Senior Data Engineer
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Movify helps organisations make the most of their data, from solid foundations to GenAI use cases. A data team of 10 to 15 engineers is building a modern data platform on Microsoft Fabric, and the team is looking for an expert to show them the way: how to build it right, and how to build it faster with AI. That’s where you come in.
What you’ll be doing
You’ll join our AI & Data team and be started on a long-term assignment with a large public organisation in Antwerp, where your work will shape how a whole data team builds.
- Design, build and run scalable data pipelines on Microsoft Fabric (pipelines, dataflows, notebooks).
- Integrate data from many sources: databases, APIs, files and business applications.
- Shape the lakehouse and warehouse layers and turn reporting needs into clean data models and reliable datasets.
- Set the standards the whole team builds on: coding conventions, CI/CD, documentation and best practices.
- Show the team how to get the most out of AI tools like GitHub Copilot in their daily engineering work.
- Work closely with analysts, reporting specialists, architects and business users.
What we’re looking for
- 5+ years as a Data Engineer, including 3+ years of Python in a data engineering context.
- Hands-on experience with Microsoft Fabric on Azure lakehouse or warehouse architectures.
- Experience integrating multiple source systems and supporting reporting and analytics environments.
- You already use AI coding assistants in your daily work and know where they really help.
- You enjoy sharing what you know and raising the bar for the people around you.
- Native-level Dutch (C2) and fluent English.
- Spark and medallion architecture (bronze, silver, gold).
- CI/CD, Git and deployment of data solutions.
- Power BI and Kimball data modelling.
- Data governance, data quality and lineage.
- Experience in the public sector or a complex enterprise environment.
- Data mesh or domain-oriented architectures.
What Movify offers
- An onboarding bootcamp on AI & Data and the way we work.
- A long-term assignment with real influence on how a whole team works.
- Based at the client’s site in Antwerp, 2 to 3 days onsite, the rest remote.
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