Freelance medior Microsoft Fabric Engineer - Brussels - ClearSource

    ClearSource
    ClearSource Brussels

    1 week geleden

    Beschrijving

    Freelance Medior Microsoft Fabric Data Engineer

    • Contract until end December 2026 to start ASAP
    • Brussels Hybrid

    Context

    The 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.

    Role

    You 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 engineering

    Profile:

    MUST HAVE:

    API ingestion patterns (REST, pagination, auth): 1year

    Data quality engineering (checks, reconciliation, monitoring): 5 years

    Dataflows Gen2:1 year

    DAX (performance-focused measures): 3 years

    Dimensional modelling and star schemas: 5 years

    Documentation, standards and knowledge sharing: 5 years

    Fabric Data Factory pipelines: 1 year

    Fabric Data Warehouse (tables, views, performance): 1 year

    Functional analysis: 5 years

    Hybrid enterprise landscape (on-prem plus cloud): 3 years

    Lakehouse on OneLake (Delta): 1 year

    Medallion architecture (bronze to silver to curated): 3 years

    Microsoft Fabric (end to end): 1 year

    Owning delivery and proactively managing risks and dependencies: 5 years

    PySpark and Spark DataFrames: 2 years

    Python for data engineering: 2 years

    Scrum hygiene (clean tickets, predictable delivery): 5 years

    Semantic layer design (dataset to model to report coherence): 5 years

    Source connectivity (ODBC, SQL, Salesforce, notebooks): 3 years

    SQL (T-SQL, ELT patterns, optimisation): 3 years

    Translating requirements into deliverable technical solutions: 5 years

    Enterprise SaaS as a data source( example CRM Platform): 3 years

    Power BI Semantic models: 3 years


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