At a Glance
- Tasks: Build scalable, AI-powered streaming applications and improve data utilisation across the company.
- Company: Join Checkout.com, a leading fintech powering billions of transactions globally.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for personal growth.
- Other info: Dynamic team culture that values collaboration and personal development.
- Why this job: Make a real impact in fintech while working with cutting-edge technologies.
- Qualifications: Strong background in data systems and experience with stream processing technologies.
The predicted salary is between 70000 - 90000 £ per year.
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.
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 and batch data applications, and share data across Checkout.com 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 and data products aiming to solve business problems. Our focus is on maximising the amount of time engineers 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 and 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 engineering 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
While experience with our specific tech stack is a plus, we welcome candidates with a strong background in data systems who are eager to learn. The core remit of this role is to own and scale our event streaming capability, not to serve as a general DevOps or infrastructure engineer.
- 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 describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines.
- Excellent programming skills with at least one of Java or Python.
Additional Information
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.
Staff Software Engineer - Streaming in London employer: Checkout.com
Contact Detail:
Checkout.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer - Streaming in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Checkout.com on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about stream processing technologies like Kafka and Flink. We want to see your passion and expertise shine through!
✨Tip Number 3
Show us your problem-solving skills! Be ready to discuss past projects where you tackled challenges head-on. We love candidates who can think on their feet and come up with innovative solutions.
✨Tip Number 4
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 joining our team at Checkout.com.
We think you need these skills to ace Staff Software Engineer - Streaming in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Staff Software Engineer role. Highlight your experience with streaming technologies like Kafka and Flink, and show us how your skills align with our mission at Checkout.com.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your expertise in event streaming and data systems. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point.
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’s super easy!
How to prepare for a job interview at Checkout.com
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Kafka and Flink. Brush up on your experience with cloud services like AWS and container management with Docker. Being able to discuss these topics confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific instances where you implemented event streaming solutions or improved data processing efficiency. This will demonstrate your ability to contribute to Checkout.com’s mission of solving business problems through data.
✨Communicate Effectively
Strong communication skills are key for this role. Practice explaining technical concepts in a way that’s easy to understand. You might be asked to present your ideas or influence others, so being clear and concise will help you stand out during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the technology stack, and the company culture. This shows your genuine interest in the role and helps you assess if Checkout.com is the right fit for you. Plus, it gives you a chance to engage with your interviewers and make a memorable impression.