Role: Data Engineer
Employment: Full time
Hybrid: Once per week
Leeds/London/Sheffield/
SC Cleared or SC Eligible (Mandatory)
Job summary
This is a pivotal engineering role at the heart of one of the most significant data transformation programmes in UK public sector client. You will be joining a strategic engagement programme to design, build, and operationalise a cloud-native data lakehouse on Microsoft Azure Fabric.
This is with the UK's largest public service department, serving over 22 million citizens, and this platform will directly underpin data-driven decision-making at national scale.
You will take a leading role in the design and delivery of data pipelines, data transformation layers, and lakehouse infrastructure using Microsoft Fabric, Azure Data Factory, and related Azure-native technologies.
You will work in agile squads alongside architects, analysts, and DevOps engineers, contributing to private beta builds, public beta expansion, and full platform operationalisation.
Key responsibilities
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 automation
Contribute 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.
Essential requirements
Strong experience with Microsoft Azure Fabric (Lakehouses, Data Pipelines, Dataflows Gen2, Fabric Notebooks)
Strong experience with Azure Data Factory (ADF) for orchestration and data movement
Strong proficiency in PySpark, SQL, and Python for large-scale data transformation
Strong experience with Delta Lake, Apache Spark, and OneLake architecture
Good knowledge of Microsoft Purview for data governance, cataloguing, and lineage
Good experience with Azure DevOps, Git-based version control, and CI/CD pipelines
Good understanding of data lakehouse architecture (medallion architecture – Bronze/Silver/Gold)
Good knowledge of Azure storage services (ADLS Gen2, Azure Blob Storage
Nice to have skills
Experience with Azure Synapse Analytics or migration from Synapse to Fabric
Familiarity with Databricks or equivalent distributed processing platforms
Experience in UK public sector or government data environments
Understanding of SC clearance requirements and government security classifications
Knowledge of DDAT frameworks and GDS delivery standards
Qualifications
Relevant degree in Computer Science, Data Engineering, or related discipline (or equivalent experience)
Microsoft Certified: Azure Data Engineer Associate (DP-203) – desirable
- Microsoft Fabric Analytics Engineer (DP-600) – desirable
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
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