Lead Analytics Engineer

As Lead Analytics Engineer, you own the Lending data product on GCP and Looker, shaping scalable, governed data models for reporting, risk management, and emerging GenAI use cases. You lead an analytics engineering squad, setting standards for modelling, validation, and usage across Lending. You’ll partner with Lending, Risk, Product, and Engineering to turn business needs into robust data solutions and establish self-serve analytics.

• Full onboarding and development opportunities
• Flexible working options
• Pension contributions
• Discretionary bonus scheme
• Private health cover
• Life assurance

• Own and evolve the Lending data model across BigQuery and Looker
• Deliver standardized, scalable data models (gold + semantic layers)
• Ensure data models reflect lending business logic and requirements
• Drive data quality, validation, and consistency across datasets
• Define and implement analytics engineering best practices (modelling, naming, documentation, testing)
• Lead design and code reviews for the analytics engineering workstream
• Act as subject matter expert on Lending data structures and behaviour
• Lead the GCP and Looker data workstream, including sprint planning and prioritisation
• Translate business requirements into structured engineering tasks and delivery plans
• Ensure high-quality and timely delivery of data assets
• Partner with Lending, Risk, Product, and Engineering teams to define data requirements
• Translate business metrics into structured data models and definitions
• Provide clarity and guidance on data usage across the organisation
• Provide technical mentorship to analysts and engineers within the Lending squad
• Support workload allocation and delivery across the squadlet structure
• Contribute to building strong, collaborative ways of working
• Lead development of the unified Lending data model (strategic initiative)
• Contribute to building data context (metadata, definitions, relationships) for self-serve analytics and GenAI use cases
• Support the organisation’s transition to GCP and Looker platforms

• Strong SQL and data modelling experience (BigQuery or similar)
• Experience with BI semantic layers (Looker preferred)
• Proven ability to design and deliver scalable data models
• Understanding of data flows across complex systems (especially lending/financial services)
• Ability to translate business requirements into technical solutions
• Structured, engineering-led problem solving
• Experience leading technical workstreams or projects
• Ability to mentor and develop team members
• Strong ownership mindset and independent working style
• Owns the Lending data product (GCP + Looker) and leads analytics delivery

• Leadership and mentoring
• Stakeholder engagement
• Ownership mindset
• SQL (strong)
• BigQuery or similar data warehouse
• Looker or BI semantic layers