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Cognizant

Data Engineer

Leeds·Hybrid·2d ago

Salary

Competitive salary

Work type

Hybrid

Level

mid

Category

Data Engineering

About the role

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

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world.

Tech stack

FabricAzureSQLCI/CDDatabricksPurview