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Senior Fabric Data Engineer

Moore Brussel, Moore Antwerpen, Moore Gent
Full-time
Permanent employee

Your mission

We are looking for a Senior Fabric Data Engineer to join our Data Platform & Data Engineering Team. You work on multiple projects building data platforms on Microsoft Fabric for our clients. On those projects you are the Fabric reference: you define the architecture of the data platform and solutions, make decisions on how things are built and coach colleagues.
You work close to the business: you help shape how data reaches business users, whether through Power BI reports, Fabric Apps or Fabric Data Agents and Copilot, and you build the platform with those users in mind. You will be surrounded by an exceptional peer group with deep experience in Analytics Engineering within the Microsoft & Databricks tech stack, so you will always have colleagues to spar with on the (technical) decisions you make.

Your responsibilities


As a Senior Fabric Data Engineer, you work hands-on to deliver data platforms that are ready for reporting and AI, and you own them from first requirement to production. Every mission we embark on will be a collaboration with the customer, where we translate their ambitions into concrete deliverables.
  • Design, build, and maintain ETL pipelines, lakehouses, and data warehouses in Microsoft Fabric using OneLake
  • Develop semantic models that work well in Power BI, together with business users and the people who build the reports
  • Establish data governance, lineage and access control with Purview
  • Bring AI into the platform with Fabric Data Agents and Fabric IQ
  • Translate customer questions into technical solutions, shape the solution design (data platform strategies and architectures) and implement it in Fabric
  • Coach colleagues and client teams, and review their work

Your profile

  • You have coached colleagues before, and you enjoy it
  • 4+ years of experience as a data engineer or in BI, of which 2+ years in the cloud, preferably Azure, with ETL jobs you designed, built and maintained yourself
  • Strong data modelling and coding (mostly SQL, Python, PySpark) skills
  • Hands-on experience with Microsoft Fabric and Power BI, and with the wider Microsoft stack: OneLake, lakehouses, semantic models and Purview
  • You use AI hands-on in your own engineering work and are keen to do more with it
  • DP-700 (Fabric Data Engineer Associate) is a plus, or you are open to obtaining it
  • A team player and problem solver who is at ease with business users, turns their question into a design, switches easily between projects and explains technical choices to any stakeholder
  • Enthusiastic about being part of a growing team & industry
  • You already reside in Belgium
  • You are fluent in English, and either Dutch or French
At element61, we hire for personality, drive, and a passion for learning, not just for what’s on your CV. You do not need to tick every bullet above: your ambition and motivation matter most to us, and we’ll support your growth.

Why us?

  • A market-leading compensation package, complemented by a wide range of extra-legal benefits and flexible options through our cafeteria plan and mobility budget
  • Serious investment in your training and personal development, with knowledge sharing days where we learn and grow together
  • Up-to-date technology: you always work on the latest releases, with access to a broad set of AI tools, from Claude to our own agentic engineering harness built around it, where our AI agent Ralph works alongside you as a colleague in every development
  • Room for initiative: entrepreneurship is encouraged
  • Plenty of team buildings and events together

About us

element61 is the thought-leading Analytics, AI and Performance Management consulting company in Belgium. Since 2007, we have helped on average 50 new customers per year deliver value to their organisations with optimised management information and actionable data use. We continue to serve over 400 existing customers annually with more than 140 Analytics experts.

We partner with your teams to create insights that deliver new Business Insights while sharing our Data & Analytics knowledge, experience & expertise.