Senior Software Engineer - Data Acquisition (London)

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:

In this role, you'll take ownership of key responsibilities that help drive team and business success. Your day-to-day will include:

• 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.

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.

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

TXODDS 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., At TxODDS, 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.