As Analytics Engineer, you will strengthen Lendable's analytical foundation for the UK Cards team. You’ll partner with analysts, product, and engineering to structure, transform, and consume data with high quality and scalability. You’ll contribute to the modeling layer and help keep the data warehouse as a strategic asset. This role blends hands-on data work with collaboration across the business to accelerate insight delivery.
Pay / Benefits
Health coverage
Retirement & savings plans
Employee referral programme
Office meals & snacks
Flexible working (hybrid)
Social events and in-person connection opportunities
Responsibilities
Build and improve data models supporting lending decisions, pricing, portfolio analysis, and investor reporting
Champion standards and contribute to analytics engineering culture improvement
Support and collaborate with analysts to translate requirements into robust pipelines
Triage and resolve issues affecting analytics pipelines and downstream data trust; suggest efficiency and cost improvements
Contribute to maintaining a reliable, scalable data warehouse as a strategic business asset
Improve data workflows with ideas to enhance reliability and reduce costs over time
Work with a modern analytics stack centered on SQL, Snowflake, dbt, Fivetran and Claude
Raise areas for data workflow improvements and propose practical solutions
Key requirements
Solid analytics engineering fundamentals in a fast-moving environment
Strong data modelling skills for reliable and usable analytical datasets
Experience with ELT pipelines and transformations at scale, ideally dbt
Experience with Snowflake or another modern cloud data warehouse
Proactive in identifying and solving data workflow improvements
Collaborative, with clear communication to technical and non-technical stakeholders
Comfort using AI tools to speed up work and improve quality
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