Key Responsibilities: - Deliver Fabric and Azure data platforms end to end: Build and productionise Microsoft Fabric solutions using OneLake, Lakehouses, Warehouses, Data Pipelines, Notebooks, Dataflows and Azure Data Factory, including integration with legacy, cloud and on-premises data sources. - Engineer reliable data pipelines and models: Design batch, incremental and near-real-time ETL/ELT using SQL, Python and PySpark; apply medallion, dimensional/Kimball, normalised and data-product patterns as appropriate; and use production-grade techniques such as CDC, SCD, schema-change handling, idempotency, retry/replay, backfill and source-to-target reconciliation. - Own Dev/Test/Production delivery and CI/CD: Configure Fabric workspace structures and environment-specific settings, and i

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Key Responsibilities: - Deliver Fabric and Azure data platforms end to end: Build and productionise Microsoft Fabric solutions using OneLake, Lakehouses, Warehouses, Data Pipelines, Notebooks, Dataflows and Azure Data Factory, including integration with legacy, cloud and on-premises data sources. - Engineer reliable data pipelines and models: Design batch, incremental and near-real-time ETL/ELT using SQL, Python and PySpark; apply medallion, dimensional/Kimball, normalised and data-product patterns as appropriate; and use production-grade techniques such as CDC, SCD, schema-change handling, idempotency, retry/replay, backfill and source-to-target reconciliation. - Own Dev/Test/Production delivery and CI/CD: Configure Fabric workspace structures and environment-specific settings, and i