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Data Engineer - Operational Data

Job in Shirebrook, Derbyshire, NG20, England, UK
Listing for: Frasers Group
Full Time position
Listed on 2026-01-27
Job specializations:
  • Software Development
    Data Engineer
Job Description & How to Apply Below

Overview

At Frasers Group we’re rethinking retail. Through digital innovation and unique store experiences, we’re serving our consumers with the world’s best sports, premium and luxury brands globally. As a leader in the industry, we’re elevating the retail experience for our consumers through our collection of established brands, including Sports Direct, FLANNELS, USC, Frasers, and GAME.

Our vision – we are building the world’s most admired and compelling brand ecosystem.

Our purpose – we are elevating the lives of the many with access to the world’s best brands and experiences.

At Frasers Group, we fear less and do more. Our people are forward thinkers who are driven to operate outside of their comfort zone to change the future of retail, embracing challenges along the way. The potential to elevate your career is massive, the experience unrivalled. To be able to make the most of it you need to live and breathe our principles:

Think without limits – Think fast, think fearlessly, and take the team with you.

Own it and back yourself – Own the basics, own your role and own the results.

Be relevant – Relevant to our people, our partners and the planet.

Are you ready to join the Fearless?

Why join us

Why join us?

Our vision – we are building the world’s most admired and compelling brand ecosystem.

Our purpose – we are elevating the lives of the many with access to the world’s best brands and experiences.

At Frasers Group, we fear less and do more. Our people are forward thinkers who are driven to operate outside of their comfort zone to change the future of retail, embracing challenges along the way. The potential to elevate your career is massive, the experience unrivalled. To be able to make the most of it you need to live and breathe our principles:

Think without limits – Think fast, think fearlessly, and take the team with you.

Job Description

We are currently looking for a Mid-Senior Data Engineer to join us in our growing Data Engineering team; to help develop, maintain, support, and integrate our growing number of data systems. You will be instrumental in designing, building, and maintaining robust and scalable data pipelines that power our operational subscribers and analytical platforms. You will work with a diverse range of data sources, integrating both real-time streams and micro-batches, connecting with varied end points to move data at speed and at scale.

The right candidate will have a wealth of knowledge in the data world with a strong focus on Databricks, and will be keen to expand upon their existing knowledge, learning new technologies along the way as well as supporting both future and legacy technologies and processes.

You will be coding, testing, and documenting new or modified data systems; creating scalable, repeatable, secure pipelines and applications for both operational data and analytics, both internally and externally to the business. You will grow our capabilities, solving new data problems and challenges every day.

Key Responsibilities
  • Design, Build, and Optimise Real-Time Data Pipelines:
    Develop and maintain robust and scalable stream and micro-batch data pipelines using Databricks, Spark (PySpark/SQL), and Delta Live Tables.
  • Implement Change Data Capture (CDC):
    Implement efficient CDC mechanisms to capture and process data changes from various source systems in near real-time.
  • Master the Delta Lake:
    Leverage the full capabilities of Delta Lake, including ACID transactions, time travel, and schema evolution, to ensure data quality and reliability.
  • Champion Data Governance with Unity Catalog:
    Implement and manage data governance policies, data lineage, and fine-grained access control using Databricks Unity Catalog.
  • Enable Secure Data Sharing with Delta Sharing:
    Design and implement secure and governed data sharing solutions to distribute data to both internal and external consumers without data replication.
  • Integrate with Web Services and APIs:
    Develop and manage integrations to push operational data to key external services, as well as internal APIs.
  • Azure Data Ecosystem:
    Work extensively with core Azure data services, including Azure Data Lake Storage (ADLS) Gen2, Azure Functions,…
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