Python Analytics Engineer

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: - One of the UK’s newest unicorns with a team of just over 700 people - Among the fastest-growing tech companies in the UK - Profitable since 2017 - Backed by top investors including Balderton Capital and Goldman Sachs - Loved by customers with the best reviews in the market (Trustpilot 4.9) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to take ownership across a broad remit, work in small teams of exceptional people, and build the best technology in-house using ML/AI. This role sits at the intersection of analytics engineering and Python-based data engineering. You’ll transform and model data using SQL and dbt, while leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work. Our Tech Stack: Snowflake, dbt, Python. What we’re looking for: experience with SQL/Snowflake or modern data platforms; strong Python; data pipelines/ETL; collaborative communication; eager to learn; cross-functional experience a plus. Interview process: phone screen, coding exercise, technical video interview, culture interview, final interview. Life at Lendable: flexible working, health coverage, retirement savings, referral program, office meals, sustainable commuting; details vary by location.