2 months ago
Fabric Data Engineer (Microsoft Azure)
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Job description
Text:
TL;DR
Fabric Data Engineer (Microsoft Azure): Designing and building scalable data solutions using Microsoft Fabric with an accent on end-to-end architecture, data pipelines, and governance. Focus on optimizing Spark notebooks, implementing ELT/ETL best practices, and enabling real-time analytics for enterprise clients.
Location: Antwerp, Brussels, Belgium
Company
Microsoft Services (XMS) helps organizations realize their data ambitions through modern engineering, thoughtful architecture, and deep Microsoft Azure expertise.
What you will do
- Design end-to-end data architectures using Microsoft Fabric components including Lakehouse, Data Engineering, Data Factory, Real-Time Analytics, and Power BI.
- Build and optimize data pipelines and notebooks utilizing Spark, Dataflows Gen2, and ELT/ETL best practices.
- Define data governance frameworks, focusing on domains, workspaces, OneLake structures, cataloging, lineage, and security.
- Create high-quality semantic models and datasets to empower BI teams and support real-time analytics use cases.
- Integrate Fabric with broader Azure services such as ADLS, Event Hub, Azure SQL, Databricks, and Purview.
- Guide stakeholders through Fabric adoption via workshops, assessments, PoCs, and knowledge transfer.
Requirements
- 4-8+ years of experience in data engineering, cloud analytics, or consultancy roles.
- Hands-on expertise with Microsoft Fabric components: OneLake, Lakehouse, Spark, Data Factory, KQL/Real-Time Analytics, and Power BI.
- Strong proficiency in Python, SQL, Spark, Delta Lake, and distributed compute.
- Familiarity with the Azure data ecosystem (ADLS, EventHub, Synapse, Azure Functions, Entra ID).
- Understanding of governance practices: metadata, lineage, quality frameworks, and domain-driven design.
Nice to have
- Relevant Microsoft certifications such as DP-600, DP-203, AZ-305, or PL-300.
Culture & Benefits
- Opportunity to work with cutting-edge Microsoft data technologies.
- Role focused on building trusted advisory relationships and shaping client roadmaps.
- Collaborative environment working closely with architects and engineers to deepen Azure expertise.
- Contribution to internal best practices and reusable assets.
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