Evolve the technical direction for Analytics Engineering in partnership with the Head of AE
Develop scalable modelling patterns aligned to our data mesh and domain-based ownership approach
Raise engineering standards across testing, CI/CD, documentation, version control and code review
Lead by example in applying data governance and risk standards across all data products
Design and build robust, production-grade, cost-efficient dbt models for high-impact domains
Own modelling strategy for key business areas, ensuring consistency, maintainability, and scalability
Optimise data marts for performance, reliability and long-term growth
Break down complex domain problems into scalable data products
Evaluate trade-offs between cost, performance, maintainability and delivery speed
Take end-to-end ownership of high-impact modelling initiatives
Partner with product teams and domain owners to translate business needs into clean, well-documented data models
Ensure cross-domain consistency and reusability of shared entities
Advocate for domain ownership and clear data contracts
Simplify overly complex modelling areas and reduce unnecessary warehouse costs
Mentor Analytics Engineers and Analysts, helping them deepen their modelling and engineering expertise
Provide high-quality, empathetic and actionable code reviews
Share knowledge at scale through documentation, technical sessions or playbooks

Significant experience as a Senior or Lead Analytics Engineer
Demonstrable experience setting technical standards or shaping modelling practices
Strong expertise in SQL and building production-grade, cost-efficient dbt models
Experience working in modern cloud data environments
Strong understanding of data governance and risk considerations
Experience working cross-functionally in product-led environments
Solid understanding of CI/CD, Git-based workflows, and version-controlled deployments

Senior Analytics Engineer

Key skills