Analytics Engineer

Salary: £55,000 - 95,000 per year

Requirements

• We are looking for someone with strong technical fundamentals, excellent communication skills, and a genuine interest in building high-quality data products.
• Experience working with SQL, Snowflake, or other modern data platforms.
• Strong, modern Python development experience.
• Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services.
• A collaborative working style and clear communication across technical and non-technical stakeholders.
• A keen desire to learn and contribute to a highly collaborative team.
• Experience in a cross-functional environment would be a plus, but is not required.

Responsibilities

• Work as part of our Python Infrastructure team.
• Transform and model data using SQL and dbt.
• Leverage Python to build data workflows.
• Automate processes.
• Build tools to optimise day-to-day work.
• Contribute across a broad remit and help drive decisions that impact the direction and success of our company.
• Build high-quality data products with a collaborative team.

Technologies

• Backend
• ETL
• Support
• Python
• SQL
• Snowflake
• dbt
• AI
• Machine Learning

More

We are Lendable, on a mission to build the worlds best technology to help people get credit and save money. We are one of the UKs newest unicorns, with a team of just over 700 people, and we are among the fastest-growing tech companies in the UK. We have been profitable since 2017 and are backed by top investors including Balderton Capital and Goldman Sachs. Our customers love us, with a 4.9 rating across tens of thousands of Trustpilot reviews. We have rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance, and we get money into our customers hands in minutes instead of days. We are growing fast and expanding into the UK and US, where trillions of pounds of financial products are held by big banks with dated systems and painful processes. This role sits in our Growth & Analytics department in London on a full-time hybrid basis. We offer flexible working tailored to each role, social events and opportunities to connect, health coverage including private health cover, retirement savings support, an employee referral programme, office meals and snacks at select locations, and sustainable commuting schemes in select locations.

last updated 35 week of 2026