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Freelance Microsoft Fabric Data Engineer

adesso Belgium
Companyadesso Belgium
CategoryEngineering
LocationBrussels
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted
Last verified30 Jul 2026
SourceEmployer career page (recruitee)
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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. We are looking for different freelance MS Fabric engineers for the staffing of different projects. 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. 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
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