You play a central role in development of our Sports Data Analytics platform. You are the one that provides robustness, scalability and data-integrity to the platform and make sure that our clients enjoy a seamless experience. You know your way around the API ecosystem. You love to work with big datasets and enjoy performance optimisations. But this is not only about technical stuff, you also interact on a daily base with our core mathematicians, machine learning experts and football consultants in order to make our platform better each day. You like the vibe of working at a startup, you take pride in your work and want to be a part of a team that changes the way billions of fans around the globe experience the game of football!
We are looking for a medior/senior software engineer with hands-on experience in either Java, Python or NodeJS. You also have solid SQL experience (MS SQL / PostgreSQL / MySQL or equivalent). NoSQL Database (e.g. MongoDB) experience is a plus. Amazon AWS experience is a big plus. You know how to create and consume WebAPIs (HTTP/REST/JSON or streaming) that scale.
SciSports is one of the fastest growing sports analytics companies in the world and a leading provider of data
intelligence for professional football organizations. The European Union selected SciSports as one of the next
European Unicorns and the HYPE Foundation elected the company as the most innovative football company in the world (2017).
SciSports created an index (SciSkill Index) to determine the quality and potential of over 300.000 players around the globe. The index is validated and outperformed the bookmakers with an average ROI of 9,4%. Our new, patented product BallJames is the first to fully-automate the data generation of football matches.
Our mission: SciSports uses data intelligence to understand football with the goal to improve the game of football on the pitch and enrich the fan experience of billions of fans around the globe.