Senior BigQuery Data Engineer

Job description

Company Description We’re 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. Checkout.com is looking for an ambitious Data Engineer to join our Data Platform Team. Our team’s mission is to build a world-class data platform that powers our products and analytics. The Data Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build reports or products aiming to solve business problems. Our focus is on maximising the amount of time business stakeholders spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions. The core tech stack we use is based on AWS and GCP, using: Kafka as our message transport Flink for (near) real time processing Datahub as our catalog BigQuery as our warehouse Airflow (GCP Composer) for scheduling DBT for data transformation Montecarlo for monitoring The platform here encompasses the end-to-end, first for real time / streaming use cases but also for our analytical / warehouse needs. We're building for scale. As such, much of what we design and implement today will be the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Key Responsibilities: You’ll work as part of the team to build enablement components across the platform, as well as monitor and support the capabilities we offer. Develop and maintain documentation for data systems and processes. Participate in code and design reviews and provid…