Lead Data Engineer

RVU

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

Posted 9/29/2026full-timeRemote • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expert-level proficiency in SQL, BigQuery, dbt, and Python, with a strong background in data transformations, data quality governance, and Agile methodologies. Capable of providing technical leadership, mentoring team members, and fostering innovative technologies in a regulated financial services environment.

Highest-signal resume keywords

Expert-Level Proficiency In SQLData Transformation ExperienceTechnical LeadershipAgile MethodologiesData Quality Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLBigQueryDbtPythonData PipelinesData IngestionData TransformationSemantic Layer DevelopmentEvent-Driven ArchitecturesReal-Time Data Support

Soft Skills

Excellent CommunicationMentoringStakeholder Engagement

Tools & Technologies

AI Coding ToolsClaude CodeAnalytics AgentsGit

Industry Keywords

FCA-Regulated EnvironmentFintechFinancial ServicesData GovernanceAudit Trails

Tech Stack

Tools & technologies

BigQueryPythonSQL

About the role

Key responsibilities & impact

Drive the build-out of the 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
Report into the Head of Data
Work within a team spanning analysts, analytics engineering, data science, and data engineering
Work alongside cross-functional product teams to solve real business problems

Requirements

What you’ll need

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 working with various stakeholders across the business, both technical and non-technical
A fintech or regulated financial services background would be great
Experience with AI/LLM infrastructure such as developing AI model evaluations would be great
Familiarity with event-driven architectures would be great
Experience working with real-time data and supporting infrastructure would be great

Benefits

Comp & perks

Remote-first working with the option to work anywhere in the world for up to 22 days per year
25 days holiday plus bank holidays (up to 28 days with length of service)
Half-day holiday for your birthday and a day off for moving house
Pension via People’s Pension
Wellness programme from Able Futures and subsidised private medical insurance
Critical illness cover and death in service
Enhanced maternity, paternity, and adoption pay
Compassionate leave and long-service awards
Opportunities for professional growth and development