Fabric Data Engineer - Cross Skilling Program ( Eindhoven)

You will work on projects of varying lengths. Some are three weeks, some are one year, most are in between. Every project is different, as is every client. You'll work in mixed teams of Xebians and client engineers, contributing directly to the backbone that powers data products., You're looking for a junior or entry-level position. This program requires at least 3 years of professional experience. The Xebia Way We believe in building a respectful and collaborative atmosphere where everyone can shine. Picture this: a team of curious minds, always eager to learn and share ideas. We are especially proud of our generous educational budget and our "Hack-What-You-Want" Fridays, where you can dive into projects that excite you. We champion our consultants to grow into advisors and thought leaders, whether that's publishing blogs, speaking at events, or shaping conversations about Data & AI. Xebia is a Great Place to Work certified organization driven by technology evangelists in Data and AI. Our global presence has a proven record of success across industries. Our Commitment to You

• Enjoy free healthy lunches and not-so-healthy drinks/snacks at our offices.

• Variety in clients and challenges. No boring maintenance, always learning

• Get a lease car or mobility budget

• Pick whatever laptop or MacBook you like! Choose your phone

• You can work on that innovative idea of yours next to other colleagues during our monthly Xebia Data Fridays.

• You can build/test/experiment with anything you want in our sandbox environments in GCP, AWS, and Azure

• Pension plan.Fun events and activities like ski trips, BBQs, cooking workshops and more!

• Career strategy support to help you scale your skills and leadership Unlimited book budget

Do you have experience in Terraform?, You're a data engineer or senior data professional with solid engineer and/or Azure foundations who wants to take the next step into Microsoft Fabric. You already understand what it means to build and maintain data systems in production, and now you're ready to deepen your expertise on the platform that's becoming the standard for many enterprises. You're pragmatic, eager to grow fast, and excited to bring engineering best practices to the Fabric ecosystem., You use your communication skills as much as your technical skills. You explain your design choices, align stakeholders, and help client teams make confident decisions about their data platform. You will be surrounded by experts from diverse fields and learn from different environments and industries., This position requires at least 3 years of relevant professional experience in data engineering, BI engineering, Analytics Engineering, Azure engineering, DevOps, or a related technical field. You don't need Fabric experience; that's what the program is for. What matters is that you have a strong technical foundation and the drive to develop yourself quickly.

This program is perfect for:

• Data engineers who have worked with tools like Spark, Airflow, dbt, or cloud data platforms and want to add Fabric to their toolkit.

Engineers from adjacent data fields who already apply engineering best practices (e.g., version control, CI/CD), have Azure affinity, and want to move deeper into data engineering on Fabric. That said, we like to be amazed. If you have unique achievements, like contributing to open-source projects or building something exceptional, we encourage you to apply. If you already have extensive hands-on experience with Microsoft Fabric and are a Data Engineer, consider our regular Fabric Data Engineer role instead., You have solid experience in data engineering, BI engineering, or software engineering and want to specialize in Microsoft Fabric. You care about software engineering fundamentals like version control, testing, CI/CD, and code review, and want to bring these to the Fabric ecosystem. You're eager to develop yourself quickly and aren't afraid of a steep learning curve. You have experience with cloud platforms (Azure, AWS, GCP) and/or tools like Spark, Terraform, dbt, or Airflow. You like working for different clients and enjoy learning in new environments and meeting new people on a regular basis.