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Fabric Data Engineer - Cross Skilling Program (Eindhoven)

Xebia Group
CompanyXebia Group
CategoryEngineering
LocationEindhoven
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted
Last verified30 Jul 2026
SourceEmployer career page (recruitee)
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Description
Does This Sound Like You? 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. The Xebia Data Division Xebia Data is one of the divisions of Xebia Netherlands, which is renowned for its expertise in building strong Data and AI practices to deliver value to our clients. In the past, our team has predicted daily bread demand for millions of loaves, built advanced energy-saving algorithms at a national scale, and established data innovation labs at large multinational companies! You’ll work with the sharpest data professionals in Europe, people who are not only technically brilliant but also generous with their knowledge. We enjoy the benefits of being part of a large organization while maintaining the energetic atmosphere of a scale-up. Our commitment to our community is strong; we are deeply rooted in the local landscape. The Fabric Program This program is designed for experienced data professionals who want to specialize in Microsoft Fabric. You'll kick off with an intensive week of hands-on training led by our team . The training covers not just Fabric as a platform, but also the underlying foundations it's built on top of, so you understand the why, not just the how. After that, you'll dive straight into client projects with the support of our experienced Fabric engineers by your side. What You’ll Be Doing To Make Organizations Data-Driven Microsoft Fabric is becoming the go-to data platform for many organizations, and teams are eager to unlock its full potential. That's where you come in. You'll help clients adopt Fabric the right way: with proper engineering practices, reproducible deployments, testable code, and architectures that scale. 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. 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. When on-site with clients, you may encounter something very difficult to solve. At Xebia we work as a team and we've got your back. Everyone is just a message away and ready to help!  We say People First, and we mean it. What are we looking for 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 h
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