Microsoft Fabric Data Engineer

Job Description

adesso Belgium, who are we? We are an IT (start-up) provider working under the adesso umbrella with proven track record in different industries. The new Belgian entity of adesso is part of the expansion and growth strategy of the adesso group. With more than 10.000 employees spread over 60 locations we are entering an exciting period with our presence in Brussels, the capital of Europe.

As part of adesso’s group ‘’grow together’’ mission, we want to attract talents who are ready for common growth. This means supporting the company’s vision, strategy, and growth in customers, industries, and, of course, the adessi community in Belgium.

Do you want to make data truly work?

At adesso, we are looking for Data Engineers who know how to translate complex data issues into scalable, efficient solutions. Someone who embraces cloud technology, but also understands that good data solutions start with understanding the process behind the numbers.

Job Requirements

As a Microsoft Fabric Data Engineer at adesso, you design and build modern data platforms on top of the Microsoft Fabric ecosystem. You’ll work with the Fabric Lakehouse, Data Pipelines, Dataflows Gen2, Notebooks and Power BI to deliver robust, scalable and user‑friendly data solutions that enable our clients to become truly data‑driven.

You will join our growing Data & AI team in Belgium, collaborating closely with experienced colleagues from adesso in the Netherlands and across Europe. You get the energy and influence of building a new practice, backed by the stability, knowledge and customer base of an established international group.

Your Role In Projects

Design & build Fabric‑based data platforms

• 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, transform & govern data

• 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.

Collaborate with Data & AI teams

• 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.

Operate & optimize

• 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.

Contribute to the Data & AI community

• 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.

Required Technical Skills & Knowledge

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

Your profile

Technical Skills

• 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 go