Data Engineer

IMT Resourcing Solutions provided pay range

This range is provided by IMT Resourcing Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Recruitment Partner for Tech & Digital | Founder of Award Winning IMT Resourcing Solutions 🚀

Salary: Up to £61,000

Our client, a leading organisation with a growing internal data capability, is hiring a Data Engineer to support the continued development and integration of modern Microsoft data platforms. This is a strong opportunity to join an expanding in‑house team and play a key role in shaping the future data landscape, with a particular focus on Azure and Microsoft Fabric.

You’ll be part of a collaborative environment where data is central to decision‑making, innovation, and long‑term transformation.

What you’ll do

• Design, build, and maintain scalable data pipelines using Azure data engineering tools

• Support the ongoing integration and adoption of Microsoft Fabric across the organisation

• Develop and optimise ETL/ELT processes for structured and unstructured data

• Work closely with analysts, architects, and stakeholders to deliver reliable data solutions

• Contribute to data quality, performance optimisation, and platform best practices

• You’ll work closely with internal technology and business teams to ensure data platforms are robust, secure, and aligned with strategic goals.

What we’re looking for

• Strong experience as a Data Engineer within the Microsoft Azure ecosystem

• Hands‑on experience with Azure services such as Data Factory, Synapse, SQL, or similar

• Exposure to Microsoft Fabric (or a strong desire to work more deeply with it)

• Experience building and supporting production‑grade data pipelines

• Solid SQL skills and understanding of modern data engineering principles

• The ideal candidate will be proactive, technically curious, and comfortable working in a growing, evolving data environment.

What will you get

• Up to £61,000 per annum

• Flexible working patterns and hybrid working 2 days on site in Gloucester

• 20% pension with excellent lifestyle benefits

• Growing data function with plenty of scope for progression

This position does not offer sponsorship and you must be willing to commute to Gloucester two days per week.