Senior BigQuery Data Engineer Data engineering London

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. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

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.

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 provide constructive feedback.
• Wherever possible, automate workflows and processes, aiming for the platform to be as self-sustaining as possible.
• Stay up-to-date with the latest data and streaming engineering technologies and trends.
• Use that knowledge and subject matter expertise to mentor the more junior members of the team, and work with other “application” teams to provide guidance and best practice.
• Build lightweight tooling and associated reference patterns to foster the adoption of the platform by enabling upstream teams and systems to easily publish and manipulate data and deploy applications using industry best practices.
• Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own applications.
• Provide consultancy across the technology organisation to drive the adoption of the platform and unlock use-cases.
• Promote data quality and governance as a first-class citizen of the platform.

Qualifications:

• Strong engineering background with a track record of implementing and owning components of a data platform.
• Strong experience working with Cloud data warehousing technologies, in particular with BigQuery optimisation and FinOps.
• Experience working with modern cloud-based stacks such as AWS, Azure or GCP.
• Excellent SQL skills.
• Strong programming skills with at least one of Python, Java, Scala or C#.
• You’re a mentor, raising the bar for your colleagues.
• You’re a collaborator, always ready to dive in and partner to solve tough problems.
• You’re a listener, and seek to understand the underlying problems before pitching solutions.
• You are able to drive through best practices by taking teams and organisations as a whole with you.
• You are a thought leader, so we’d love to see articles, podcasts, meetups or conference talks if you’ve done them.

Additional Information:

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognised for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed.

Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.