Company Description
We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen.
Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.
With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.
Job Description
About the role
Checkout.com is looking for an ambitious Staff Data Engineer to join our Data and AI Platform Team. Our team’s mission is to build a platform where you can create reliable, scalable, AI-powered streaming & batch data applications, and share data across checkout to improve business performance.
The Data and AI Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build AI use cases, reports/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.
We're building for scale. As such, much of what we design and implement today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data.
Key Responsibilities
Work with stream processing technologies (Kafka & Flink) to build a continuously available large-scale event streaming platform
Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst building strong relationships with engineers and managers
Build tooling (modules/SDKs/DSLs) and associated documentation to foster the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications
Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own streaming applications
Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases
Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans
Provide hands-on support for all event-based systems including incident triage and root cause analysis
About You
Strong presentation and communication skills with a proven track record of influencing engineering organisations
Strong engineering background with a track record of implementing and owning event streaming platforms
Hands-on experience working with stream technologies, primarily Kafka, but also Kinesis
Experience designing and implementing stream processing applications with Flink
Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS)
Experience with Kubernetes (either self-hosted or on the cloud)
Experience with SQL databases
Experience working with Docker, container deployment and management
Experience with infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines
Excellent programming skills with at least one of Java, Python and C#
Bring all of you to work
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 recognized 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. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
