At a Glance
- Tasks: Lead the design and build of data systems that power our innovative US products.
- Company: Join a fast-growing fintech company revolutionising credit and savings.
- Benefits: Enjoy flexible working, health coverage, and a fully stocked kitchen.
- Other info: Opportunities for social connection and career growth in a dynamic environment.
- Why this job: Be part of a winning team shaping the future of finance with cutting-edge technology.
- Qualifications: Expertise in Python, experience with data pipelines, and cloud infrastructure knowledge.
The predicted salary is between 50000 - 70000 £ per year.
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: among the fastest-growing tech companies in the UK.
So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. 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.
We’re looking for a Lead Python Engineer to join our Data Team, where you’ll play a pivotal role in shaping the systems and data infrastructure that power our US products. You’ll design and build robust data pipelines, APIs and services that drive real decisions across the business, all while keeping quality and scalability at the forefront. You’ll be a key voice in architectural discussions, helping to define how we build and evolve our data platform as we scale into the US market.
Our stack is built on Python and FastAPI, deployed via Docker and Kubernetes on AWS, with ArgoCD handling our continuous delivery pipeline.
- Deep, modern Python expertise
- Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services
- Solid understanding of FastAPI or a comparable modern Python web framework
- Strong automated testing skills across unit, integration, and functional levels
- Experience working with cloud infrastructure, ideally AWS, and comfortable with Docker and Kubernetes
- Experience in a cross-functional or data-focused engineering environment is a strong plus
- Familiarity with US financial products or regulated markets is a bonus, but not essential
For more information, please speak to your Talent Partner.
