Senior Software Engineer - Data Acquisition

About [Employer hidden]

[Employer hidden] is a premier provider of ultra low-latency, accurate odds data, fast scores, and innovative betting solutions for the global sports betting industry. With offices in London, Chicago, and Belgrade - and team members working worldwide - we deliver cutting-edge technology and data products that power some of the world’s top sportsbooks.

About the Role

We’re looking for a Senior Software Engineer to join our Data Acquisition team. In this role, you’ll help build and maintain the software that powers our real‑time sports data products, ensuring accuracy, reliability, and speed. You’ll work closely with engineers, data specialists, and Client Services to deliver high‑quality solutions that keep our data flowing at scale.

What You’ll Do:

• Developing, testing, and deploying high‑quality software that processes data from diverse sources.
• Building, improving, and maintaining distributed systems and data pipelines (including Kafka-based services).
• Deploying and supporting containerised workloads running in Kubernetes environments.
• Creating and maintaining clear, accurate documentation for the systems you build.
• Validating and monitoring data quality using internal tools and processes.
• Supporting data‑gathering workflows, including those involving web‑scraping or automated data acquisition.
• Investigating and resolving data‑related issues escalated from the Client Services team.
• Participating in an out‑of‑hours on‑call rotation to support critical data acquisition systems.
• Sharing knowledge widely and contributing to a positive, collaborative team culture.
• Mentoring junior engineers and helping raise the overall technical bar.

What You’ll Bring:

We’re looking for someone with the skills, experience, and mindset to thrive in this role. Ideally, you’ll have:

• Strong experience with at least one core programming language (e.g. Python, Java, Scala).
• Hands-on experience with Kubernetes, container orchestration, and Docker.
• Experience working with distributed systems and event‑driven technologies (e.g. Kafka).
• Solid understanding of networking fundamentals (HTTP, APIs).
• Experience with relational and NoSQL databases.
• Strong Git skills and familiarity with modern development practices (code reviews, testing, CI/CD).
• Comfort working in a Linux/Unix command-line environment.
• Experience designing and debugging software from inception to deployment.
• Excellent problem‑solving skills and a proactive approach to improving systems and processes.
• Strong communication and collaboration skills, and the ability to work effectively across teams.

Nice to Have (Not required but a bonus)

• Experience in sports data, betting tech, or large‑scale data pipelines.
• Familiarity with web‑scraping frameworks (e.g. Playwright, Selenium).
• Interest in using AI‑assisted development tools.

What You’ll Get From Us:

At [Employer hidden], you’ll be part of a well-established, technology-first company with ambitious growth plans and a global footprint. You’ll work alongside brilliant minds in a culture that’s fun, relaxed, and hardworking - where innovation and collaboration are at the heart of everything we do.

We offer a competitive benefits package tailored to your location, and we’re happy to share more details during the hiring process.

Interview Process

We like to keep things straightforward and respectful of your time. Most roles kick off with a friendly chat with the Talent Partner, followed by a couple of team interviews to dive deeper into your experience and fit. Depending on the role, there might be a short task or assessment - nothing scary, just a chance to show us how you think.

Please note, we use AI tools to record calls during the process. This helps us give you our full attention in the conversation and ensures we can review discussions accurately.

Equal Opportunities & Data Protection

[Employer hidden] is an equal opportunities employer. We welcome applications from all backgrounds and are committed to creating an inclusive, respectful workplace. If you require any adjustments during the recruitment process, please let us know.

We take data protection seriously. Any personal information shared during the application process will be handled in line with applicable privacy laws.