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# Data Engineer

- **Company:** Tenth Revolution Group
- **Location:** Preston, UK
- **Experience:** Starter
- **Salary:** £55,000.0 - £60,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Database, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Meta-Data Management, Cloud Platform System, Azure Data Factory, Sql Optimization, Data Strategy, Microsoft Fabric, Data Analytics, Data Management, Data Pipelines
- **Published:** July 20, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-engineer/57138621

## About the Role

* Proven experience designing and delivering enterprise-scale data pipelines and ETL/ELT solutions.
 * Strong hands-on expertise with Microsoft Fabric, Azure Data Services and cloud-based data platforms.
 * Advanced SQL and data modelling skills.
 * Experience with metadata management and data integration approaches.
 * Strong problem-solving ability with experience resolving complex technical challenges.
 * Excellent stakeholder management and communication skills., * MS Azure. Fabric

## Description

A large and respected organisation is seeking an experienced Data Engineer to lead the evolution of its data engineering capability and help deliver a modern, data-driven future. This is a senior technical leadership position offering the opportunity to shape enterprise-wide data strategy, architecture, platforms, and standards.

Working within a highly collaborative technology team, you will drive the design, implementation and optimisation of scalable data platforms and pipelines that enable informed decision-making across the organisation.

The Role:

 * Lead the strategic direction of the organisation's data engineering function.
 * Design and deliver enterprise-scale data platforms, pipelines, and integration solutions.
 * Champion best practices across data architecture, governance, security and quality.
 * Drive the adoption and optimisation of cloud-based data technologies.
 * Collaborate with technical and non-technical stakeholders to translate business requirements into scalable data capabilities.


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