Microsoft Fabric Data Engineer

• Design and implement Lakehouse architectures in Microsoft Fabric, using OneLake, Lakehouses and medallion (bronze‑silver‑gold) patterns.

• Build reliable batch (and where relevant streaming) data pipelines using Fabric Data Pipelines, Dataflows Gen2 and integration with Azure data services.

• Model data for analytics use cases in Power BI (star schema, semantic models) and for advanced analytics in Lakehouses.

• Ingest data from APIs, flat files, on‑premises and cloud databases, and SaaS sources into OneLake / Lakehouses.

• Implement clear and testable transformation logic (data quality checks, deduplication, SCD, CDC, business rules) using Notebooks, SQL, Dataflows Gen2 or Warehouse features.

• Apply data governance best practices (workspaces, roles, sensitivity labels, lineage, RBAC) across Fabric.

• Work closely with data analysts, analytics engineers, data scientists and BI developers to make data discoverable and usable.

• Expose data to end‑users through Power BI datasets, semantic models and reports built on top of Fabric.

• Support advanced analytics / ML workloads by preparing and structuring data within the Fabric environment.

• Set up CI/CD and deployment pipelines for Fabric assets (Power BI, Data Pipelines, Notebooks, Datasets) using tools like Azure DevOps or GitHub.

• Monitor and optimize data pipelines, storage and workloads for performance, reliability and cost.

• Help define and implement best practices, coding standards and reusable components for Fabric within the team.

• Actively share knowledge within the Belgian and Dutch Data & AI community at adesso (brown‑bag sessions, internal talks, blogs, PoCs).

• Contribute to proposals and pre‑sales activities, helping shape new Microsoft Fabric engagements.

• Coach and mentor colleagues, especially around the transition from “classic” Azure/Power BI stacks to Fabric‑based architectures.

Microsoft Fabric, Power BI, Apache Spark, Azure Synapse, Azure Data Lake, Python, PySpark, SQL

• Hands‑on experience with Microsoft Fabric or a strong background in the Azure + Power BI ecosystem and the ambition to specialize in Fabric.

• Good programming skills in SQL and preferably Python (for Notebooks and data engineering workloads).

• Strong understanding of data modeling for analytics (star schema / dimensional modeling; data vault or 3NF is a plus).

• Experience building data warehouses / data marts or analytical data stores that serve BI and reporting needs.

• Familiarity with Azure data services like Azure Data Factory, Azure Synapse, Azure Data Lake or similar tools is a strong plus.

• Experience with CI/CD (Azure DevOps, GitHub Actions) and software engineering best practices (version control, testing, code reviews).

• Understanding of data governance, security and compliance in the Microsoft cloud (RBAC, sensitivity labels, PII handling).

• You enjoy talking to stakeholders, understanding their needs and translating them into pragmatic data solutions.

• You can explain complex technical topics in a clear and approachable way, adapted to your audience.

• You are comfortable working in multidisciplinary teams (data engineers, data scientists, cloud engineers, domain experts).

• You are proactive, hands‑on, and take ownership of the solutions you build.

• You are native Dutch speaking and fluent in ENG (both written & spoken) French is a plus.

• This position requires current residency and work authorization in Belgium; relocation from other continents cannot be accommodated.

• A key role in building the Data & AI practice in Belgium, with a specific focus on modern Microsoft data platforms and Fabric.

• Close collaboration with our Dutch Data & AI team, with access to proven architectures, accelerators and experienced peers in Azure and Fabric.

• A personal development plan, training budget and support for Microsoft certifications (Fabric, Azure, Power BI).

• Opportunities to grow towards roles such as Lead Data Engineer, Solution Architect, Analytics Engineer or BI Lead, depending on your ambitions.

• A people‑oriented culture focused on collaboration, trust and entrepreneurship.

• Short decision lines and the possibility to influence the technologies, standards and methods we adopt.

• A hybrid way of working with a healthy balance between client‑site, office and home.