Freelance medior Microsoft Fabric Engineer

il y a 18 heures

Belgium ClearSource Temps plein

Freelance Medior Microsoft Fabric Data EngineerContract until end December 2026 to start ASAPBrussels HybridContextThe client is in an active transition phase: parts of the data landscape are still on-premise, while Microsoft Fabric is becoming the target platform for integration, lakehouse and warehouse modelling and downstream Power BI consumption. This creates a hybrid reality where stability and delivery matter as much as modernisation. The team is building new Fabric capabilities while maintaining continuity for existing reporting and operational needs. RoleYou will join our data engineering team as they modernise the data platform from an on-premise data warehouse to a cloud-native Microsoft Fabric environment. As a senior data engineer, you will contribute hands-on to building reliable, scalable data pipelines and delivering well-structured data products that support reporting and analytics. You will work in a hybrid landscape where on-premise and cloud sources must coexist during the transition, so you are expected to be comfortable operating across both worlds. You are not being hired to redesign the entire platform, but to deliver high-quality engineering work, challenge weak implementation patterns and help the team mature its Fabric way of working through pragmatic technical input and clear documentation.The role is not purely focused on data engineeringProfile:MUST HAVE: API ingestion patterns (REST, pagination, auth): 1yearData quality engineering (checks, reconciliation, monitoring): 5 yearsDataflows Gen2:1 yearDAX (performance-focused measures): 3 yearsDimensional modelling and star schemas: 5 yearsDocumentation, standards and knowledge sharing: 5 yearsFabric Data Factory pipelines: 1 yearFabric Data Warehouse (tables, views, performance): 1 yearFunctional analysis: 5 yearsHybrid enterprise landscape (on-prem plus cloud): 3 yearsLakehouse on OneLake (Delta): 1 yearMedallion architecture (bronze to silver to curated): 3 yearsMicrosoft Fabric (end to end): 1 yearOwning delivery and proactively managing risks and dependencies: 5 yearsPySpark and Spark DataFrames: 2 yearsPython for data engineering: 2 yearsScrum hygiene (clean tickets, predictable delivery): 5 yearsSemantic layer design (dataset to model to report coherence): 5 yearsSource connectivity (ODBC, SQL, Salesforce, notebooks): 3 yearsSQL (T-SQL, ELT patterns, optimisation): 3 yearsTranslating requirements into deliverable technical solutions: 5 yearsEnterprise SaaS as a data source( example CRM Platform): 3 yearsPower BI Semantic models: 3 years

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