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# Data Engineer

- **Company:** Summarythis
- **Location:** Leeds, UK
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Cloud Storage, Data Architecture, Information Engineering, Data Governance, Data Transformation, Logic Synthesis of Circuits, Python (Programming Language), Azure Data Lake, SQL Databases, Azure Data Factory, Apache Spark, Git, SC Clearance, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Data Lakehouse, Azure Synapse Analytics, Software Version Control, Data Pipelines, Legacy Systems, Databricks
- **Published:** June 14, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/38994635/

## About the Role

Essential requirementsStrong experience with Microsoft Azure Fabric (Lakehouses, Data Pipelines, Dataflows Gen2, Fabric Notebooks)Strong experience with Azure Data Factory (ADF) for orchestration and data movementStrong proficiency in PySpark, SQL, and Python for large-scale data transformationStrong experience with Delta Lake, Apache Spark, and OneLake architectureGood knowledge of Microsoft Purview for data governance, cataloguing, and lineageGood experience with Azure DevOps, Git-based version control, and CI/CD pipelinesGood understanding of data lakehouse architecture (medallion architecture - Bronze/Silver/Gold)Good knowledge of Azure storage services (ADLS Gen2, Azure Blob Storage
Nice to have skillsExperience with Azure Synapse Analytics or migration from Synapse to FabricFamiliarity with Databricks or equivalent distributed processing platformsExperience in UK public sector or government data environmentsUnderstanding of SC clearance requirements and government security classificationsKnowledge of DDAT frameworks and GDS delivery standards
QualificationsRelevant degree in Computer Science, Data Engineering, or related discipline (or equivalent experience)Microsoft Certified: Azure Data Engineer Associate (DP-203) - desirableMicrosoft Fabric Analytics Engineer (DP-600) - desirable

## Description

Design, build, and optimise data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2) and Azure Data Factory to ingest data from legacy systems and third-party sources.Develop and maintain the Bronze, Silver, and Gold layers of the lakehouse architecture using OneLake, Delta Lake, and Apache Spark within Fabric.Implement data transformation logic using PySpark, SQL, and Fabric Notebooks; ensure data quality, lineage, and cataloguing via Microsoft Purview.Collaborate with Technical Architects and Infrastructure Engineers to support CI/CD pipelines, infrastructure-as-code, and platform automationContribute to knowledge transfer workshops, running instructions, and documentation to build internal capability.Support governance compliance including Digital Design Authority reviews, Red Lines Assessments, and security controls.


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