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Data Engineer

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Job Description - Data Engineer

Data Engineer

Are you ready to shape the future of data engineering at a leading UK retailer? We're on the lookout for a talented Data Engineer to join a forward-thinking organisation as they embark on an exciting migration to Microsoft Fabric. This is your chance to be at the heart of a major transformation, integrating multiple data systems into a scalable, unified platform and building a brand-new data warehouse to power smarter, faster reporting.

With offices across the UK and a vibrant tech hub just outside Bristol, you'll collaborate closely with the Engineering Manager, fellow Engineers, and the wider IT team to unlock the full potential of the company's data and drive data-led decision-making.

As part of this role, you will be responsible for some of the following areas

  • Architect and build a scalable data platform integrating diverse data sources
  • Develop and maintain robust, efficient data pipelines
  • Write clean, reliable code to transform and manipulate data
  • Partner with senior technical leaders to shape modern data platform best practices
  • Contribute to long-term data strategy with a strong focus on data integrity and GDPR compliance

To be successful in the role you will have

  • Hands-on coding experience with Python or PySpark
  • Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines
  • Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse
  • Strong command of SQL
  • Excellent communication and collaboration skills

What's in It for You:

  • Up to £60,000 salary depending on experience
  • Hybrid working: 3 days in Bristol office, 2 days from home
  • 24 days annual leave plus bank holidays (rising to 27 with service)
  • Private healthcare and other wellness benefits
  • Company pension scheme

This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! To do so please email me at or call me on .

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