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# Lead Data Engineer

- **Company:** Tenth Revolution Group
- **Location:** Bampton, UK (Remote available)
- **Experience:** Expert
- **Salary:** £90,000.0 - £110,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Data as a Services, Data Architecture, Data Infrastructure, Extract Transform Load (ETL), Data Security, Decision Support Systems, Machine Learning, Metadata, Data Strategy, Build Management, AWS Data Analytics, Data Management, Data Pipelines
- **Published:** October 28, 2026
- **Apply:** https://www.reed.co.uk/jobs/lead-data-engineer/57500002

## About the Role

* Strong hands-on experience building and operating production-grade data platforms.
 * Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration.
 * Experience working with large-scale or complex datasets.
 * Background delivering analytics and business intelligence solutions.
 * Experience designing secure data services and APIs.
 * Knowledge of machine learning data foundations and modern AI-enablement practices.
 * Strong understanding of statistics, experimentation and data-driven decision making.
 * Experience working within enterprise or highly regulated environments.
 * Passion for engineering excellence, security, quality and continuous improvement.

 * AWS data and analytics ecosystem, Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.

## Description

This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function., * Design, build and maintain scalable data platforms and pipelines.

 * Develop Data-as-a-Service capabilities across products and customer solutions.
 * Create trusted analytics, reporting and business intelligence solutions.
 * Design and manage secure, reliable data services and APIs.
 * Build data infrastructure supporting machine learning, statistical models and AI systems.
 * Establish best practices for data quality, governance, lineage, metadata and observability.
 * Embed security, privacy and compliance into data architecture and engineering processes.
 * Collaborate across technical and commercial teams to influence data strategy and architecture.