Fabric Data Engineer (Eindhoven)
Senior consulting data engineer at Xebia who helps enterprise clients adopt Microsoft Fabric the right way: designing lakehouses and pipelines, and setting up CI/CD, environments, and engineering best practices. Requires 3+ years in data engineering (1.5+ with Fabric), with broader Azure/AWS/GCP, Spark, Terraform, dbt, and Airflow exposure valued.
- Compensation
- Not disclosed
- Location
- Netherlands
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- At least 3 years of relevant Data Engineering work experience
- At least 1.5 years working with (or helping to transfer to) Microsoft Fabric
- Hands-on experience with Microsoft Fabric
- Software engineering fundamentals: version control, testing, CI/CD, and code review
- Lives in the Netherlands
- Strong communication skills: explaining design choices and aligning stakeholders
- Comfortable working with different clients in various locations and mixed teams
Nice to have
- Experience with or interest in other clouds (Azure, AWS, GCP) and tools like Spark, Terraform, dbt, or Airflow
- Open to standout talent with unique achievements (open-source contributions, founding a startup) regardless of experience level
Full description
Does This Sound Like You?
You're an experienced data engineer who gets excited about landing the rapidly evolving Fabric stack at data-driven enterprises the right way. You don't just build pipelines you think about how to do it right. You care about defining best practices, bringing software engineering discipline to the data platform world, and making things work at scale. You're pragmatic, opinionated where it matters, and always looking to raise the bar.
The Xebia Data Division
Xebia Data is one of the divisions of Xebia Netherlands, renowned for its expertise in building strong Data and AI practices that 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.
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 don't fall apart at scale.
Your day-to-day will include designing lakehouses and data pipelines in Fabric, but also tackling the harder questions: How do you set up CI/CD for Fabric? How do you manage environments and promotion? How do you structure a workspace for a team of ten? You’ll define the patterns others follow.
Fabric is your main focus, but you stay curious. You keep an eye on the broader ecosystem, whether that's Azure, AWS, GCP, or open-source tools like Spark, Terraform, and dbt. You understand that good engineering principles transfer across platforms, and you bring that perspective to every engagement.
You use your communication skills as much as your technical skills. You explain your design choices, align stakeholders, and help client teams make confident and informed decisions about their data platform. You will be surrounded by experts from diverse fields and learn from different environments and industries. It’s not always easy, but it is always rewarding.
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, building the foundations that power data products.