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Data Engineer

00069024301

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. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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My journey has run parallel to Cognizant’s. When I joined, we were a $1B company with 20,000 people. Today we’re at $20B with 350,000 people. And yet the same sense of belonging has grown stronger.
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Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.
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