Lead Data Engineer

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.

• 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.

• £100,000 salary.
• Share options.
• Private medical insurance.
• Fully remote working across the UK.
• Significant technical ownership and autonomy.
• Opportunity to shape the future direction of data and AI within a high-growth technology business.
• Clear progression into broader technical and leadership responsibilities as the organisation continues to scale.

If you are looking for an opportunity to take ownership of data engineering within an ambitious AI technology business, this role offers the chance to influence technical strategy, build cutting-edge data platforms and play a key role in the company’s continued growth.