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# Lead Data Engineer

- **Company:** Tenth Revolution Group
- **Location:** Oxford, UK (Remote available)
- **Experience:** Expert
- **Salary:** £85,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Encodings, Data as a Services, Data Architecture, Data Governance, Data Infrastructure, Data Security, Machine Learning, Metadata, Operational Databases, Cloud Services, AI Infrastructure, Data Strategy, AWS Data Analytics, Data Management, Data Pipelines
- **Published:** November 3, 2026
- **Apply:** https://www.reed.co.uk/jobs/lead-data-engineer/57518986

## About the Role

* Strong hands-on experience designing and building production-grade data platforms and pipelines.
 * Strong experience across the AWS data ecosystem, ideally including S3, Glue, Redshift, Athena, Lambda, Step Functions and Amazon QuickSight.
 * Experience designing secure data services, APIs and cloud-native data architectures.
 * Understanding of machine learning, AI infrastructure and production data requirements.
 * Understanding of agentic AI, including data access, tool integration, evaluation and observability.
 * Strong understanding of data governance, security, privacy and engineering best practices.

## Description

As a Lead Data Engineer, you will play a pivotal role in shaping the organisation's data architecture and engineering capabilities. Working closely with product, engineering, data science and leadership teams, you will take ownership of designing and building scalable data platforms that underpin advanced analytics, machine learning and AI-powered solutions.

This position offers the opportunity to combine hands-on engineering with technical leadership, influencing architecture and engineering standards while helping establish the foundations for a growing data function. You will be involved in everything from developing robust data pipelines and secure data services through to enabling machine learning capabilities and delivering trusted business intelligence.

For engineers who enjoy solving complex data challenges, building sophisticated data platforms and working at the forefront of AI innovation, this role offers the opportunity to make a significant impact within an ambitious and rapidly scaling technology business., * Designing, building and maintaining scalable data platforms, pipelines and engineering solutions.

 * Building and optimising data infrastructure to support advanced analytics, machine learning, statistical models and AI applications.
 * Creating trusted analytics, reporting and business intelligence solutions.
 * Designing and managing secure, reliable data services and APIs.
 * Establishing best practices across data quality, governance, lineage, metadata and observability.
 * Embedding security, privacy and compliance into data architecture and engineering processes.
 * Working closely with technical and commercial stakeholders to influence data strategy, architecture and engineering direction.