Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable, AI-powered data applications and improve business performance.
- Company: Join Checkout.com, a leading fintech company transforming digital payments.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for personal growth.
- Why this job: Make a real impact in the fintech space with cutting-edge technology.
- Qualifications: Experience with stream processing technologies and strong programming skills required.
- Other info: Dynamic team culture focused on collaboration and innovation.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
Staff Data Platform Engineer London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Platform Engineer London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Checkout.com. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, experiences, and how you've tackled challenges in the past. Let them see the real you and what you can bring to the table.
✨Tailor Your Approach
Do your homework on Checkout.com and the role of Staff Data Platform Engineer. Use this knowledge to tailor your conversations and show how your skills align perfectly with their needs. It’s all about making that connection!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team at Checkout.com.
We think you need these skills to ace Staff Data Platform Engineer London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Data Platform Engineer role. Highlight your experience with stream processing technologies like Kafka and Flink, and showcase any relevant projects that demonstrate your skills in building scalable data applications.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at Checkout.com. Don’t forget to mention specific experiences that relate to the key responsibilities outlined in the job description.
Showcase Your Technical Skills: We want to see your technical prowess! Include details about your hands-on experience with cloud technologies, Kubernetes, and programming languages like Java or Python. If you've worked on CI/CD pipelines or infrastructure as code, make sure to highlight that too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you’re at it!
How to prepare for a job interview at Checkout Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of stream processing technologies like Kafka and Flink. Be ready to discuss your hands-on experience with these tools, as well as any cloud-based technologies you've worked with, such as AWS. This will show that you're not just familiar with the concepts but can also apply them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex engineering challenges in the past. Think about specific instances where you implemented solutions that improved performance or efficiency. This will demonstrate your ability to think critically and provide value to the team at Checkout.com.
✨Communicate Clearly and Confidently
Strong presentation and communication skills are key for this role. Practice explaining technical concepts in a way that's easy to understand. You might be asked to explain your thought process during problem-solving, so being articulate will help you make a great impression.
✨Be Ready to Collaborate
Checkout.com values teamwork, so be prepared to discuss how you've worked with others in previous roles. Highlight any mentoring experiences or times when you influenced engineering decisions. This will show that you can build strong relationships and contribute positively to the team dynamic.
