Data Engineer (Fintech)

TL;DR

Data Engineer (Fintech) (Python/SQL/dbt): Building and optimising data workflows and high-quality data products with an accent on analytics engineering, data modelling, and automation. Focus on designing reliable pipelines, developing Python tools, and transforming data in Snowflake to support consumer finance products.

Location: London, UK; hybrid work with the option to work from home on Mondays and Fridays, while collaborating in the office on other weekdays.

Company

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

What you will do

• Transform and model data using SQL and dbt.
• Build and maintain Python-based data workflows and pipelines.
• Develop tools that automate and optimise day-to-day data engineering work.
• Support data-intensive backend services and modern data platform initiatives.
• Collaborate with technical and non-technical stakeholders to build reliable data products.

Requirements

• Experience with SQL and Snowflake or another modern data platform.
• Strong modern Python development experience.
• Experience building and maintaining data pipelines, ETL processes, or data-intensive backend services.
• Strong technical fundamentals and clear communication skills.
• Collaborative approach and willingness to learn in a cross-functional environment.

Nice to have

• Previous experience working in a cross-functional environment.

Culture & Benefits

• Hybrid working with home working available every Monday and Friday.
• Private health insurance supporting physical and mental well-being.
• Best-in-class compensation package including equity.
• Fresh lunches prepared by in-house chefs from Tuesday to Thursday.
• Inclusive and open workplace in London.

Hiring process

• Initial phone call with a team member.
• Short take-home coding exercise followed by a 60-minute technical video interview.
• 30-minute culture interview and final interview.