-critical platform.

\n\n

Data Quality ToolsYour key deliverable is to develop and maintain a platform which ensures the quality of our data-pipelines, and alerts stakeholders to critical production issues.
Library MaintenanceMaintain and improve shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets.
Cross-team IntegrationsDesign, build, and document our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines.
Observability & MonitoringBuild out the observability stack (logs, metrics, tracing) to monitor our data assurance system, as well as other tools for the management of our data-pipeline lifecycle.
Platform SupportSupport users in best practice usage of our tooling, migrate code to the latest standards as well as investigate, debug and resolve issues with our platform.

\n\n

Your present skillset
You thrive at the intersection of software engineering, data operations, and DevOps. You’re comfortable both architecting solutions and writing the code to deploy and maintain them, and you relish collaborating with diverse stakeholders to turn requirements into production-grade systems.

\n\n

5+ years of hands-on experience in data engineering or data-adjacent engineering roles
Strong software engineering fundamentals and proficiency in Python
Experience with workflow orchestration frameworks (e.g. Argo, Celery, Airflow)
Experience designing and implementing RESTful APIs and internal service integrations
Experience with observability tools (e.g. Prometheus, Grafana, CloudWatch)
Familiarity with Kubernetes, container orchestration, and cloud infrastructure (AWS preferred)
Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus
Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus
Knowledge of ETL/ELT pipelines, and metadata management is a plus
Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders
Self-starter mentality with the ability to work autonomously within a globally distributed team

\n\n

","hiringOrganization":{"@type":"Organization","name":"Qube Research & Technologies","sameAs":"https://www.qube-rt.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"

Company Description

We are One Sutherland — a global team where everyone is working together to create great breakthrough solutions. Our workforce has thrived in an environment of diversity of thought, experience and background. We celebrate our diversity and embrace it whole-heartedly. Sutherland is an equal opportunity employer. We promote a positive work environment by conducting ourselves professionally and helping each other achieve our goal of One Sutherland Team, Playing to Win.
\n
\nSutherland was founded 38 years ago (1986). Since then, we have become a leading global provider of business process and technology management services offering an integrated portfolio of analytics-driven back office and customer-facing solutions that support the entire customer life cycle.

Job Description

Sutherland is seeking an experienced Integration Engineer to deliver the technical aspects of product deployments for NICE Systems' customers. This is a technical consulting role which involves direct interaction with customers to understand their business data and to design and implement creative solutions to integrate the data with the NICE Performance Management Application. NICE Integration Engineers also design and develop end-user functionality such as forms, workflows and reports for customer implementations.

Main Responsibilities and Deliverables Strengthen relationships:

Implement custom deployments of the NICE product suite for clients
Integrate NICE's applications with other enterprise systems and data sources using ETL, XML, and scripting languages
Work closely with customer and NICE Client Services team on all technical aspects of a NICE deployment, including but not limited to – data mapping, form and workflow design and implementation, report design and implementation.
Work with other NICE Integration Engineers to share best practices and knowledge

Our most successful candidates will have:

Excellent technical and analytical skills.
In-depth knowledge of data handling and SQL.
Integration experience with enterprise software.
Excellent organizational skills, ability to set own task lists and timelines.
Excellent verbal and written communication skills and ability to work in a team.
Demonstrated interest and ability to communicate across technology and business boundaries. • Bachelor's degree in computer science (or equivalent).

Qualifications

Responsibilities:

Implement custom deployments of the NICE product suite for clients
Integrate NICE's applications with other enterprise systems and data sources using ETL, XML, and scripting languages
Work closely with customer and NICE Client Services team on all technical aspects of a NICE deployment, including but not limited to – data mapping, form and workflow design and implementation, report design and implementation.
Work with other NICE Integration Engineers to share best practices and knowledge
Provide input to NICE’s Product Management group on how to enhance future products Valuable skills:
Linux, Windows 2000/3 • XML, Java, JSP, HTML, Perl
Oracle, SQL Server, DB2
Experience as a DBA, System Administrator, or Network Administrator
Experience implementing and managing data warehouses
Experience with Hadoop or other Big Data platforms
Familiarity with Business Intelligence tools (e.g. Business Objects, Cognos, SAS)
Familiarity with ETL tools (e.g. Informatica, Brio)

","hiringOrganization":{"@type":"Organization","name":"Sutherland","sameAs":"https://www.sutherlandglobal.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bogotá, //BOGOTA, Colombia","addressCountry":"Colombia","addressRegion":"South America"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Data Engineer II, Banking","datePosted":"2025-09-22","description":"

This Is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Data Engineer

Adyen is looking for a Data Engineer II to join the Bank Reporting team in Chicago. Merchants use the products built by the Reporting teams to understand their usage of the Adyen platform in detail and perform financial reconciliation. This is a key workflow for our merchants’ continued use of our financial products. As a result, this role requires a solid understanding of both the business context and its data needs, with a focus on building high-quality data pipelines on our Big Data Platform. As a Data Engineer at Adyen, you will be instrumental in maintaining our data infrastructure and ensuring smooth data flows across systems, as well as understanding how the Adyen platform works at a deep level and translating that complexity into simplicity for our merchants.

What You’Ll Do

Collaborative Solution Development: Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions.
Quality Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability.
Data Best Practices: Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams. Participate in mentoring and knowledge sharing initiatives.
High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest.
Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems. Improve query performance and resource utilization to meet SLAs and performance requirements, using technologies Spark optimizations.

Who You Are

Experienced in Big Data: Around 3 years of experience working as a Data Engineer or in a similar role.
Technical Skills: Proficient in tools and frameworks such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, Druid, SQL or similar data tools.
Clear Communicator: Able to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders.
Self-starter: Capable of identifying opportunities, devising solutions, and handling projects independently.
Innovator: You have an experimental mindset with a ‘launch fast and iterate’ mentality.
Data Culture Champion: Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement.

Data positions at Adyen

We know companies have different definitions for their data-related positions - for instance, various company sizes may approach data positions differently. Since creating Data as a standalone discipline at Adyen, we have categorized and defined all our positions. Have a look at this blogpost to find out more information about how Data positions look at Adyen.

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’S Next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

\n\n

This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

","hiringOrganization":{"@type":"Organization","name":"Adyen","sameAs":"https://www.adyen.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities.

Job Description:

Strider is revolutionizing the way companies, universities, research institutions, and government agencies protect their innovation and compete in a new era of global strategic competition. Our trailblazing technology and intelligence solutions enable clients to proactively identify, manage, and respond to foreign government directed IP theft and supply chain vulnerabilities. We are a data company. We have billions of documents online and are collecting millions of new documents each day. The Data Engineering team is responsible for building structured data assets from these raw documents to build new products and enhance existing ones.

If you’re ready to be part of an elite team tackling some of the most pressing security and technology challenges, let’s talk.

Responsibilities For This Role:

Develop large scale data processing pipelines
Create data assets from unstructured data
Build and support internal and external facing APIs
Author design documents
Mentor teammates
Drive software engineering best practices
Participate in code reviews
Collaborate with a talented cross-functional team of engineers, data scientists and subject-matter experts

You Are A Good Fit For This Role If You:

Have 4-5+ years of software engineering experience
Previous experience working in a data heavy role
Understand how to use cloud infrastructure effectively
Are a natural problem solver with an affinity for data
Are opinionated about how software is built
Are proficient at breaking down large, sometimes ambiguous, problems into well-defined tasks
Value shipping code early and often
Have a well-honed mental model for how software systems execute and interact

Technologies We Use:

Python
Elasticsearch
Memgraph
Flyte
AWS (EC2, S3, SQS, DynamoDB, Lambda, EKS)

Benefits

Competitive Compensation
Company Equity Options
Flexible PTO
Wellness Reimbursement
US Holidays (Office Closed)
Paid Parental Leave
Comprehensive Medical, Dental, and Vision Insurance
401(k) Plan

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

","hiringOrganization":{"@type":"Organization","name":"Strider Technologies","sameAs":"https://www.striderintel.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tysons, Virginia, United States South Jordan, Utah, United States,","addressCountry":"Jordan","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Data Engineer (East Coast Remote)","datePosted":"2025-09-22","description":"About Empassion
Empassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.Ready to Make a Difference?
If you’re driven by data, healthcare, and impact, apply and let’s talk!
","hiringOrganization":{"@type":"Organization","name":"Empassion","sameAs":"https://empassion.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Cloud Data Engineer","datePosted":"2025-09-22","description":"

General Purpose & Essential Duties

The Cloud Data Engineer conceptualizes and builds pipelines that contextualize and provide easy access to the data for the entire organization. They possess the ability to guide organizational growth and develop data solutions that translate complex data into user-friendly terminology. The Cloud Data Engineer will design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning, and business intelligence/insights. The Cloud Data Engineer is also responsible for providing IT support based on the company’s needs.

Build and operationalize complex data solutions/data warehouse, correct problems, apply transformations, and recommend data cleansing and data quality solutions using Azure Data Factory.
Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to overall data strategy.
Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
Incorporate core data management competencies including data governance, data security and data quality.
Act as a data and technology subject matter expert (SME) within lines of business to support delivery and educate end users on data products and the analytic environment.
Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
Build and maintain Power BI, SQL reports and SSIS packages as needed
Documents, designs, monitors SQL servers’ processes and security
IT support based on company needs

Required Education, Experience, Skills & Knowledge

Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.
Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.
Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.
Excellent time management skills with the proven ability to work on multiple projects and stay within scope, schedule, cost, and quality specifications.
Proficient with Azure Data Factory, Pipelines, Microsoft SQL Server Management Studio, Visual Studio and SQL scripting.
Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.
Bachelor’s Degree in STEM related field or equivalent training with data tools, techniques, and manipulation.
5+ years of data engineering or equivalent experience.
Experience developing reports using Power BI/SQL Server Reporting Services
Microsoft SSAS development experience a plus

","hiringOrganization":{"@type":"Organization","name":"Guardian Alarm","sameAs":"https://guardianalarm.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Southfield, Michigan, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Data Engineer, Data Lake","datePosted":"2025-09-22","description":"

Company Description

Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024.

Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards.

Pismo’s 500+ employees are located in more than 10 countries around the world.

Job Description

Summary

Data Teams play a central role at Pismo, providing data-intensive analytics for internal product teams, while also processing and delivering TBs of high-quality data, mainly in streaming form, needed by our partners to produce outstanding products downstream.
\nOperating mainly in Brazil, the data team recently extended its scope to accelerate the platformization of data services globally, with representatives in Europe and soon in the US and Asia. We are looking for talented engineers who share our culture of trust, mutual responsibility, and technological excellence to be part of this unprecedented and diverse global data organization.

What You'Ll Do

Serve as a senior technical contributor on Pismo’s data stack, leading the design and development of robust, scalable data pipelines using modern Big Data frameworks.
Drive continuous improvement in platform performance, reliability, and cost-effectiveness, proactively identifying opportunities for innovation.
Take ownership of production operations and monitoring (file-based systems), ensuring adherence to SLAs and applying best practices for observability and resilience.
Collaborate with cross-functional teams to architect, build, and evolve high-complexity data features, reducing technical debt and championing engineering excellence.
Provide mentorship to peers through code reviews, feedback, and support, fostering an environment of knowledge sharing and professional development.
Ensure that data pipelines follow the best testing, monitoring, observability, and security practices.
Participate in on-call rotations, promptly addressing and resolving production incidents, while proactively implementing preventative measures.
Build and optimize ETL/ELT processes to handle large-scale data, leveraging advanced data processing and distributed systems techniques.
Maintain rigorous data governance and platform standards, working closely with data stakeholders to ensure consistent, high-quality data assets.
Conduct root-cause analyses for critical issues, challenging and refining team processes to enhance efficiency and reliability.
Influence multiple teams by promoting a culture of technical excellence, forward-thinking solutions, and continuous improvement.

This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.

Qualifications

Basic Qualifications

2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
B1 English or Above (Intermediate)
Strong experience as a Data Engineer
Good experience with AWS services (e.g., S3, DMS, Lambda, Kinesis, and IAM)
Apache Spark experience or similar tools (e.g., Flink, Hadoop)
Python experience
Architectural design experience
Git/GitHub experience
Monitoring tools: Grafana and CloudWatch (logs/tracing/spans/monitoring/alerts/dashboards)
SQL experience

Desirable Qualifications

CI/CD experience
Airflow experience
CDC (Change data capture) experience

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

","hiringOrganization":{"@type":"Organization","name":"Visa","sameAs":"https://visa.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"São Paulo, SP, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Data Engineer, Global Operations Analytics and Technology","datePosted":"2025-09-22","description":"

The Role

The position is part of the Global Operations Analytics & Technology Alliance, which has the mission to harmonize supply chain data to enable easier data-driven decision making across our enterprise domains. GOAT Alliance helps produce a supply chain environment that ensures the highest quality product while adapting to changing customer needs.

Our Data Engineers assume development and operational responsibility for the HelloFresh Platform that enables serving millions of customers globally by providing the best & efficient experience for our customers and internal users.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

\n\n

What You’Ll Do

Take ownership of the end-to-end process, including architecture, design, development, deployment, and operations of data pipelines, applying DevOps practices, pair programming, and other cutting-edge methodologies.
Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teams
Demonstrate an in-depth understanding of HelloFresh’s core product and architecture, and act as ambassador for software solutions offering support and mentorship to colleagues
Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka, PySpark, Kubernetes, Airflow, Databricks, as well as our in-house Data Pipeline tools

\n\n

What You’Ll Bring

Solid software engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python
Hands-on experience with cloud computing and data processing technologies, including PySpark, Kubernetes, Kafka
Expertise in data modeling, relational databases (e.g., PostgreSQL), and object stores (e.g., AWS S3), cloud data platform (e.g. databricks), Data warehouse (e.g. Snowflake)
Proven expertise in making efficient and robust data pipelines, including optimizing their performance
Passion for data quality assurance, data monitoring
Expertise in end-to-end development processes, including unit, integration & functional testing, application tuning/profiling, and continuous integration
Extensive experience with agile methodologies, with a strong focus on delivery, lean thinking, and quick iterations
Ability to continuously develop yourself and learn from your peers
Ability to collaborate and mentor team members, while also sharing practical knowledge and trends
Familiarity with e-commerce and subscription-based businesses is a plus

Interacting with back-end developers, front-end developers, product analysts, product managers and other teams around the world is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their engineering skills to a wide range of platforms and environments, while also acting as an ambassador to coach team members and stakeholders.

\n\n

You’Ll Get

Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
Generous PTO, including sabbatical, and parental leave of up to 16 weeks
Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
Tuition reimbursement for continuing education
Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

\n\n\n

Colorado Job Application Fairness Act (JAFA)

\"Our company is committed to fair hiring practices and complies with all applicable laws, including the Colorado Job Application Fairness Act (JAFA). In accordance with JAFA, we will not request your age, date of birth, or dates of attendance at or graduation from an educational institution on your initial application for employment.

When submitting supporting documents such as a resume, curriculum vitae (CV), or educational transcripts, you may voluntarily redact or omit any information that would identify your age. This includes:

Dates of birth
Dates of attendance at educational institutions
Dates of graduation

Your decision to redact this information will not adversely affect the consideration of your application. We evaluate all candidates based on their skills, qualifications, and experience. Please be aware that should you receive a conditional offer of employment, we may be required to request this information for legally permissible purposes, such as verifying eligibility for employment or for benefits administration and background checks.\"

\nColorado Pay Range$100,000—$110,000 USD","hiringOrganization":{"@type":"Organization","name":"HelloFresh","sameAs":"https://www.hellofresh.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boulder, Colorado, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Data Engineer, Global Operations Analytics and Technology","datePosted":"2025-09-22","description":"

The Role

\n\n

What You’Ll Do

Take ownership of the end-to-end process, including architecture, design, development, deployment, and operations of data pipelines, applying DevOps practices, pair programming, and other cutting-edge methodologies.
Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teams
Demonstrate an in-depth understanding of HelloFresh’s core product and architecture, and act as ambassador for software solutions offering support and mentorship to colleagues
Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka, PySpark, Kubernetes, Airflow, Databricks, as well as our in-house Data Pipeline tools

\n\n

What You’Ll Bring

Solid software engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python
Hands-on experience with cloud computing and data processing technologies, including PySpark, Kubernetes, Kafka
Expertise in data modeling, relational databases (e.g., PostgreSQL), and object stores (e.g., AWS S3), cloud data platform (e.g. databricks), Data warehouse (e.g. Snowflake)
Proven expertise in making efficient and robust data pipelines, including optimizing their performance
Passion for data quality assurance, data monitoring
Expertise in end-to-end development processes, including unit, integration & functional testing, application tuning/profiling, and continuous integration
Extensive experience with agile methodologies, with a strong focus on delivery, lean thinking, and quick iterations
Ability to continuously develop yourself and learn from your peers
Ability to collaborate and mentor team members, while also sharing practical knowledge and trends
Familiarity with e-commerce and subscription-based businesses is a plus

\n\n

You’Ll Get

Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
Generous PTO, including sabbatical, and parental leave of up to 16 weeks
Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
Tuition reimbursement for continuing education
Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

\n\n

Colorado Job Application Fairness Act (Jafa)

Dates of birth
Dates of attendance at educational institutions
Dates of graduation

\n\n

Application Deadline: August 5, 2025

\nNew York Pay Range$100,000—$115,000 USDColorado Pay Range$100,000—$110,000 USD","hiringOrganization":{"@type":"Organization","name":"HelloFresh","sameAs":"https://www.hellofresh.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boulder, Colorado, United States; New York, NY, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"AI Data Engineer","datePosted":"2025-09-22","description":"

Nanonets has a vision to help computers see the world starting with reading and understanding documents. Our product helps businesses automate document related workflows for enterprise office teams such as invoice data entry for AP teams, KYC automation for banks and insurance etc. Some of the companies we work with include Toyota, Boston Scientific, Bill.com and Entergy to name a few.

We recently raised a series B round of $29 million. Now we’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

Nanonets is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.

About The Role

We are seeking a motivated and adaptable AI Data Engineer with a strong interest in data infrastructure. This role will play a crucial role in scaling data sets that we use for training our AI models. The ideal candidate will be passionate about building robust and efficient data pipelines, ensuring data quality, and contributing to the advancement of our AI capabilities.

Responsibilities:

Large-Scale Data Collection (millions of records):

Gather data through web scraping or utilize existing open datasets.
Alternatively, leverage Nanonets' internal datasets via our APIs.

Dataset Filtering, Cleaning, And Validation:

Use foundational models or rule-based approaches to filter and clean datasets.
Ensure dataset integrity through comprehensive validation.

Data Visualization:

Work with tools like Streamlit or Gradio for effective data visualization.

Benchmarking:

Run existing benchmarks on models to assess their performance.

Model Migration:

Migrate models from older versions to newer ones based on benchmark results.

Collaboration With Annotators:

Coordinate with annotators to ensure accurate and consistent data labeling.

Qualifications:

B.E/B.Tech from a reputed school.
0-3 years of experience.
Strong hands-on experience in Python
Good written and verbal communication skills.
Strong interpersonal skills, with the ability to build rapport.

Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.

","hiringOrganization":{"@type":"Organization","name":"Nanonets","sameAs":"https://nanonets.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"\n\n

Technical

Departmento: Engineering - Data
Nível: Pleno
Modelo de contratação: CLT
Local de trabalho: Remoto

\n\n

Sobre a AB InBev

A AB InBev é a cervejeira líder global e uma das 5 maiores empresas de produtos de consumo do mundo. Com mais de 500 marcas de cerveja, somos a número um ou dois em muitos dos principais mercados de cerveja do mundo, incluindo a América do Norte, América Latina, Europa, Ásia e África.

About ABI Growth Group

Criado em 2022, o Growth Group unifica as nossas equipas business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution e Marketing. Ao reunir funções tecnológicas e comerciais globais, o Growth Group permite-nos tirar o máximo partido dos dados e impulsionar a transformação digital e o crescimento orgânico da AB InBev em todo o mundo.

About Bees:

Como uma célula tecnológica de nossa organização, temos um objetivo simples: crescer. Crescer como pessoas, como profissionais, como empresa. Para alcançar isso, utilizamos a tecnologia para criar soluções digitais que simplificam a vida de nossos clientes, tornam suas decisões mais inteligentes e seus negócios mais lucrativos. Com escritório em São Paulo e Campinas, incentivamos nosso time a participar presencialmente em grandes eventos e reuniões significativas ao longo do ano.

Responsabilidades:

Implementar soluções ETL/ELT e integração de dados entre vários sistemas e fontes de dados.
Conceber, implementar e manter pipelines de dados para ingerir, armazenar e processar grandes volumes de dados.
Colaborar com outras equipes para garantir a segurança e a conformidade dos dados.
Conceber, desenvolver e implementar soluções para otimizar o desempenho e a escalabilidade dos sistemas de processamento de dados.

\n\n

Requerimentos E QualificaçõEs:

Licenciatura em Ciências Informáticas, Engenharia Informática, Sistemas de Informação, Análise de Desenvolvimento de Sistemas ou similar;
Inglês Intermediário;
Aplicar conhecimentos sobre conceitos e ferramentas de pipeline de dados para implementar tarefas de transformação, limpeza e agregação de dados.
Utilizar estruturas e bibliotecas de pipeline de dados para automatizar tarefas de processamento de dados e otimizar fluxos de trabalho.
Seguir as melhores práticas de desenvolvimento de pipelines de dados, incluindo controle de versões, testes e documentação exaustiva.
Aplicar competências de programação em Python, PySpark, Scala e SQL para manipular e transformar dados de forma eficaz.
Compreender e utilizar plataformas e serviços de computação em nuvem oferecidos por fornecedores como AWS, Azure e Google Cloud.
Desenvolver pipelines de dados utilizando estruturas de orquestração (por exemplo, Apache Airflow, Luigi, Mage, Databricks Workflows), integrando com PySpark e/ou Scala, conforme necessário.
Compreender e aplicar princípios de conceção de software a projectos de engenharia de dados.
Aplicar técnicas de modelação de dados para conceber modelos de dados eficientes e escaláveis.
Otimizar o desempenho das consultas PySpark e SQL, tendo em conta o volume de dados, a complexidade das consultas e os recursos do sistema.
Utilizar ferramentas de dados para ingestão, transformação, análise e visualização.

\n\n

Soft Skills:

Raciocínio lógico e competências analíticas;
Cumprimento de prazos e qualidade do trabalho;
Diálogo eficaz e transparente com outras áreas e colegas de trabalho;
Capacidade de comunicação e relacionamento interpessoal para apresentar casos e discuti-los com outras áreas envolvidas;
Ser autónomo nas atividades;

Diferenciais:

Desenvolver e manter APIs para troca de dados entre aplicações.
Experiência com plataformas de computação em nuvem (AWS, Azure, Google Cloud) e seus serviços.
Utilizar estruturas de automação usando ferramentas como Azure DevOps, Terraform e Github Actions.

\n\n

BenefíCios:

Bonus baseado no desempenho*
Bonus de assiduidade*
Plano de pensão privado
Auxílio refeição
Dress code e escritório informal
Dias de folga*
Seguro de saúde, dentário e de vida
Descontos em medicamentos
Parceria Gympass
Auxílio creche
Descontos em produtos Ambev*
Parceria Clube Ben
Bolsa de estudo*
Garantia do material escolar
Plataformas linguísticas e de formação
Auxílio transporte

*Rules Applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.

For more information: www.abinbev.com

\n","hiringOrganization":{"@type":"Organization","name":"BEES","sameAs":"https://www.bees.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Campinas, São Paulo, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Teradata, SQL, BigQuery)","datePosted":"2025-09-22","description":"

Description De L'Entreprise

Notre mission depuis 30 ans ? Être présent au bon moment !

Notre expertise ? Accompagner nos clients à capter l’attention de l’utilisateur et transformer cette interaction furtive en une interaction mémorable. C’est dans cette optique que nous accompagnons les entreprises dans la mise en œuvre, et le pilotage de dispositifs digitaux pour une expérience utilisateur réinventée.

La juste interaction, c’est quoi ? C’est capter notre attention au bon moment, au bon endroit et la convertir en envie et en confiance. Un équilibre subtil entre le trop et le trop peu. Entre le trop tôt et le trop tard.

Devenez SQLien et faites partie de cette grande aventure au sein d’une société à taille humaine, mais avec de grandes ambitions. Nous sommes plus de 2200 talents sur plus de 13 pays et 3 continents.

Notre culture ? Oser et créer.

Description Du Poste

Au sein de l'équipe Data, vous êtes référent technique d’une équipe de développement qui réalise des solutions de gestion de la donnée..

ResponsabilitéS Principales:

En tant que pilier technique de l’équipe, vous prenez en charge des responsabilités clés qui garantissent la qualité, la collaboration et l’innovation au sein du pôle DATA :

Vous êtes responsable de la qualité du code produit et du respect des normes et des outils du domaine DATA et de la DSI.
Vous êtes responsable de mettre en place les pratiques qui favorisent la collaboration, la propriété collective du code et la montée en compétence technique au sein de l’équipe.
Vous favorisez les interactions de l’équipe avec l’ensemble de la DSI (particulièrement les OPS).
Vous êtes chargé également de réaliser, de créer et faire évoluer nos solutions logicielles permettant de répondre aux besoins demandés par nos métiers en terme d'analyses DATA, explorations DATA, ou d'accès aux données via API.

ActivitéS :

Vous intervenez au quotidien sur un ensemble d’activités variées qui couvrent le support technique, la coordination, le développement et la documentation :

Vous facilitez la résolution des problématiques techniques.
Vous garantissez la qualité et la cohérence du code.
Vous assurez la capitalisation.
Vous animez la montée en compétence technique de l'équipe.
Vous coordonnez les développeurs en cohérence avec les contraintes de planning, de budget et de CAF.
Vous êtes le relais de l'équipe d'architecture et de sécurité au sein du pôle.
Vous concevez les solutions.
Vous développez les nouvelles fonctionnalités demandées (développement spécifique ou ETL).
Vous documentez les réalisations effectuées (spécifications fonctionnelles et techniques détaillées, manuels d'exploitation, etc).
Vous suivez le développement et apportez du support aux autres développeurs.
Vous réalisez les revues de codes ou réalisations livrés.
Vous accompagnez le métier dans l'appropriation des solutions mises en place.
Vous assurez le support niveau 3 (incidents fonctionnels et anomalies de production).

Qualifications

Titulaire d’un Bac+5 en Informatique ou dans un domaine équivalent.
Justifie d’au moins 6 ans d’expérience réussie dans un poste comparable.
Solide expertise en bases de données : Teradata, BigQuery, Hive, Impala.
Maîtrise avancée des technologies Big Data : Hadoop, SparkSQL.
Bonne expérience des solutions de streaming : RabbitMQ, Kafka, PubSub, Kubera.
Compétences confirmées en ETL, avec maîtrise des frameworks spécifiques et d’Informatica.
Excellente maîtrise de Linux et scripting Shell.
Maîtrise complète des outils DevOps, notamment Git et outils de déploiement spécifiques.
Connaissance des outils de DataViz comme Tableau et Dataiku.

Informations SuppléMentaires

Pourquoi rejoindre notre équipe ?

Un environnement dynamique et innovant, au sein d’une équipe passionnée par les technologies de données.
La possibilité de travailler sur des projets d’envergure, à la pointe des technologies cloud et Big Data.
Des opportunités d’évolution et de formation continue pour développer vos compétences.
Un cadre de travail flexible (mode Hybride) et des avantages attractifs.

","hiringOrganization":{"@type":"Organization","name":"SQLI","sameAs":"https://www.sqli.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Rabat, Rabat-Salé-Kénitra, Morocco","addressCountry":"Morocco","addressRegion":"Africa"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

DriveWealth is a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices.

Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.

We seek enthusiastic professionals to contribute diverse perspectives and experiences to our Brokerage-as-a-Service platform. Our culture blends the pace and opportunity of a tech start-up with the impact, stability, and significance of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. We value diversity and inclusion, celebrating the unique differences of our employees as we scale and grow together. We’re guided by operating principles grounded in accountability, teamwork, integrity, and solutions built to scale. Join us!

About The Role:

We are looking for a Senior Data Engineer who thrives on solving complex data problems, and enjoys working cross-functionally with product, engineering and analytics teams to deliver trusted, high-impact data solutions. The ideal candidate is excited to take ownership of complex data challenges and help evolve our data platform to the next stage of scale and maturity.

The Data & Analytics organization at DriveWealth powers the company’s data ecosystem end-to-end. Within it, the Data Platform Engineering team owns two critical pillars:

Data Ingestion - building reliable pipelines that bring data from diverse internal and external sources
Semantic Data Layer - creating curated, consistent and reliable datasets that enable analytics, reporting and decision making

What You’Ll Do:

Design, build and maintain robust data pipelines (batch, streaming and replication) that power analytics, reporting and compliance use-cases
Translate business needs into data solutions partnering with product managers, engineering teams and business stakeholders
Proactively identify challenges and opportunities, anticipate scaling, performance and quality needs before they become blockers
Establish and champion best practices, including documentation, code reviews and standards for data modelling, orchestration and tooling
Mentor and support other engineers, raising the bar for data engineering craft and helping grow team capabilities
Contribute to self-service data products, enabling data consumers with curated datasets, semantic layers and tools that accelerate insight generation

What You’Ll Need:

5+ years of professional experience in data engineering or related fields, with a track record of building and scaling data pipelines and platforms
Technical Skills:

Strong proficiency in Python and SQL
Hands-on experience with Spark (PySpark and SparkSQL) and distributed data processing
Expertise with orchestration and transformation tools (e.g. Airflow, DBT)
Proficiency with Databricks and cloud platforms (AWS preferred)
Familiarity with infrastructure as code (e.g.Terraform or equivalent)
Fluent in shell scripting and command line tooling (e.g. Databricks CLI)

Proven ability to work independently and cross-functionally with product, engineering and business teams
Experience working in teams with CI/CD pipelines, Git-based workflows and Agile methodologies
Curiosity, accountability and a drive to improve data quality, scalability and usability across the company
BS in Computer Science or equivalent

Nice To Have, But Not Required:

Fintech or capital market experience
Familiarity with regulatory and compliance-driven reporting (e.g. FINRA, GDPR)
Experience mentoring or coaching other engineers

Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor or take over sponsorship of an employment Visa at this time.

Compensation
Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.
Please note: this role is expected to come into our office on a cadence set by the Hiring Manager/Team.

New York, NY (Hybrid) Pay Range$150,000—$180,000 USD

Benefits

Competitive medical, dental, and vision insurance options
Mental health resources
Generous paid time off with observed holidays (varies per country)
Paid parental leave for biological and adoptive parents
Up to $2,500 or local equivalent each year to invest in continued education and personal development
Up to $900 each year or local equivalent for fitness and wellness reimbursement
Company-provided phone (varies by country)
For HQ in-office employees, a daily lunch stipend, unlimited snacks, and engaging office space in the Financial District
Pre-tax commuter benefits (US only)
Employer 401K match (US only)

Benefit offerings vary based on country and are subject to change.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

TO ALL AGENCIES: Please, no phone calls or emails to any employee of DriveWealth outside of the Talent organization. DriveWealth’s policy is to only accept resumes from agencies via Greenhouse (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of DriveWealth. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.

","hiringOrganization":{"@type":"Organization","name":"DriveWealth","sameAs":"https://www.drivewealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

Who We Are

CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country.

\n\n

We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few.

\n\n

Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low.

Join us on our journey… Let’s create something awesome, together, today.

\n\n

About The Role And Team:

\n\n

We’re looking for a Data Engineer to join our growing Data Practice. You’ll work as part of a multidisciplinary team delivering data solutions for some of the UK’s best-known brands. You’ll have a hand in everything from data ingestion and transformation to pipeline automation and data platform optimisation – always with a strong focus on quality, scalability, and value.

\n\n

What You'Ll Be Doing:

Designing, building and maintaining robust, cloud-native data pipelines
Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow
Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake
Implementing Lakehouse architectures using tools like Databricks or Snowflake
Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions

\n\n

We'd love to talk to you if:

You’ve got solid experience working with Python, SQL, Spar and data pipeline tools such as dbt or Airflow
You’re comfortable working across cloud platforms – especially AWS (Glue, Lambda, Athena), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery, Cloud Composer)
You have a good understanding of data modelling, data warehousing and performance optimisation
You care deeply about data quality, testing, and documentation
You enjoy solving real-world problems and collaborating with cross-functional teams
You’re comfortable in a consultancy setting, balancing hands-on delivery with client engagement

\n\n

What We'Ll Offer You:

At CreateFuture, we challenge ourselves to go beyond the obvious and we care deeply about our craft and customers. With us, you’ll have ambitious projects to sink your teeth into and plenty of opportunities to learn and grow. You’ll be part of our safe, supportive and friendly culture - that looks after you - and join our team of genuinely great people.

\n\n

Our Benefits Include:

Total 35 days holiday (we have flexible bank holidays)
Comprehensive private medical insurance
Enhanced parental and adoption leave
Pension - matched up to 5%

View our complete list of benefits here.

As this is a hybrid role, we’re looking for people within a commuting distance of our hub locations (Edinburgh/Leeds/Manchester/London) and who are flexible to travel to client sites and CreateFuture regional offices. We are very flexible and trust you to manage your own schedule to balance face-to-face time with clients, colleagues and working from home.

We create and reinforce a culture that rewards employees’ impact, not just activity. We trust our employees to work autonomously and promote ownership across all levels.

\n\n

Next Steps:

Our Talent team aims to respond to all applications within a reasonable timeframe, regardless of whether or not we progress your application.

Our Interview Process:

30-minute call with one of our Talent Acquisition Team.
1-hour competency-based interview
Take Home Task & Review
60-minute values-led interview.

\n\n

Our interview process is designed as an opportunity both for our interviewers to learn about your expertise, interests and motivations and for you to gain insights into the role, team and business as a whole, so throughout the process, you’ll meet a few people from our team as well as others from across the business to help you get a well-rounded view of the role and life at CreateFuture.

We believe that representative teams made up of people with different backgrounds, skills, and points of view help us build the best workplace possible, and enable us to create genuinely innovative, broadly useful products.

\n","hiringOrganization":{"@type":"Organization","name":"CreateFuture","sameAs":"https://hello.createfuture.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-22","description":"

As a Data Platform Engineer (Senior) with a focus on data engineering, you will design end-to-end architectures for data platforms. Instead of building individual ETL pipelines, you establish platforms on which teams can define their own pipelines. You focus on scalability, reliability and self-service and select suitable Azure tools.

Tasks & Responsibilities

You design end-to-end architectures, establish self-service platforms and implement governance and cost optimization standards. You select Azure technologies, conduct code reviews and coach the team. You will develop end-to-end data solutions on Azure - from source system connection to processing and provision of data for BI/AI applications. You will select and integrate the appropriate technologies and tools for our customers (e.g. streaming with Kafka/Event Hubs, storage in Azure Data Lake/Azure SQL, processing with Spark). Here you will implement our best practices for coding, testing and monitoring data pipelines to ensure reliability and scalability.

Establishes automated CI/CD workflows and monitors the operational processes (monitoring, alerting) of the platform.

You will work closely with customers and business stakeholders to gather requirements and translate them into technical solutions.

You are part of our pre-sales and consulting activities.

Requirements

5+ years of experience in data engineering / data platform development, including extensive practice on Microsoft Azure
Knowledge of data architectures, distributed data processing systems and cloud services (Azure Data Factory, MS Fabric, Databricks, Event Hubs etc.)
Experience in data security and governance - knows data protection requirements and implements access authorizations, encryption and compliance conformity
Soft skills: Leadership skills to technically lead a team, as well as clear communication skills with customers (including non-technical contacts).
Language skills: Very good knowledge of German and English.
Proven ability to achieve performance and cost optimization with large data volumes
Proficient in DevOps methods: continuous delivery of data pipelines, infrastructure-as-code (e.g. Terraform/Bicep) and containerized deployments.
Strategic thinking & consulting: Ability to translate business requirements into data architectures and advise clients.

","hiringOrganization":{"@type":"Organization","name":"paiqo GmbH","sameAs":"https://paiqo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote job"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"

As a Data Platform Engineer with a focus on data engineering, you will be responsible for building and operating modern data platforms. You will develop scalable data pipelines and ETL/ELT processes on Microsoft Azure to make large amounts of data from different sources usable

You develop stable batch and streaming pipelines with Azure Data Factory/Databricks on Microsoft Azure. Best practices such as Delta Lake, automated workflows and VNet-Securing ensure reliability. You will take responsibility for sub-projects in data integration, e.g. setting up a data path from operational systems in a data lakehouse. You will implement and optimize ETL/ELT routes (with Azure Data Factory, Databricks/Spark etc.) and ensure data quality. Use Azure data services for storage and processing (Data Lake, Azure SQL, Databricks, MS Fabric) efficiently. Participates in setting up CI/CD pipelines (Azure DevOps or GitHub) for automated deployments and collaborates closely with Data Scientists and Analytics teams to provide data for analytics and ML

Requirements

2-4 years of experience in data engineering or data platform development
Solid knowledge of SQL and programming (Python or Scala) as well as experience with Azure Data Services (e.g. Azure Data Factory, Azure Databricks, Synapse)
Familiarity with data modeling (e.g. Star Schema, Kimball) and data platform monitoring & performance optimization.
Experience in dealing with version management (Git) and DevOps practices (Continuous Integration, Infrastructure as Code).
Communication & Collaboration: Working with data scientists, analysts and clients and translating technical concepts for non-technical people
Problem solving & analytical thinking: You optimize data streams, identify bottlenecks and find creative solutions
Language skills: German fluent, English good.

","hiringOrganization":{"@type":"Organization","name":"paiqo GmbH","sameAs":"https://paiqo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote job"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Data Engineer Java Spark","datePosted":"2025-09-22","description":"

Description De L'Entreprise

Notre mission depuis 30 ans ? Être présent au bon moment !

Notre culture ? Oser et créer.

Description Du Poste

En tant qu'Ingénieur Data Java Spark, vous serez amené à :

- Participer au développement et à la mise en production de flux stream en Java ainsi qu’à des évolutions destinées aux équipes métiers, avec notamment :

Le développement de traitements batch en PySpark et stream en Java-Spark.
La réalisation de tests et la manipulation de données.
La mise en production des flux.
L’analyse et la correction de bugs.
Intervenir en support sur des incidents applicatifs concernant les flux Data gérés par l’équipe.
Gérer vos projets de bout en bout, depuis l’analyse des spécifications jusqu’à la livraison, tout en assurant les corrections nécessaires.
Réaliser des évolutions prioritaires sur les flux Data pour les métiers du Réseau, en :
Développant des traitements en Java Spark.
Respectant les jalons projets.
Livrant avec qualité et en réalisant les tests associés.
Optimisant les flux pour améliorer la consommation de ressources.
Portant un intérêt fort aux cas d’usage métier et à la compréhension des données.
Apportant du support aux utilisateurs.

Qualifications

Aayant un Bac+5 en Informatique ou domaine similaire.
Minimum 6 ans d’expérience dans un poste similaire.
Maîtrise avancée du langage Java, qui est le langage principal pour ce poste.
Bonne connaissance de Spark fortement souhaitée.
Connaissances en Python appréciées, notamment pour la rédaction de scripts.
Capacité à travailler de manière autonome sur ses projets tout en sachant collaborer efficacement avec ses collègues.
Excellentes compétences en communication orale et écrite, indispensables pour échanger au quotidien avec les équipes métiers.

Informations SuppléMentaires

Pourquoi rejoindre notre équipe ?

Un environnement dynamique et innovant, au sein d’une équipe passionnée par les technologies de données.
La possibilité de travailler sur des projets d’envergure, à la pointe des technologies cloud et Big Data.
Des opportunités d’évolution et de formation continue pour développer vos compétences.
Un cadre de travail flexible (mode Hybride) et des avantages attractifs.

","hiringOrganization":{"@type":"Organization","name":"SQLI","sameAs":"https://www.sqli.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Rabat, Rabat-Salé-Kénitra, Morocco","addressCountry":"Morocco","addressRegion":"Africa"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Data Engineer – Senior (REF4613Y)","datePosted":"2025-09-22","description":"

A CéG LeíRáSa

Ranked as Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

Az áLláS LeíRáSa

Project

In your future project you will directly work with our customer from the energy solution industry, dedicated to decarbonization of major industries in global economy. Together with the T-Systems International Data Intelligence Business unit team members you will join to an international team supporting our customer. A key focus will be the development of the existing analytics environment of our customer to explore, develop and orchestrate analytics, including simple rule-based models and machine learning algorithms.

Daily Tasks

Developing and maintaining data-centric applications using Python.
Monitoring and optimizing system performance and health, with a strong focus on using Datadog.
Creating efficient internal processes and collaborating with internal stakeholders to achieve project goals.
Applying DevOps practices, Test-Driven Development (TDD), and Clean Code principles in daily work.
Solving problems and effectively managing challenges related to system operations.

KéPzettséG

Bachelor or master’s degree in the following areas: Computer science, Engineering or Information Technology or equivalent work experience in IT
Strong experience with Python
Strong experience with Datadog
Experience with Pandas (for times series)
Candidates need good English written and oral skills.
AWS (use storage efficiently, deploy to the cloud)

Nice-To-Have Skills

Experience with NoSQL and SQL databases
Experience with GitLab
Knowledge of DevOps practices
Experience with version control systems (e.g. git)
Experience with Jenkins
Experience with data pipelines
Experience with SageMaker Notebooks
Experience with data-driven development
Experience with ELK stack and Grafana

TováBbi InformáCióK

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

","hiringOrganization":{"@type":"Organization","name":"Deutsche Telekom IT Solutions","sameAs":"https://www.deutschetelekomitsolutions.hu"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Budapest, Debrecen, Pécs, Szeged, Hungary","addressCountry":"Hungary","addressRegion":"Europe"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Lead SAP Data Engineer","datePosted":"2025-09-22","description":"At Equitable, our power is in our people. \n
\n
We're individuals from different cultures and backgrounds. Those differences make us stronger as a team and a force for good in our communities. Here, you'll work with dynamic individuals, build your skills, and unleash new ways of working and thinking. Are you ready to join an organization that will help unlock your potential? \n
\n
This role oversees data integration activities within our general ledger, financial products subledger, and peripheral systems. You'll join a technology group that's tightly coupled with our finance team to automate business processes and unlock capacity for enhanced analytics and new ideas. \n
\n
Key Responsibilities include, but are not limited to: \n
\n

Collaborate with business stakeholders to gather requirements and translate them into functional specifications.
Maintain comprehensive documentation of system configurations, processes, and data flows.
Lead the design, development, and deployment of new applications and system enhancements in partnership with finance teams.
Analyze existing financial processes to identify areas for improvement and recommend effective solutions.
Facilitate system testing, including the creation of test plans and coordination of User Acceptance Testing (UAT).
Provide mentorship and guidance to junior team members.
Offer ongoing support and troubleshooting for data-related issues across financial systems.

\n
\nLocation: This team member can work in the Syracuse, NY or Charlotte, NC offices on a hybrid schedule of being in office 2-3 days per week OR work fully remote. \n
\n
The base salary range for this position is $110,000 - $142,000. Actual base salaries vary based on skills, experience, and geographical location. In addition to base pay, Equitable provides compensation to reward performance with base salary increases, spot bonuses, and short-term incentive compensation opportunities. Eligibility for these programs depends on level and functional area of responsibility. \n
\n
For eligible employees, Equitable provides a full range of benefits. This includes medical, dental, vision, a 401(k) plan, and paid time off. For detailed descriptions of these benefits, please reference the link below. \n
\n
Equitable Pay and Benefits: Equitable Total Rewards Program\n
\nRequired Technical Skills: \n
\n

Advanced development experience with SAP Native HANA
Proficiency in Native HANA SQL
Expertise in Smart Data Integration (SDI) - Flowgraphs & Procedures
Experience with Smart Data Access (SDA)
Strong knowledge of Calculation Views and Analytic Views

\n
\nFunctional Knowledge & Reporting: \n
\n

Deep understanding of Financial Accounting for Life & Annuity Insurances
Experience in Ledger and Sub-Ledger Data Analysis

\n
\nPreferred Qualifications: \n
\n

Experience with SAP Analysis for Office, SAP BusinessObjects (BOBJ), and SAP Analytics Cloud (SAC)
Familiarity with Financial Product Subledger (FPSL)
Exposure to SAP BW for HANA
Working knowledge of ABAP and Core Data Services (CDS) Views

\n
\nSkills\n
\n
\nAgile Methodologies: Knowledge of concept and principles of agile methodology; ability to apply appropriate agile approaches in the processes of software development and delivery. \n
\n
\nApplication Design, Architecture: Knowledge of basic activities and deliverables of application design; ability to utilize application design methodologies, tools and techniques to convert business requirements and logical models into a technical application design. \n
\n
\nDocumentation Architecture and Design: Knowledge of documentation architecture and design; ability to build efficient processes, use appropriate tools and technique , and create complete documentation portfolios for software or technology products. \n
\n
\nSoftware Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements. \n
\n
\nSystem and Technology Integration: Knowledge of the features and facilities of systems; ability to integrate and communicate among applications, databases and technology platforms. \n
\n
\nTechnical Writing/Documentation: Knowledge of technical writing; ability to write technical documents such as manuals, reports, guidelines or documents on standards, processes and applications. \n
\n
\nABOUT EQUITABLE \n
\n
At Equitable, we're a team committed to helping our clients secure their financial well-being so that they can pursue long and fulfilling lives \n
\n
We turn challenges into opportunities by thinking, working, and leading differently - where everyone is a leader. We encourage every employee to leverage their unique talents to become a force for good at Equitable and in their local communities. \n
\n
We are continuously investing in our people by offering growth, internal mobility, comprehensive compensation and benefits to support overall well-being, flexibility, and a culture of collaboration and teamwork. \n
\n
We are looking for talented, dedicated, purposeful people who want to make an impact. Join Equitable and pursue a career with purpose. \n
\n
********** \n
\n
Equitable is committed to providing equal employment opportunities to our employees, applicants and candidates based on individual qualifications, without regard to race, color, religion, gender, gender identity and expression, age, national origin, mental or physical disabilities, sexual orientation, veteran status, genetic information or any other class protected by federal, state and local laws. \n
\n
NOTE: Equitable participates in the E-Verify program. \n
\n
If reasonable accommodation is needed to participate in the job application or interview process or to perform the essential job functions of this position, please contact Human Resources at (212) 314-2211 or email us at TalentAcquisition@equitable.com .","hiringOrganization":{"@type":"Organization","name":"Equitable","sameAs":"https://equitable.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Syracuse, New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Ingénieur en Données Géospatiales / Geospatial Data Engineer","datePosted":"2025-09-22","description":"

RéSumé

Nous développons un cadre d’autonomie complète qui permet aux drones de prendre des décisions de vol intelligentes à bord, sans intervention humaine. Notre plateforme combine une planification d’itinéraire tenant compte de la météo, un guidage en temps réel et une prise de décision embarquée afin de permettre aux opérateurs de déployer de véritables missions autonomes capables de s’adapter aux conditions changeantes en vol.

À propos du poste

Contribuez à bâtir l’infrastructure de données pour les opérations de drones autonomes. Vous travaillerez directement avec notre CTO afin de créer des systèmes de traitement géospatial permettant une prise de décision de vol intelligente.

ResponsabilitéS Principales :

Concevoir et développer des pipelines évolutifs de traitement de données géospatiales et des composants logiciels.
Développer des outils et algorithmes d’analyse SIG pour l’optimisation des itinéraires UAV.
Intégrer et traiter des ensembles de données géospatiales multi-sources (élévation, obstacles, espace aérien, météo).
Mettre en place des flux de travail automatisés pour l’ingestion et le traitement continus des données.
Créer des API et services pour l’analyse géospatiale en temps réel.

Qualifications :

IngéNierie GéOspatiale :

3+ années d’expérience dans le développement de composants logiciels SIG et de systèmes de traitement de données.
Maîtrise des outils et bibliothèques SIG de base (QGIS, GDAL/OGR).
Solide compréhension des systèmes de coordonnées, projections et structures de données spatiales.
Expérience avec les algorithmes géospatiaux (visibilité, analyse spatiale).

CompéTences Techniques :

Excellente maîtrise du développement en Python et de la pile scientifique (NumPy, Pandas, SciPy).
Expérience avec l’écosystème Python géospatial (GeoPandas, Rasterio, Xarray).
Connaissance du SQL et des bases de données géospatiales (ex. : PostgreSQL/PostGIS).
Aisance avec les infrastructures cloud (Google Cloud de préférence), les outils de conteneurisation (Docker) et le contrôle de version (Git).

Qualifications SouhaitéEs

Diplôme en SIG, informatique, ingénierie ou domaine connexe.
Connaissances en C/C++ pour le traitement géospatial critique en performance.
Expérience avec les formats de données météorologiques (NetCDF, GRIB) et les modèles météo.
Formation ou expérience en météorologie, sciences atmosphériques ou aviation.
Connaissances des concepts IA/ML appliqués aux données géospatiales (atout).

Vous avez une solide expertise en ingénierie des données géospatiales ? Nous voulons vous rencontrer ! Nous privilégions la capacité de résolution de problèmes et l’agilité d’apprentissage plutôt que la vérification de toutes les cases.

Note : Seules les personnes légalement autorisées à travailler au Canada seront considérées pour ce poste.

______________

Summary

We're building a full autonomy framework that enables drones to make intelligent flight decisions onboard, without human intervention. Our platform combines weather-aware route planning, real-time guidance, and onboard decision-making to allow operators to deploy truly autonomous missions that adapt to changing conditions in flight.

About The Role

Help us build the data backbone for autonomous drone operations. You'll work directly with our CTO to create geospatial processing systems that enable intelligent flight decision-making.

Key Responsibilities

Design and build scalable geospatial data processing pipelines and software components
Develop GIS analysis tools and algorithms for UAV route optimization
Integrate and process multi-source geospatial datasets (elevation, obstacles, airspace, weather)
Build automated workflows for continuous data ingestion and processing
Create APIs and services for real-time geospatial analysis

Required Qualifications

Geospatial Engineering:

3+ years building GIS software components and data processing systems
Proficiency with core GIS tools and libraries (QGIS, GDAL/OGR)
Strong understanding of coordinate systems, projections, and spatial data structures
Experience with geospatial algorithms (visibility, spatial analysis)

Technical Skills:

Strong Python development with scientific computing stack (NumPy, Pandas, SciPy)
Experience with geospatial Python ecosystem (GeoPandas, Rasterio, Xarray)
Familiarity with SQL and geospatial databases (e.g., PostgreSQL/PostGIS)
Comfortable with cloud infrastructure (Google Cloud preferred), containerization tools (Docker), and version control (Git).

Preferred Qualifications

Degree in GIS, Computer Science, Engineering, or related field
C/C++ for performance-critical geospatial processing
Experience with meteorological data formats (NetCDF, GRIB) and weather models
Background in meteorology, atmospheric science, or aviation
Knowledge of AI/ML concepts applied to geospatial data is a plus.

Strong foundation in geospatial data engineering? We want to hear from you! We value problem-solving ability and learning agility over checking every box.

Note: Only candidates who are legally entitled to work in Canada will be considered for this position.

","hiringOrganization":{"@type":"Organization","name":"Shearwater Aerospace","sameAs":"https://www.shearwater.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montréal, Québec, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Senior Data Engineer F/H","datePosted":"2025-09-22","description":"

Company Description

PréSentation De L’Agence

Une agence multi spécialiste de plus de 40 collaborateurs qui forment des communautés d’experts sur le Cloud & DevOps, la data et la gestion de projet. Devoteam Lille accompagne ses clients dans une transformation digitale durable. À l’agence de Lille, les consultants peuvent intégrer nos clubs happiness Running, Gastronomy, Raquettes, Basket, Foot, ou encore gaming.

PréSentation Entité

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.

Job Description

En tant que Data Engineer Senior, spécialisé(e) en Snowflake, vous serez au cœur des initiatives de transformation des données de nos clients à Lille. Vous apporterez votre expertise pour concevoir et déployer des solutions cloud-native hautement performantes. 🚀

La conception et l’implémentation d’architectures Data Lakehouse, en utilisant Snowflake comme plateforme principale pour la gestion et l’analyse des données. 🛠️
La création et l’optimisation de pipelines de données, en intégrant différentes sources hétérogènes tout en garantissant leur qualité et leur intégrité. 💻
La mise en œuvre des meilleures pratiques pour l’optimisation des performances Snowflake, notamment en termes de modélisation des données et de gestion des coûts. 🌐
L’élaboration de solutions d’intégration de données en temps réel avec des outils comme Kafka ou Talend, afin de répondre aux besoins des applications critiques. 📊
L’utilisation de DBT (Data Build Tool) pour la transformation des données et le développement de modèles analytiques, ou de Databricks pour gérer les charges de travail Big Data dans un environnement collaboratif. 🔧

Qualifications

Vous êtes titulaire d’un diplôme d’ingénieur ou d’un Master 2 en informatique et disposez d’au moins 5 ans d’expérience en tant que Data Engineer. 🎓
Vous possédez une expertise avancée en Snowflake, notamment en optimisation de requêtes SQL, gestion de charges de travail massives et automatisation des pipelines. 🤝
Vous maîtrisez les écosystèmes Big Data et Cloud (AWS, GCP ou Azure), ainsi que des technologies comme Python, Spark, Git, et des outils comme DBT ou Databricks. 💡
Vous avez une expérience confirmée dans des projets Agile/DevOps, avec une maîtrise des outils CI/CD et des environnements conteneurisés (Kubernetes, Docker). 🌍
Vous êtes à l’aise avec l’anglais professionnel, à l’oral comme à l’écrit. 🗣️
Une expérience avec des plateformes de visualisation (Tableau, Power BI) et des solutions ETL (Talend, Matillion) est un atout majeur. 🌟

Additional Information

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.

","hiringOrganization":{"@type":"Organization","name":"Devoteam","sameAs":"https://www.devoteam.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lille, Hauts-de-France, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Zero Trust Data Engineer - Sr. (4616) (TS/SCI) (Ft. Belvoir, VA)","datePosted":"2025-09-22","description":"

SMX is seeking a Senior Zero Trust Data Engineer to join a team of highly driven, supportive, and skilled professionals engaged in supporting clients across INSCOM programs. For this role, SMX is seeking a skilled professional to develop and manage distributed, parallel data processing pipelines that support Zero Trust (ZT) principles. This role involves end-to-end responsibility for critical data workflows, including establishing data connections, parsing and normalizing data, mapping and modeling structures, enriching datasets, and integrating with advanced data analytics platforms. The ideal candidate will have a strong background in scalable data engineering and a keen understanding of secure, reliable information handling in complex environments.

This is a full-time onsite position in Ft. Belvoir, VA.

Essential Duties & Responsibilities

Develop and manage distributed parallel data processing pipelines, which include but is not limited to processes such as establishing data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics, supporting ZT principles.
Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform. Handle all stages, including data connections, parsing, normalization, mapping, modeling, enrichment, and integration with analytics platforms.
Collaborate cross-functionally with software engineers, data scientists, intel analysts, and customers to ensure data processing pipelines meet military requirements.
Communicate clearly and effectively with teammates, customers, and external partners.
Prepare written and verbal communications on analyses, findings, and project progress.
Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material.
Collaborate with functional area Data Stewards and other ZT Pillars to explore data flow mapping tools.
Identify automated data tagging/labeling solutions and assist with market research to evaluate their capabilities, scalability, and alignment with organizational requirements.
Coordinate with Data Governance CME and Automation Pillar Lead, test integration of data and attribute-based access into Policy Decision Points (PDP) and Policy Enforcement Points (PEP).

Required Skills, Experience & Education

Active Top Secret (TS) security clearance with eligibility for SCI and NATO read-on before starting work.
Security+ certification
Master’s degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 8 years’ experience as a data engineer OR a bachelor’s degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 10 years’ experience as a data engineer.
8+ years’ experience in cybersecurity, systems engineering, or information technology, with significant project delivery for large, complex organizations.
8 years’ experience with distributed parallel streaming and batch data processing pipelines.
8 years’ experience with Python, Java, or other programming languages.
8 years’ experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC).
8 years’ experience with developing, operating, and maintaining data processing pipelines in a classified environment.
8 years’ experience integrating with data SDKs / APIs and data analytics SDKs / APIs.
8 years’ experience with data mapping, modeling, enriching, and correlating classified data.
8 years’ experience with the identification and duplication of data sources and record types to meet military requirements.
8 years’ experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab.
Meet all requirements to receive a privileged user (PU) account on a government information system prior to starting work. The requirements are currently defined in DoDD 8140.01.

Desired Skills/Experience

Experience integrating with Army Intel information systems and record types
Certified Information Systems Security Professional (CISSP)
Certified Information Security Manager (CISM)
Certified Data Management Professional (CDMP)
AWS Certified Security – Specialty or equivalent cloud certifications

\n\n

Application Deadline: October 20, 2025

#Cjpost

#Li-Onsite

\n\n\n

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.

The proposed salary for this position is:$138,800—$231,400 USD\n

At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is an Equal Opportunity employer including disabilities and veterans.

\n\n

Selected applicant may be subject to a background investigation and/or education verification.

","hiringOrganization":{"@type":"Organization","name":"SMX","sameAs":"https://www.smxtech.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Belvoir, VA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-09-22","description":"

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 support 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.

\n\n

Job Responsibilities

\n\n

You will collaborate with team members to design 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 apply different standard models for big data and create data models for at least one type of modeling technique.
You will incorporate data quality into your day-to-day work.

\n\n

Job Qualifications

\n\n

Technical Skills

\n\n

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 hands-on experience with Python, Spark si Snowflake.
You have awareness in building data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
You have knowledge of data visualization techniques and can communicate the insights as per the audience.
You are aware of data governance, security and privacy strategy to solve business problems.
You have experience with different types of databases (i.e.: SQL, NoSQL, 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 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

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.

\n\n

Job Responsibilities

\n\n

You will collaborate with team members to design 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 apply different standard models for big data and create data models for at least one type of modeling technique.
You will incorporate data quality into your day-to-day work.

\n\n

Job Qualifications

\n\n

Technical Skills

\n\n

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 hands-on experience with Python, Spark si Snowflake.
You have awareness in building data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
You have knowledge of data visualization techniques and can communicate the insights as per the audience.
You are aware of data governance, security and privacy strategy to solve business problems.
You have experience with different types of databases (i.e.: SQL, NoSQL, 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 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

#Li-Onsite

See here our AI policy.

","hiringOrganization":{"@type":"Organization","name":"Thoughtworks","sameAs":"https://www.thoughtworks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Madrid","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Engineer (Senior) ID40199","datePosted":"2025-09-22","description":"AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

- Design, build, and maintain large-scale data pipelines and data processing systems in AWS;
- Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies;
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions;
- Implement best practices for data governance, security, and compliance;
- Monitor, troubleshoot, and improve the performance of data systems and pipelines;
- Mentor junior engineers and contribute to building a culture of technical excellence;
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
- Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark(PySpark, Spark SQL, streaming);
- Strong SQL skills and experience with relational and NoSQL databases;
- Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
- Excellent problem-solving skills and ability to work in fast-paced environments;
- Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil/ ART time),
- Upper-Intermediate English level.

NICE TO HAVES

- Experience with real-time data streaming platforms (Kafka, Kinesis, Flink);
- Knowledge of containerization and orchestration (Docker, Kubernetes);
- Familiarity with data governance, lineage, and catalog tools;
- Previous leadership or mentoring experience.

PERKS AND BENEFITS

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

","hiringOrganization":{"@type":"Organization","name":"AgileEngine","sameAs":"https://agileengine.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Málaga, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Data Engineer (Senior) ID40199","datePosted":"2025-09-22","description":"AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

- Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
- Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
- Implement best practices for data governance, security, and compliance.
- Monitor, troubleshoot, and improve the performance of data systems and pipelines.
- Mentor junior engineers and contribute to building a culture of technical excellence.
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
- Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark(PySpark, Spark SQL, streaming);
- Strong SQL skills and experience with relational and NoSQL databases;
- Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
- Excellent problem-solving skills and ability to work in fast-paced environments;
- Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil/ ART time),
- Upper-Intermediate English level.

NICE TO HAVES

- Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Familiarity with data governance, lineage, and catalog tools.
- Previous leadership or mentoring experience.

PERKS AND BENEFITS

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

","hiringOrganization":{"@type":"Organization","name":"AgileEngine","sameAs":"https://agileengine.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ribeirão Preto, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Data Engineer (Senior) ID40199","datePosted":"2025-09-22","description":"AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

- Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
- Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
- Implement best practices for data governance, security, and compliance.
- Monitor, troubleshoot, and improve the performance of data systems and pipelines.
- Mentor junior engineers and contribute to building a culture of technical excellence.
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
- Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark(PySpark, Spark SQL, streaming);
- Strong SQL skills and experience with relational and NoSQL databases;
- Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
- Excellent problem-solving skills and ability to work in fast-paced environments;
- Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil/ ART time),
- Upper-Intermediate English level.

NICE TO HAVES

- Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Familiarity with data governance, lineage, and catalog tools.
- Previous leadership or mentoring experience.

PERKS AND BENEFITS

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

","hiringOrganization":{"@type":"Organization","name":"AgileEngine","sameAs":"https://agileengine.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"São José dos Campos, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Data Engineer (Senior) ID40199","datePosted":"2025-09-22","description":"AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

- Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
- Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
- Implement best practices for data governance, security, and compliance.
- Monitor, troubleshoot, and improve the performance of data systems and pipelines.
- Mentor junior engineers and contribute to building a culture of technical excellence.
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
- Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark(PySpark, Spark SQL, streaming);
- Strong SQL skills and experience with relational and NoSQL databases;
- Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
- Excellent problem-solving skills and ability to work in fast-paced environments;
- Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil/ ART time),
- Upper-Intermediate English level.

NICE TO HAVES

- Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Familiarity with data governance, lineage, and catalog tools.
- Previous leadership or mentoring experience.

PERKS AND BENEFITS

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

","hiringOrganization":{"@type":"Organization","name":"AgileEngine","sameAs":"https://agileengine.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fortaleza, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Senior/Lead Data Engineer","datePosted":"2025-09-22","description":"

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’Ll Do

Leadership & Capability Contribution

Contribute to the execution of the Data Engineering strategy and operating model, supporting client delivery, innovation, and engineering best practices
Lead and mentor a small, high-performing team of Data Engineers, DevOps Engineers, and Cloud Engineers (team size: ~3–8) within projects or a functional group
Foster a culture of technical excellence, collaboration, and continuous improvement within engineering teams

Technical Strategy, Architecture & Delivery

Lead the hands-on design and delivery of enterprise-scale, cloud-native data engineering solutions across:\n\n
Advocate for and implement modern data engineering patterns such as Data Mesh principles, DataOps, Event-Driven Architectures, and Serverless Pipelines
Collaborate closely with Architects, Data Governance, AI/ML, and Consulting teams to ensure solutions are aligned with security, performance, and business goals
Data Ingestion (batch, streaming, real-time)
Data Transformation (ETL/ELT, orchestration, compute frameworks)
Data Storage (Data Lakes, Lakehouse, Warehouses, NoSQL)
Data Consumption (APIs, BI tools, AI/ML platforms)

Engineering Standards, Tools & Automation

Drive the adoption of engineering best practices in coding, DevOps, CI/CD, and DataOps across project teams
Support the evaluation and application of modern tools and frameworks, including:\n\n
Champion the use of automation, monitoring, and testing frameworks to improve reliability and performance of data pipelines
Apache Spark, Databricks, Snowflake, BigQuery, Synapse, dbt, Kafka, Airflow, Fivetran, Informatica, Matillion
Cloud platforms (Azure, AWS, GCP) and Infrastructure as Code (Terraform, Pulumi)

Client Delivery & Project Leadership

Lead complex data engineering delivery within client engagements, ensuring technical excellence, scalability, and value realization
Contribute to the development of reusable assets and accelerators that enhance delivery efficiency and technical consistency
Support pre-sales and client discussions with technical expertise, helping shape solution designs and articulate value to stakeholders

What You Bring

8+ years of experience in Data Engineering, Big Data, or Cloud Data delivery, with 2–4+ years in technical leadership or team lead roles
Proven track record in:\n\n
Strong technical skills in:\n\n
Good understanding of:\n\n
Experience collaborating with architects, data scientists, and product owners to deliver end-to-end solutions
Delivering enterprise-scale data platforms, pipelines, and transformations
Leading small teams or squads within consulting or enterprise project settings
Data ingestion frameworks (e.g., Kafka, Event Hubs, Pub/Sub)
ETL/ELT tools (e.g., dbt, Spark, ADF, Glue)
Data storage platforms (e.g., Delta Lake, Snowflake, BigQuery, Synapse)Programming: Python, SQL, and optionally Scala or Java
Data modelling (dimensional, logical, physical)
Integration patterns (e.g., S2T mapping, batch, near real-time)
DevOps and CI/CD practices for data pipelines

Key Personal Attributes

Hands-on technical leader with a focus on delivery excellence
Passionate about engineering innovation and scalable solution design
Strong communicator and collaborator, able to engage both technical teams and business stakeholders
Committed to mentoring peers, sharing knowledge, and continuously improving delivery capability

English Level

Upper-Intermediate

Legal & Hiring Information

Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits At Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

","hiringOrganization":{"@type":"Organization","name":"Exadel","sameAs":"https://exadel.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bulgaria, Georgia, Hungary, Lithuania, Poland, Romania","addressCountry":"Bulgaria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior/Lead Data Engineer","datePosted":"2025-09-22","description":"\n

Why Join Exadel

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’Ll Do

Leadership & Capability Contribution

Contribute to the execution of the Data Engineering strategy and operating model, supporting client delivery, innovation, and engineering best practices
Lead and mentor a small, high-performing team of Data Engineers, DevOps Engineers, and Cloud Engineers (team size: ~3–8) within projects or a functional group
Foster a culture of technical excellence, collaboration, and continuous improvement within engineering teams

Technical Strategy, Architecture & Delivery

Lead the hands-on design and delivery of enterprise-scale, cloud-native data engineering solutions across:\n\n
Advocate for and implement modern data engineering patterns such as Data Mesh principles, DataOps, Event-Driven Architectures, and Serverless Pipelines
Collaborate closely with Architects, Data Governance, AI/ML, and Consulting teams to ensure solutions are aligned with security, performance, and business goals
Data Ingestion (batch, streaming, real-time)
Data Transformation (ETL/ELT, orchestration, compute frameworks)
Data Storage (Data Lakes, Lakehouse, Warehouses, NoSQL)
Data Consumption (APIs, BI tools, AI/ML platforms)

Engineering Standards, Tools & Automation

Drive the adoption of engineering best practices in coding, DevOps, CI/CD, and DataOps across project teams
Support the evaluation and application of modern tools and frameworks, including:\n\n
Champion the use of automation, monitoring, and testing frameworks to improve reliability and performance of data pipelines
Apache Spark, Databricks, Snowflake, BigQuery, Synapse, dbt, Kafka, Airflow, Fivetran, Informatica, Matillion
Cloud platforms (Azure, AWS, GCP) and Infrastructure as Code (Terraform, Pulumi)

Client Delivery & Project Leadership

Lead complex data engineering delivery within client engagements, ensuring technical excellence, scalability, and value realization
Contribute to the development of reusable assets and accelerators that enhance delivery efficiency and technical consistency
Support pre-sales and client discussions with technical expertise, helping shape solution designs and articulate value to stakeholders

What You Bring

8+ years of experience in Data Engineering, Big Data, or Cloud Data delivery, with 2–4+ years in technical leadership or team lead roles
Proven track record in:\n\n
Strong technical skills in:\n\n
Good understanding of:\n\n
Experience collaborating with architects, data scientists, and product owners to deliver end-to-end solutions
Delivering enterprise-scale data platforms, pipelines, and transformations
Leading small teams or squads within consulting or enterprise project settings
Data ingestion frameworks (e.g., Kafka, Event Hubs, Pub/Sub)
ETL/ELT tools (e.g., dbt, Spark, ADF, Glue)
Data storage platforms (e.g., Delta Lake, Snowflake, BigQuery, Synapse)Programming: Python, SQL, and optionally Scala or Java
Data modelling (dimensional, logical, physical)
Integration patterns (e.g., S2T mapping, batch, near real-time)
DevOps and CI/CD practices for data pipelines

Key Personal Attributes

Hands-on technical leader with a focus on delivery excellence
Passionate about engineering innovation and scalable solution design
Strong communicator and collaborator, able to engage both technical teams and business stakeholders
Committed to mentoring peers, sharing knowledge, and continuously improving delivery capability

English Level

Upper-Intermediate

Legal & Hiring Information

Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits At Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision

Minimum Qualifications:

Preferred Qualifications:

About The Job

Responsibilities

Role Overview:

Key Responsibilities:

Data Pipeline Development & Etl:

Ai Experience (Project-Based):

Sdlc Awareness:

Collaboration & Communication:

Required Qualifications:

Experience:

Technical Skills:

Soft Skills:

Preferred Qualifications:

Industry Experience:

Why Join Wtw?

DescripcióN De La Empresa

#TecnologíAcreativaparaunmejorcambio

DescripcióN Del Empleo

Responsabilidades:

Requisitos:

Deseable:

Condiciones:

InformacióN Adicional

You Will:

Company Description

Our Story

Working At Ollion

The Ollion Difference

Job Description

Key Responsibilities:

Additional Responsibilities:

Qualifications

Additional Information

And More!

Diversity At Ollion

Responsibilities:

Experience:

Benefits:

Company Description

Job Description

What You’Ll Do:

Qualifications

What We’Re Looking For:

Additional Information

Why Work For Sgs?

Company Description

Why Join Us?

Job Description

Collaboration & Communication

Documentation & Governance

Performance & Optimisation

Qualifications

Essential:

Desirable:

Additional Information

#Lendigroup #Li-Gr2 #Li-Hybrid

Deine Rolle

Dein Profil

Was Dir Bei Uns Besonders Gefallen Wird

ÜBer Capgemini

Requisitos:

About Ntt Data

Job Description

Key Responsibilities

Cloud Platform Engineering

Data Pipeline Development

Performance & Reliability

Collaboration & Support

Experience Required:

What You’Ll Love About Working Here

Company Overview

Requirement:

The Opportunity

Learn More:

What You'Ll Do

What You Need To Succeed

About Dana

What You Will Do:

Set your job search on autopilot

Data Engineer Jobs

Data Engineer, Global YouTube Marketing

Azure Data Engineer

Data Engineer GCP - Sector Bancario

Staff Data Engineer

Senior Data Engineer – Microsoft Fabric & Azure

Data Engineer, Driver Team

Field Data Engineer

Data Engineer

(Senior) Data Engineer (Databricks/Snowflake) (m/w/d)

Senior Data engineer

FID Federal Risk Applications Data Engineer

Senior Platform Data Engineer - Azure Databricks

Data Engineer

Senior Big Data Engineer, Adobe Experience Platform

[DID] Data Engineer

Data Engineer- 12 month Max Term Contract

Senior Data Engineer - Data Science

HR Analytics & Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer - Tooling

Data Engineer

Data Engineer II, Banking

Data Engineer

Data Engineer (East Coast Remote)

Cloud Data Engineer

Data Engineer, Data Lake

Data Engineer, Global Operations Analytics and Technology

Data Engineer, Global Operations Analytics and Technology

AI Data Engineer

Data Engineer

Senior Data Engineer (Teradata, SQL, BigQuery)

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer

Data Engineer Java Spark

Data Engineer – Senior (REF4613Y)

Lead SAP Data Engineer

Ingénieur en Données Géospatiales / Geospatial Data Engineer

Senior Data Engineer F/H

Zero Trust Data Engineer - Sr. (4616) (TS/SCI) (Ft. Belvoir, VA)

Data Engineer

Data Engineer

Data Engineer (Senior) ID40199

Data Engineer (Senior) ID40199

Data Engineer (Senior) ID40199

Data Engineer (Senior) ID40199

Senior/Lead Data Engineer

Senior/Lead Data Engineer