Microsoft Fabric Data Engineer

10 months ago

Brussels, BelgiumMid Level

Responsibilities

Design and build Microsoft Fabric data platforms using OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, Notebooks, and Power BI.
Implement batch and relevant streaming pipelines integrating Azure data services and diverse source systems.
Ingest, transform, test, deduplicate, and govern data using SQL, Python, Notebooks, Dataflows Gen2, and Warehouse features.
Create star-schema and semantic data models for Power BI and advanced analytics workloads.
Apply governance practices including workspaces, roles, sensitivity labels, lineage, RBAC, and PII handling.
Set up CI/CD and deployment pipelines for Fabric assets using Azure DevOps or GitHub.
Monitor and optimize pipelines, storage, and workloads for performance, reliability, and cost.
Collaborate with data analysts, analytics engineers, data scientists, BI developers, stakeholders, and multidisciplinary teams.
Share knowledge, contribute to proposals and pre-sales activities, mentor colleagues, and help define Fabric best practices.

Hands-on Microsoft Fabric experience or a strong Azure and Power BI background with the ambition to specialize in Fabric.
Strong SQL skills and preferably Python experience for Notebooks and data engineering workloads.
Knowledge of Apache Spark, PySpark, Azure Synapse, Azure Data Lake, and Microsoft Fabric.
Experience with analytical data modeling, including star schema and dimensional modeling; data vault or 3NF is a plus.
Experience building data warehouses, data marts, or analytical data stores for BI and reporting.
Familiarity with Azure Data Factory, Azure Synapse, Azure Data Lake, or similar tools.
Experience with CI/CD, Azure DevOps, GitHub Actions, version control, testing, and code reviews.
Understanding of data governance, security, compliance, RBAC, sensitivity labels, and PII handling in the Microsoft cloud.
Ability to work with stakeholders, explain complex technical topics clearly, and take ownership of solutions.
Native Dutch proficiency and fluent written and spoken English; French is a plus.
Current residency and work authorization in Belgium are required; relocation from other continents cannot be accommodated.

Key role in building adesso Belgium’s Data & AI practice with collaboration across the Dutch and European teams.
Personal development plan, training budget, more than 400 training courses, digital learning platform, and support for Microsoft certifications.
Hybrid work with a balance between client site, office, and home.
People-oriented culture with collaboration, trust, entrepreneurship, short decision lines, and influence over technologies and standards.
Office near Brussels North Train Station with access to food facilities, a gym, padel courts, and a skate park.
Competitive salary, company car with mobility budget, charging card, net allowance, meal vouchers, insurance, and 32 days of annual leave.

11-50 employees