At a Glance
- Tasks: Build scalable, AI-powered streaming data applications and improve business performance.
- 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 focused on collaboration and personal development.
- Why this job: Make a real impact in the fintech world with cutting-edge technology.
- Qualifications: Experience with Kafka, Flink, cloud technologies, and strong programming skills in Java or Python.
The predicted salary is between 50000 - 70000 £ 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
- 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, 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: Dormont Manufacturing Co
At Checkout.com, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London HQ is not just a workplace; it's a thriving environment where ambitious individuals can take ownership of their projects, enjoy flexible hybrid working arrangements, and access numerous growth opportunities. Join us to be part of a team that values your contributions and supports your professional journey in the fast-paced world of fintech.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer - Streaming in London
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We think you need these skills to ace Staff Software Engineer - Streaming in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Dormont Manufacturing Co.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Dormont Manufacturing Co and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Dormont Manufacturing Co uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.