Checkout.com · London
This is a live UK-based role at Checkout.com, a UK Skilled Worker sponsor tracked by Sponsorly AI against the Home Office register. Posted 15 April 2026. Listed as open until 8 November 2026.
Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product’s evolution at Checkout. You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have end-to-end ownership of multiple data products from design to implementation to the operationalisation. How You’ll Make An Impact - Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake - Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics - Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting - Continuously di
Listing tracked by Sponsorly AI from Checkout.com's own job posting. Apply directly with the employer — Sponsorly does not process applications.