Our betting and entertainment products and services set the standard in our industry. And our work fighting back against doping and match fixing helps to keep sport clean for competitors and fans around the world.
We can only do all that because we’re lucky enough to have the best people in the business. People with ideas. With an entrepreneurial attitude. And with unbreakable industry relationships.
Join us. Make the team that’s changing the way the world experiences sport.
Using the latest technology to develop new products that help sport grow. So our clients can make the impossible possible.
Delivering the fastest sports data there is. Across markets—and continents.
Building partnerships based on trust. And creating an environment people thrive in, driven by integrity and impact.
Here you can browse our latest vacancies, and use the filter tool to find the right role for you
Passionate sports fans. Technical wizards. Data geniuses. Our engineers see themselves in lots of different ways, but they all work towards a common goal: keeping Sportradar in pole position with a greater range of data - and more accurate data - than you’ll find anywhere else.
Information specialists who confidently extract, analyse, shape, and slice data using different protocols and technologies
Big-picture thinkers who can spot commonalities and work with technical colleagues to create data extraction frameworks
Collaborative colleagues who’ll work closely with developers, share knowledge, and mentor junior team members
Experts in modern, lightweight microservices - like Java and TypeScript
A test-driven mindset: if it’s not tested, it’s broken.
Over 1,000 companies around the world rely on our data depth and quality. We process around 30TB of metrics every month - and publish 300 million odds changes. It’s a 24/7 stream of information, and we’re constantly improving the ways we deliver it to our clients.
In short: for us to stay ahead of the curve, you should too.
In return, we’ll give you what you need to get the job done - and stay out of your way. We use the Spotify - or should we say “Sportify”- model to put local decision-making first. It keeps us fast and flexible. As part of that, we’ve built in ‘make it better’ time - dedicated time for you to help shape the tech stack and ways of working, invest in ideas you care about, and brush up or add on new skills of your own. And we train our people in AWS.
Our ‘Sportify’ Tribe structure embeds local autonomy and decision-making, inspired by Spotify’s agile structure.
We add ‘make it better’ time to hone our products and your personal development.
And our ‘hub & spoke’ model keeps product engineering consistent across the group.
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