IT & Software

Analytics Engineer (UK Cards)

Lendable

London · Greater London · United Kingdom

Overview

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
  • Collaborative working style
  • Clear communication across stakeholders
  • Proactiveness in improving data workflows
  • dbt
  • Snowflake
  • ELT pipelines

Reference: WJ-747_30872788

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