Analytics Engineer (UK Cards)

Location: London, UK; hybrid. Home working is available on Mondays and Fridays, with office attendance expected on the other weekdays.

Company

A profitable fintech company founded in 2014 that develops technology for consumer loans, credit cards, and car finance across the UK and US.

What you will do

• Build and improve data models supporting lending decisions, pricing, portfolio analysis, and investor reporting.
• Contribute to the modelling layer and strengthen analytics engineering standards and culture.
• Collaborate with analysts, product teams, backend engineers, and business stakeholders to translate requirements into robust pipelines.
• Support analysts at different technical levels and explain technical trade-offs to stakeholders with varying technical depth.
• Triage and resolve analytics pipeline issues and improve the efficiency, reliability, and cost-effectiveness of transformation pipelines.

Requirements

• Strong analytics engineering fundamentals and pragmatic application in a fast-moving environment.
• Strong dbt and SQL skills.
• Strong data modelling skills and understanding of how analytical datasets should be structured for reliability and usability.
• Strong experience with ELT pipelines and transformation at scale, ideally using dbt.
• Experience with Snowflake or another modern cloud data warehouse.
• Proactive approach to identifying improvements in data workflows and suggesting solutions.
• Collaborative working style and clear communication with technical and non-technical stakeholders.
• Comfort using AI tools effectively to improve speed, quality, and day-to-day analytical and engineering workflows.

Culture & Benefits

• Hybrid working with the option to work from home every Monday and Friday.
• In-office collaboration and idea sharing from Tuesday through Thursday.
• Best-in-class compensation, including equity.
• Private health insurance and well-being support.
• Fresh, healthy lunches prepared by in-house chefs from Tuesday through Thursday.
• Inclusive and open workplace in London.

Hiring process

• 15-minute cognitive assessment.
• Initial chat followed by a 30-minute hiring manager interview.
• 60-minute technical interview and 60-minute culture interview.