Senior Software Engineer - Data Acquisition

• 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

• 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

• 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

Competitive benefits package tailored to your location