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About The Role

Vantage is looking for its next Senior Data Engineer to join our Measurement team. Our Measurement team is focused on enhancing the Insights Explorer feature of our platform, enabling the organizations we partner with to easily transform their retail media data into actionable insights.

As a Senior Data Engineer, you’ll play a pivotal role in designing the data infrastructure that’s used to collect, process and analyze our massive data set. You’ll use a variety of cutting edge technologies to push the boundaries of what’s possible with real-time data and batch processing at scale.

Minimum Requirements

5+ years of experience working in data engineering, big data, and/or distributed systems for SaaS (Software as a Service) products.
Proficiency with Python, Django, and SQL.
Hands-on experience using Snowflake to build ETL/ELT pipelines, data-warehousing, and analysis.
Hands-on experience using Great Expectations to test and validate data quality, (or a similar data testing tool).
Hands-on experience with data modelling, data warehousing, and distributed systems.
Experience with privacy-compliant data processing (GDPR, CCPA) for advertising/retail media use-cases.
Track record of successful collaboration with other engineering and product teams.
Familiarity with how to manage real-time streaming data using tools such as Kafka, Kinesis, and/or Pub/Sub.
Bonus: Hands-on experience with data lakes, as well as ML (Machine Learning) pipelines.

Role Responsibilities

Lead architectural conversations and guide the development of our data infrastructure to ensure the availability of high-quality, trustworthy data.
Oversee the processing and transformation of data within our systems, and ensure proper data hygiene is maintained for downstream applications.
Write maintainable Python code to deliver high-quality, scalable data management solutions.
Document new and existing features clearly and effectively to support team alignment and aid in future development.
Coach and develop the broader Measurement team to raise collective capability and drive long-term team growth.
Communicate with stakeholders across the organization to align expectations and ensure transparency regarding data infrastructure and management.

About Vantage
Vantage is the first unified platform purpose-built for retail media orchestration, empowering enterprise retailers to seamlessly activate onsite, offsite, and in-store advertising. With a global presence in North America and Asia-Pacific, Vantage enables retailers to launch and grow their media networks through scalable technology and automated workflows, and is trusted by leading retailers like The Home Depot to power their retail media programs.

For a closer look at what we do, our culture, and our benefits, check out our about us and careers pages.

Remote-First, Based in Toronto
Vantage is proudly headquartered in Toronto, but we’re a remote-first team spread across North America (and beyond). Our flexible work philosophy means team members can thrive from wherever they do their best work—whether that’s from a home office, a local café, or while adding stamps to their passport. With a remote-friendly setup, home office support, and annual company retreats, we stay connected, collaborative, and energized—no matter the time zone.

Vantage’s Commitment to Diversity, Equity, and Inclusion

Vantage Analytics is fueled by the diversity of our talented employees. We are an equal opportunity employer and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage all individuals to apply for positions that fit their passions.

We promote equality and strive to provide all current and prospective employees with support and opportunities. Reasonable accommodations are available to job applicants on request and throughout the application process.

How Vantage Uses AI in the Recruitment Process

Vantage makes use of several AI-enabled tools that aid us in the hiring process. These tools exclusively take the form of AI meeting notetakers, and the AI assistant in our Applicant Tracking System, Ashby. They allow us to record, organize and summarize the various details and data points we collect during the hiring process, without losing the context in which they were originally provided. Neither the AI meeting notetakers nor Ashby's AI assistant make decisions about your candidate status.

All hiring decisions at Vantage are made by a team of collaborative, hard-working, human beings. We might use AI to speed up your process and to help keep it organized, but ultimately who we invite to work at Vantage is a decision we only trust ourselves to make.

What's Next?
We thank all applicants in advance for their interest in this position, however, only those selected for an interview will be contacted.

As part of the final stages of our hiring process, all candidates will be required to successfully complete a criminal background check.

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Company Overview

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.

Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.

This is a hybrid role (3 days in the office/2 days remote).

About Your Team:

Our Financial Crimes Surveillance team seeks a Senior Data Engineer to play a critical role in protecting the financial system. You'll architect, implement, optimize, and maintain sophisticated data pipelines that power real-time and batch surveillance models that pinpoint fraud, market manipulation, and money laundering across our platform.

The Scale & Impact:

Process 1+ billion order events and 5+ million trades daily
Protect 3.5+ million client accounts
Direct impact on financial security and regulatory compliance

What will be your responsibilities within IBKR:

Data Architecture & Stewardship\n\n
Cross-Functional Partnership\n\n
Technical Excellence\n\n
Innovation & Optimization\n\n
Own and curate dozens of mission-critical datasets that drive surveillance operations.
Design, build, and automate robust data pipelines supporting real-time and batch processing.
Develop advanced data quality frameworks to proactively identify issues before they impact operations.
Collaborate with quantitative engineers and surveillance model developers to translate complex business requirements into scalable data solutions.
Transform high-level surveillance concepts into production-ready processes that deliver actionable insights.
Build an analytical infrastructure enabling seamless data exploration and visualization
Optimize data architectures and databases for maximum performance and reliability
Create developer tooling that accelerates pipeline development and monitoring
Ensure data accuracy, security, and compliance with regulatory standards
Continuously enhance system reliability, performance, and efficiency
Load and format datasets for optimal consumption by quantitative researchers and ML models
Drive best practices in data governance and privacy protection

Which Skills Are Required:

5+ years of professional software engineering with a focus on data pipeline development (Python or Java)
3+ years of production Python experience beyond scripting
Expert-level proficiency in Pandas or Polars
1-3 years of hands-on Linux systems experience
Deep understanding of databases and SQL optimization
Bachelor's or master's degree in computer science or a related technical field

Preferred Qualifications:

Financial services or fintech background
Proficiency in C++ or Java
Advanced degree (Master's/PhD)

To be successful in this position, you will have:

Self-motivation and able to handle tasks with minimal supervision.
Superb analytical and problem-solving skills.
Excellent collaboration and communication (Verbal and written) skills.
Outstanding organizational and time management skills.

Company Benefits & Perks

\n\n

Competitive salary, annual performance-based bonus and stock grant
Retirement plan 401(k) with competitive company match
Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium.
Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP)
Paid time off and a generous parental leave policy
Daily company lunch allowance provided, and a fully stocked kitchen with healthy options for breakfast and snacks
Corporate events, including team outings, dinners, volunteer activities and company sports teams
Education reimbursement and learning opportunities
Modern offices with multi-monitor setups

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Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato’s AI/ML-driven platform leverages deep reinforcement learning to help insurance companies optimize the portfolio of risks they insure, allowing them to continue to provide fair and equitable pricing in difficult-to-price areas. Our category-defining ‘RiskOps’ solution drives better underwriting decisions by operationalizing underutilized data investments and surfacing real-time risk and portfolio insights. We focus on putting insurance underwriters back in the driver’s seat, helping them meet their goals while providing an important service to society.

Role Overview
You’ll be joining a small, high-impact data engineering team within Federato’s AI/ML organization. Our focus is on building the infrastructure and internal frameworks that empower machine learning engineers to develop, deploy, and iterate on AI-powered features ranging from prompt-based LLM workflows to more traditional model-driven systems. We collaborate closely with ML, analytics, and product teams to ensure data and tooling are reliable, scalable, and aligned with the needs of our AI-native platform.

What You'Ll Be Doing:

Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
Contribute to architecture decisions, observability tooling, and data quality initiatives that keep our platform robust and maintainable.
Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows.
Enforce and elevate engineering best practices across the AI/ML org, including code quality, testing, and documentation.

Who We Hope You Are:

5+ years of experience in data engineering, backend engineering, or related roles with a focus on data infrastructure.
Proven experience designing and maintaining scalable data pipelines (e.g., using Airflow, Dagster, or Prefect).
Experience with software development practices like version control, CI/CD, or dbt testing strategies.
Strong proficiency in SQL and Python, with bonus points for Typescript (or similar) experience
Comfort working with version control, CI/CD systems, and cloud infrastructure (e.g., AWS, GCP, Terraform).
Comfortable navigating ambiguity and working closely with business stakeholders to understand their data needs.
Proven track record of designing high-impact data products and pipelines in fast-paced environments.

Bonus Points For:

Prior experience working in or adjacent to insurance, fintech, or risk modeling domains.
Prior exposure to ML ops or experience supporting AI/ML-driven products
Enthusiasm for building internal tools or frameworks to improve team velocity.
Contributions to open-source data tools or involvement in the data community.

$160,000 - $180,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks.

Here at Federato, your capabilities are important, but culture fit is quintessential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you!

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, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities 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 at talent@federato.ai

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About Donorbox

Donorbox is a leading fundraising platform and donor management system for nonprofit organizations. Our mission is to accelerate positive impact worldwide by helping nonprofits become highly effective at raising funds and managing their supporter base. Since 2014, we have powered more than 100,000 global organizations to close to $3B in donations. 🚀

Our fast-growing company is profitable and bootstrapped with a healthy run rate. We have a fully distributed and diverse 150-person team based in 16+ states and 23+ countries.

🏅Donorbox is rated the #1 software for fundraising, donor management, and nonprofit payment on G2 based on hundreds of verified customer reviews. We're proud of what we do, and our product reflects it!

The Role

\n\n

Donorbox is seeking a motivated Senior Data Engineer to join our growing team. In this role, you’ll take ownership of building and maintaining the data infrastructure that drives analytics and informs key business decisions. You’ll transform raw data into actionable insights, solve complex technical challenges, and help shape the future of our data systems. If you’re passionate about data, thrive in a collaborative environment, and enjoy making an impact, we want to hear from you.

\n\n

Responsibilities

Develop and Maintain Data Pipelines: Design, build, and optimize robust ETL/ELT workflows using SQL, Python, dbt, and Airflow to ingest and process data from various sources.
Design and Optimize Data Models: Create and refine data models, primarily within PostgreSQL, ensuring they are efficient, scalable, and support our analytical and reporting needs.
Ensure Data Quality and Usability: Cleanse, transform, and structure data to ensure accuracy, consistency, and a format suitable for analysis and reporting.
Mentor and Collaborate: Serve as a technical leader, mentoring junior engineers and promoting best practices in coding, data modeling, and system design. You’ll also work closely with data analysts and business stakeholders to translate business needs into technical requirements.
Build Reporting Foundations: Support the creation of summary tables and enhance database models to provide Data Analysts with ready-to-use data for their work.
Document Everything: Maintain clear and concise documentation for data systems, pipelines, data flows, and schemas, making it easy for others to understand and utilize our data assets.
Deploy Data Products: Help deploy datasets, reports, and dashboards to Superset for wider consumption.
Practice Software Engineering Excellence: Follow best practices in software development, including version control, testing, and modular code design.
Work in an Agile Environment: Operate effectively within our agile development framework, contributing to continuous improvement and quick iterations.
Present and Gather Feedback: Engage with stakeholders to present completed data products and gather valuable feedback for further iterations.
Own the Solution: Take ownership of complex data problems from start to finish, from identifying the root cause to implementing a production-ready solution.
Conduct regular performance audits on existing data pipelines, databases, and dashboards, and implement optimizations.

\nQualifications & Experience\n

\nExperience: 5+ years of hands-on experience in a Data Engineering role, with a proven track record of building and managing production data systems.\n
\nTechnical Proficiency:\n\n\n\n
\nSoftware Engineering Principles: A solid understanding of core software engineering principles, including modular code design, testing, and version control (e.g., Git).\n
\nProblem-Solving Skills: The ability to think critically, solve complex problems independently, and drive projects to completion.\n
\nCommunication: Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.\n
\nAgile Experience: Experience working in an agile development environment.\n
Strong proficiency in SQL, Python, dbt, and Airflow.
Extensive experience with PostgreSQL or similar relational databases (e.g., MySQL, Oracle).
Familiarity with Superset or other visualization tools like PowerBI and Tableau

Bonus Points

Experience working with Ruby.
Experience in the nonprofit or fundraising technology sector.
Experience with SaaS.

Details

Fully remote based in Latin America
Salary: $45k-$60k USD, based on experience and location

Benefits & Perks

Fully remote work from the comfort of your home
Eligibility for employee equity plan (stock options)
Reimbursement package for home office expenses and professional development, up to $1.5k
Health insurance premium reimbursements, up to 75% for you and your family
Generous time off policy of 21 days (birthday included 🎉), 8 holidays of your choice, and 2 paid volunteer days
Wellness program with fitness and mindfulness classes
Love your work and our mission of serving nonprofits!

The Application Process

We Have 5 Stages:

Apply here and fill out our questions to tell us about you!
Prescreen Call with the Talent team
Technical Interview with Hiring Manager
Panel/Final Interview
Background + Reference Checks

If this sounds like the right role for you, please apply today and let us know why. We look forward to hearing from you!

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Company Description

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

Job Description

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

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

Let’S Talk!

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

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

What You’Ll Do:

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

Nice To Have:

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

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

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

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

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

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

Qualifications

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

Additional Information

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

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

","hiringOrganization":{"@type":"Organization","name":"Delivery Hero","sameAs":"https://www.deliveryhero.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Athens, Greece","addressCountry":"Greece","addressRegion":"Europe"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"(1226) Senior Data Engineer","datePosted":"2025-09-19","description":"

Explore the Nearsure experience!

🌐 Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.

🍃 Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values.

⚖️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.

Ready to grow with us? 🚀

Here’s what we offer you by joining us!

✨ Competitive USD salary 💲 – We value your skills and contributions!

🌐 100% remote work 🏢 – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!

💼 Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!

🎉 National Holidays celebrated 🌴 – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.

😷 Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.

💸 Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance!

🤝 Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community.

🥳 Birthday day off 🎂 – Enjoy an extra day off during your birthday week to celebrate in style with friends and family!

About the project

As a Senior Data Engineer, you will work with modern data technologies such as Apache Spark (PySpark or Spark), Apache Iceberg, and AWS services (S3, EMR, Athena, Glue), ensuring data quality, scalability, and operational excellence. Familiarity with orchestration tools (Airflow), CI/CD practices, and the ability to leverage AI-powered development assistants (e.g., GitHub Copilot) is essential.

How your day-to-day work will look like

✅ Design, develop, and maintain batch ETL/ELT pipelines and data workflows for large-scale datasets in AWS.
✅ Implement and optimize data lakehouse architectures using Apache Iceberg on S3, ensuring schema evolution, partitioning strategies, and table maintenance.
✅ Build and tune distributed data processing jobs with Apache Spark (PySpark or Spark) for performance and cost efficiency.
✅ Orchestrate workflows using Apache Airflow, including DAG design, scheduling, and SLA monitoring.
✅ Apply best practices in code quality, version control (Git/GitHub), and CI/CD for data engineering projects.
✅ Ensure data quality, security, and compliance through validation, monitoring, and governance frameworks (Glue Catalog, IAM, encryption).
✅ Collaborate with cross-functional teams (data scientists, analysts, architects) to deliver scalable and reliable data solutions.
✅ Contribute to the development and optimization of analytics applications, ensuring they are powered by well-structured, high-quality data pipelines.
✅ Continuously evaluate and adopt emerging technologies and AI-powered tools to improve productivity and maintain technical excellence.

This would make you the ideal candidate

✨ Bachelor's Degree in Computer Science, Engineering, or a related field.
✨ 5+ Years of experience working in data engineering, designing and developing large-scale data solutions.
✨ 5+ Years of experience working with Python for data manipulation, scripting, and integration tasks.
✨ 5+ Years of experience working with SQL & DBMS (e.g., PostgreSQL, MySQL, SQL Server), data modeling (Star Schema, Snowflake Schema) and query tuning and optimization.
✨ 3+ Years of experience working with Apache Spark (PySpark preferred).
✨ 3+ Years of experience working building batch ETL/ELT pipelines for large‑scale datasets.
✨ 3+ Years of experience working with AWS data services (S3, Athena/Presto, Glue, Lambda, CloudWatch) in production.
✨ 2+ Years of experience working with Apache Iceberg (table design, partition strategies, schema evolution, maintenance, ingestion pipelines into Apache Iceberg on S3).
✨ 2+ Years of experience working with AWS EMR as the execution platform for big data workloads.
✨ 2+ Years of experience working with orchestrating data workflows with Apache Airflow (DAG design, scheduling, backfills, SLAs).
✨ 2+ Years of experience using Git/GitHub (branching strategies, Pull request reviews, CI/CD for data pipelines).
✨ Experience designing efficient ingestion pipelines into analytical systems.
✨ Proficiency in logging, auditing, and monitoring for data pipelines.
✨ Experience with data cleansing, validation, and transformation for analytical/reporting systems.
✨ Familiarity with data security and privacy practices.
✨ Solid understanding of cloud-native analytics architectures (data lake/lakehouse, ELT patterns).
✨ Proven ability to leverage AI-powered assistants (e.g., GitHub Copilot, AI coding agents) as part of the engineering workflow, demonstrating comfort and efficiency in using these tools to accelerate delivery and maintain code quality.
✨ Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

What to expect from our hiring process

1. Let’s chat about your experience!
2. Impress our recruiters, and you’ll move on to a technical interview with our top developers.
3. Nail that, and you’ll meet our client - your final step to joining our amazing team!

🎯 At Nearsure, we’re dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team!

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.

Let’s work together to shape the future of technology!

🧑‍💻 Apply Now!

By applying to this position, you authorize Nearsure to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy.

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Company Description

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

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

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

Job Description

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

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

Qualifications

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

Additional Information

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

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

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

","hiringOrganization":{"@type":"Organization","name":"Enpal B.V.","sameAs":"https://www.enpal.de"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, BE, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Data Engineer - 6 Month Contract","datePosted":"2025-09-19","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":9,"item":{"@type":"JobPosting","title":"Senior Data Engineer - 6 Month Contract","datePosted":"2025-09-19","description":"

Who We Are

\n\n

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

\n\n

About The Role And Team:

\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:

As this is a hybrid role, we’re looking for people within a commuting distance of our hub locations (Edinburgh or 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

\n\n

\n","hiringOrganization":{"@type":"Organization","name":"CreateFuture","sameAs":"https://hello.createfuture.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edinburgh","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-19","description":"

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections.

Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.

About The Role

The Senior Data Warehouse Engineer designs, implements, and maintains enterprise data warehouse solutions. Acting as a technical leader on complex projects, this role drives systematic improvements across the data ecosystem, ensures adherence to governance standards, and partners with business and technical teams to deliver scalable, AI-ready solutions.

Minimum Qualifications

Education: Tech in CS, Engineering, IS, or related field
Experience:\n\n
8+ years in data engineering, warehousing, or platform engineering
6+ years with cloud data platforms (Snowflake preferred, Databricks, AWS)
5+ years leading technical projects and initiatives
3+ years with IaC tools (Pulumi, Terraform)

Technical Skills:

Python (advanced), SQL & dbt (YAML contracts, macros, semantic models)
ETL/ELT, batch/stream processing, ingestion pipelines (Fivetran, CDC, Snow pipe), orchestration (Airflow/MWAA)
Data observability (freshness, anomaly detection), validation, and governance (PII tagging, RBAC, Atlan)
Snowflake advanced features (Snowpark, Streams, Tasks, Data Sharing, Dynamic Tables)
CI/CD, DevOps, automated testing, version-controlled workflows
Data modeling (dimensional, star schema, bronze/silver/gold layers)
SQL optimization & performance tuning at enterprise scale
Other: Agile methodologies, project management tools (JIRA, Azure DevOps), technical debt assessment, stakeholder communication, mentoring experience.

Preferred Qualifications

MLOps platforms (MLflow, SageMaker)
FinOps and cloud cost optimization
Advanced Atlan usage (catalog & lineage)
Data mesh & decentralized architectures
Real-time streaming and event-driven systems

Principal Duties & Responsibilities

Lead complex, cross-team projects; manage timelines, risks, and dependencies
Design and implement DBT models (bronze/silver), ensuring semantic consistency and contract adherence
Build version-controlled transformation logic with data quality & observability frameworks
Architect scalable cloud data warehouse solutions; evolve platform tooling ecosystem
Own and optimize ingestion pipelines (Fivetran, CDC, Snowpipe) and ETL/ELT frameworks
Drive performance, reliability, and cost-effectiveness across environments
Collaborate with squads to scale data marts and enable AI-readiness
Deploy and manage cloud data infrastructure via IaC with financial accountability
Implement CI/CD workflows, cost monitoring, and optimization strategies
Establish governance processes (PII tagging, RBAC, lineage, compliance)
Identify and resolve technical debt, champion modernization and engineering excellence
Support EDW maturity by enhancing observability, contracts, and AI enablement
Evaluate emerging technologies and promote best practices across teams

Have We Piqued Your Curiosity?

Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.

Playlist is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.

By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at Playlist, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable).

Note: This description outlines key responsibilities but isn’t intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

","hiringOrganization":{"@type":"Organization","name":"Mindbody","sameAs":"https://www.mindbodyonline.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Data Engineer Fabric","datePosted":"2025-09-19","description":"

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

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

Requisitos TÉCnicos

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

Valoramos Adicionalmente:

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

Responsabilidades

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

Beneficios

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

🚀 ¿Por qué unirte a Logicalis Spain?

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

¿Aceptas El Reto?

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We are seeking a talented and experienced Data Engineer to join our team at Provectus. As part of our diverse practices, including Data, Machine Learning, DevOps, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers. You will encounter numerous technical challenges and will have the opportunity to contribute to the internal solutions, engage in R&D activities, providing an excellent environment for professional growth.\n

Responsibilities:

5+ years of experience in data engineering;
Experience in AWS;
Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.;
Proficiency in programming languages relevant to data engineering, such as Python and SQL;
Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation;
Experience in building scalable APIs;
Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization;
Upper-Intermediate or higher English skills;
Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings.

Nice To Have:

Experience with Cloud Data Platforms (e.g., Snowflake, Databricks);
Experience in building Generative AI Applications (e.g., chatbots, RAG systems);
Relevant AWS, GCP, Azure, Databricks certifications;
Knowledge of BI Tools (Power BI, QuickSight, Looker, Tableau, etc.);
Experience in building Data Solutions in a Data Mesh architecture.

Responsibilities:

Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals;
Collect and manage large volumes of varied data sets;
Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products;
Define data models that integrate disparate data across the organization;
Design, implement, and maintain ETL/ELT data pipelines;
Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently;
Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI.

What You'Ll Get:

Long-term B2B collaboration;
Paid vacations and sick leaves;
Public holidays;
Compensation for medical insurance or sports coverage;
External and Internal educational opportunities and AWS certifications;
A collaborative local team and international project exposure.

","hiringOrganization":{"@type":"Organization","name":"Provectus","sameAs":"https://provectus.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Belgrade","addressCountry":"Serbia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Vice President, Senior Data Engineer","datePosted":"2025-09-19","description":"

Senior Data Engineer

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

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

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

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

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

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

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

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

Bny Newsroom

Bny Linkedin

Here’s a few of our recent awards:

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

Our Benefits And Rewards:

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

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

","hiringOrganization":{"@type":"Organization","name":"BNY","sameAs":"https://www.bny.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-19","description":"

This is us

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

This is you

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

This is your role

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

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

","hiringOrganization":{"@type":"Organization","name":"Qinshift","sameAs":"https://www.qinshift.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kraków, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-19","description":"

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

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

\n\n

Job Responsibilities

\n\n

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

\n\n

Job Qualifications

\n\n

Technical Skills

\n\n

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

\n\n

Professional Skills

\n\n

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

\n\n\n

Other Things To Know

\n\n

Learning & Development

\n\n

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

\n\n\n

About Thoughtworks

\n\n

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

\n\n

#Li-Onsite

See here our AI policy.

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Responsibilities

Build a universal data platform, meet real-time/offline computing and storage requirements;
Define the data pipeline scheme according to the demand scenarios, and deliver it by multiple methods based on various infrastructure;
Enhance the data platform, improve the stability and flexibility of data asset, and optimize the resource efficiency.

Requirements

Bachelor degree or above, major in computer, big data, mathematics, and more than 3-5 years of data development experience;
Familiar with Hadoop, Spark, Flink, Airflow and other popular data platform components, understand the working principle of them, and have optimization experience about these components;
Have a certain understanding of distributed system principles, calculations, and storage;
Good communication and logical thinking skills, good self-drive, continuous learning and updating knowledge system;

Life @ Crypto.com Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.Transformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions.Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet. Are you ready to kickstart your future with us? Benefits Competitive salary Medical insurance package with extended coverage to dependents Attractive annual leave entitlement including: birthday, work anniversaryWork Flexibility Adoption. Flexi-work hour and hybrid or remote set-upAspire career alternatives through us. Our internal mobility program can offer employees a diverse scope. Work Perks: crypto.com visa card provided upon joining Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team. About Crypto.com: Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem. Learn more at https://crypto.com. Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team. Personal data provided by applicants will be used for recruitment purposes only. ","hiringOrganization":{"@type":"Organization","name":"Crypto.com","sameAs":"https://crypto.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Taipei, Taiwan","addressCountry":"Taiwan","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-19","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

Job Overview

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

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

Key Responsibilities

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

Qualifications

Key Requirements

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

Nice To Have

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

Additional Information

BENEFITS & PERKS FOR WORKING AT OLLION

Our employees multiply their potential because they have opportunities to: Create a lasting Impact, Learn and Grow professionally & personally, Experience great Culture, and Be your Whole Self!
\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":18,"item":{"@type":"JobPosting","title":"Senior Data engineer","datePosted":"2025-09-19","description":"

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

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

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

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

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

\n\n

🚀 About The Role:

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

\n\n

🛠️ Key Responsibilities:

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

\n\n

🎓 Qualification & Experience:

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

👤 Preferred Candidate:

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

\n\n\n\n

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

\n\n\n

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

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

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Company Description

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

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

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

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

Mō te tūranga | What you’ll be doing

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

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

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

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

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

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

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

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

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

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

Ngā painga ki a mātou | What we can offer   

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

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

Tono mai ināianei tonu | Apply now

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

To view the full Position Description please click here.

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

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

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

This role is based in Wellington or Christchurch.

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

","hiringOrganization":{"@type":"Organization","name":"Meridian Energy","sameAs":"https://www.meridianenergy.co.nz"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wellington or Christchurch, New Zealand","addressCountry":"New Zealand","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"(USA) Senior, Data Engineer","datePosted":"2025-09-19","description":"

Position Summary...

What You'Ll Do...

Role summary:

As a Senior Data Engineer at Walmart, you will design, develop, and maintain scalable data pipelines and models that support critical business decisions. Leveraging expertise in data integration, governance, and quality, you will transform complex data into actionable insights aligned with strategic objectives. This role requires proficiency in SQL, cloud platforms, and data warehousing technologies to optimize data accessibility and reliability. You will collaborate across functions to ensure data solutions meet evolving business needs while upholding high standards of integrity, compliance, and operational excellence.

About the team:

The Platform Intelligence team develops Watchtower, a centralized operational hub that enhances incident response and error correction at scale. As a Senior Data Engineer, you will design and build data pipelines and event-driven systems using technologies like React, TypeScript, Redis, Kafka, and PostgreSQL. The team focuses on integrating automation with human oversight to support critical operations across the company. Collaborating closely with engineers, you will contribute to maintaining data quality, governance, and strategy, ensuring reliable and efficient data solutions that empower thousands of users during key operational moments.

What you'll do:

Develop and maintain scalable data pipelines to support business analytics and reporting needs.
Design and implement data models, ensuring data quality, integrity, and accessibility across platforms.
Collaborate with stakeholders to translate business requirements into technical solutions aligned with data strategy.
Perform data extraction, transformation, and integration using appropriate tools and techniques in cloud and big data environments.
Apply data governance standards to ensure compliance with regulatory and ethical requirements.
Conduct code development, testing, and deployment to deliver reliable data engineering solutions.
Provide technical guidance and support to team members on data-related challenges.

What you'll bring:

Extensive experience in data engineering, including data integration, modeling, and pipeline development.
Proficiency in SQL and familiarity with cloud-based data platforms such as Snowflake, Azure, or Google BigQuery.
Strong understanding of data governance, data quality standards, and regulatory compliance.
Ability to translate business requirements into scalable data solutions aligned with organizational strategy.
Expertise in designing and maintaining data warehouses, data lakes, and enterprise big data platforms.
Skilled in applying data transformation techniques and ensuring data accessibility and scalability.
Experience collaborating cross-functionally to deliver actionable business insights through data.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

‎

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

‎

For information about PTO, see https://one.walmart.com/notices.

‎

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

‎

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

‎

For information about benefits and eligibility, see One.Walmart.

‎

The annual salary range for this position is $90,000.00-$180,000.00

‎

Additional compensation includes annual or quarterly performance bonuses.

‎

Additional compensation for certain positions may also include:

‎

- Stock

‎

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years’ experience in
software engineering or related field. Option 3: Master's degree in Computer Science and 1 year’s experience in software engineering or related
field.
2 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 3 years' experience in software engineering, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

508 Sw 8Th St, Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.","hiringOrganization":{"@type":"Organization","name":"Walmart","sameAs":"https://careers.walmart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"(USA) Global People Center (GPC) AR Bentonville Home Office, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-19","description":"

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

We are a values-driven high performing team

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

See yourself in our team

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

Key Responsibilities

Accelerated Data Delivery:

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

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

We're interested in hearing from people who have

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

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

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

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

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

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

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

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

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

What You'Ll Do

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

Tech Stack

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

What We're Looking For

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

Company Summary

Aristocrat Interactive

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

About Aristocrat

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

Our Values

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

Travel Expectations

None

Additional Information

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

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

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

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Join Ferrovial: Where Innovation Meets Opportunity

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

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

Why Ferrovial?

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

Job Description:

Key Responsibilities

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

Strategy:

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

Data Products Delivery / Evolution:

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

Quality Supervision & Development Teams Support:

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

Operations & Maintenance:

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

Collaboration with the Global Data Strategy

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

Innovation:

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

Requirements

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

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

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

#Weareferrovial

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Job Posting Title:

Senior Data Engineer - Commerce Data Solutions

Req Id:

10131337

Job Description:

Disney Entertainment & Espn Product & Technology

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

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

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

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

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

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

Responsibilities

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

Basic Qualifications

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

Preferred Qualifications

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

Required Education

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

Additional Information

#Disneytech

#Cdi

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

Job Posting Segment:

Commerce, Data & Identity

Job Posting Primary Business:

PE - Sports, News & Entertainment, Enablement

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

New York, NY, USA

Alternate City, State, Region, Postal Code:

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

Date Posted:

2025-09-19","hiringOrganization":{"@type":"Organization","name":"The Walt Disney Company","sameAs":"https://thewaltdisneycompany.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA - NY - 7 Hudson Square, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

Company Description

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

Job Description

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

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

Qualifications

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

Additional Information

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

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

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

","hiringOrganization":{"@type":"Organization","name":"Adtalem Global Education","sameAs":"https://www.adtalem.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisle, IL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

Join the Origis Energy Team!

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

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

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

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

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

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

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

Position Description

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

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

\n\n

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

Role Expectations

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

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

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

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

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

","hiringOrganization":{"@type":"Organization","name":"Origis Energy","sameAs":"https://origisenergy.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, Texas, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Senior Data Engineer (m/f/d) Remote","datePosted":"2025-09-18","description":"

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

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

Here's how you'll make a difference:

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

What makes you a great fit:

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

Why Us?

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

What We Offer*

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

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

About Us

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

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

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

","hiringOrganization":{"@type":"Organization","name":"SoSafe","sameAs":"https://sosafe-awareness.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cologne","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Senior Data Engineer - MAD","datePosted":"2025-09-18","description":"

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

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

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

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

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

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

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

About The Role

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

On Your First Month In Fever:

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

After 3 Months In Fever:

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

On your 6th month in Fever:

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

Key Responsibilities

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

About You

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

It would be a plus if you...

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

Benefits & Perks

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

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

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

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

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

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

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Your Mission

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

Our Tech Stack

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

Your Profile

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

You Can Look Forward To

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

","hiringOrganization":{"@type":"Organization","name":"momox","sameAs":"https://momox.biz/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Senior Data Engineer Spark - Scala F/H","datePosted":"2025-09-18","description":"

Description De L'Entreprise

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

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

Description Du Poste

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

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

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

Qualifications

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

CompéTences Et QualitéS RecherchéEs :

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

Pourquoi Nous Rejoindre :

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

Informations SuppléMentaires

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

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

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

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Company Description

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

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

Job Description

The Role

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

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

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

What You’Ll Do

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

What You Bring

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

Nice To Have

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

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

Perks:

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

● Monthly Wellness Reimbursement Program to promote health well-being

● Monthly Office Commutation Reimbursement Program

● Paid paternity and maternity leaves

","hiringOrganization":{"@type":"Organization","name":"Forbes Advisor","sameAs":"https://www.forbes.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai, TN, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

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

\n\n

Job Responsibilities

\n\n

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

\n\n

Job Qualifications

\n\n

Technical Skills

\n\n

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

\n\n

Professional Skills

\n\n

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

\n\n\n

Other Things To Know

\n\n

Learning & Development

\n\n

\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":"Ho Chi Minh City","addressCountry":"Vietnam","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

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

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

Reports To:

Director of Data Engineering

Summary

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

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

Key Responsibilities:

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

Our Tech Stack:

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

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

Essential Experience:

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

Other Desired Experience:

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

\n\n\n\n\n

Our promise to talent

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

\n\n\n\n\n

Property Finder Guiding Principles

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

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

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

Find Us At:

Twitter

Facebook

Instagram

Glassdoor

\n\n\n\n\n","hiringOrganization":{"@type":"Organization","name":"Property Finder","sameAs":"https://www.propertyfinder.ae/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dubai, United Arab Emirates","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

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

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

\n","hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://corporate.ford.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai, Tamil Nadu, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

Company Description

Job Description

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

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

Let’S Talk!

What You’Ll Do:

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

Nice To Have:

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

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

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

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

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

Qualifications

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

Additional Information

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

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

","hiringOrganization":{"@type":"Organization","name":"Delivery Hero","sameAs":"https://www.deliveryhero.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Athens, Greece","addressCountry":"Greece","addressRegion":"Europe"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"(Senior) Data Engineer – AI Booster Team (f|m|d)","datePosted":"2025-09-18","description":"

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

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

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

About Your New Role

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

Skills & Requirements

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

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

Requirements

At Idealo You Can Expect

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

About Idealo

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

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

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

#Li-Aj

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Company Description

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

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

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

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

Job Description

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

Key Responsibilities:

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

Qualifications

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

Additional Information

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

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

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

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

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

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회사 소개

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

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팀 소개

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

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

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

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

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

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업무 내용

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

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자격 요건

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

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전형 절차 및 안내사항

전형 절차

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

참고 사항

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

개인정보 처리방침

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

서류 반환 정책

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

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Job Overview

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

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

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

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

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

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Responsibilities

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

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Qualifications

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

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Recruitment Process and Others

Recruitment Process

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

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Details To Consider

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

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Privacy Notice

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

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Document Return Policy

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

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Teamwork Makes The Stream Work.

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Roku Is Changing How The World Watches Tv

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

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

About The Team

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

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About The Role

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

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What You'Ll Be Doing

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

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We'Re Excited If You Have

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

Benefits

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

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The Roku Culture

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

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

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

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

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

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

What You'Ll Be Doing:

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

What We'Re Looking For:

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

What’S In It For You:

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

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

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

","hiringOrganization":{"@type":"Organization","name":"Coinhako","sameAs":"https://www.coinhako.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"Senior Data Engineer

Job Description

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

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

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

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

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

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Job Description

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

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

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

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

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

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Date Posted:

2025-04-11

Country:

India

Location:

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

Job Title: Senior Data Engineer

Years Of Experience: 5 – 8 Years

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

On a typical day you will:

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

What you will Need to be Successful:

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

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

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

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

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

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

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

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

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

Privacy Policy And Terms:

Click on this link to read the Policy and Terms

","hiringOrganization":{"@type":"Organization","name":"Otis Elevator Co.","sameAs":"https://www.otis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"1st Floor, Embassy Vajram Onyx, Embassy Tech Village, Outer Ring Road, Devarabisanahalli, Bengaluru, Karnataka - 560103, India.","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"L4B Senior Data Engineer","datePosted":"2025-09-18","description":"

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

The Role:

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

Your Contribution:

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

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

Key Qualifications:

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

In addition, preferable skills and behaviors include:

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

Education:

Fluency In English.

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

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

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

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

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

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

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

","hiringOrganization":{"@type":"Organization","name":"Logitech","sameAs":"https://www.logitech.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-18","description":"

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

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

Requirements

","hiringOrganization":{"@type":"Organization","name":"BBGC","sameAs":"https://bbgcservices.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dubai, Dubai, United Arab Emirates","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

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

Senior Data Engineer

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

Responsible For:

Website Analytics & Tagging:

Implement and manage Google Analytics tracking across multiple club websites.

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

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

Visualization & Reporting:

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

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

Data Governance & Quality:

Implement rigorous data validation and quality checks.

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

Cross-Functional Collaboration:

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

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

Required Qualifications And Experience:

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

What We Offer:

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

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

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

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

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

Invited is an Equal Employment Opportunity Employer

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

","hiringOrganization":{"@type":"Organization","name":"Invited","sameAs":"https://www.invitedclubs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irving, TX, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-09-17","description":"

🌟 About Us:

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

Core Values At 8020rei:

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

🌟Role Overview.

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

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

Key Responsibilities:

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

Qualification:

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

Why Join Us?

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

📝 What We Offer:

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

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

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The Role:

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

Responsibilities:

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

Requirements:

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

Must Haves:

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

Great To Haves:

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

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Job Description

\n\n\n\n

\n\n

Job Responsibilities

\n\n

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

\n\n

Job Qualifications

\n\n

Technical Skills

\n\n

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

\n\n

Professional Skills

\n\n

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

\n\n\n

Other Things To Know

\n\n

Learning & Development

\n\n

\n\n\n

About Thoughtworks

\n\n

\n\n\n\n\n

#Li-Remote

See here our AI policy.

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About Data Axle:

\n\n

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

\n\n

Roles & Responsibilities:

\n\n

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

\n\n

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

\n\nQualifications\n

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

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