Lead Data Engineer

Drive the build-out of our semantic layer and MCP layer

Design and implement data transformations from raw ingested data into well-structured data models

Translate and codify business metrics into clear, governed definitions in partnership with stakeholders

Implement automated checks that ensure data quality

Contribute to the build of internal data dashboards

Drive data quality and governance in an FCA-regulated environment, where accurate audit trails are a regulatory requirement

Work closely with stakeholders to define data requirements

Provide technical leadership and champion best practices

Foster the adoption of new and innovative technologies

Act as a mentor and coach to less senior members of the team

Expert-level proficiency in SQL, BigQuery, dbt and Python

Experience working with data pipelines, modern data ingestion and transformation patterns.

Familiarity with modern data architecture patterns

Experience with AI coding tools such as Claude Code and analytics agents

Experience in building out a semantic layer and working with MCP

Strong grasp of engineering principles and writing maintainable, tested code

Strong background in Agile methodologies and Git for version control

Excellent communication skills and comfortable in working with various stakeholders across the business, both technical and non-technical

A fintech or regulated financial services background

Experience with AI/LLM infrastructure such as developing AI model evaluations

Familiarity with event-driven architectures

Experience in working with real-time data and supporting infrastructure