Hey!
Imagine amateur football finally had the platform it deserves. Every weekend, millions of people write their own personal football stories – on pitches, in clubs and on the sidelines. We believe this passion deserves a digital home too. That's exactly what we're building every single day.
tl;dr
We’re looking for someone who keeps our football data right: results, stats and market values players can trust, especially right after the final whistle.
Main information
Start: Immediately
Location: Office Cologne, Berlin, London or remote
Type: Full-time
Team: Core Systems
Is this a match?
The basics - so we both know if it could work.
Flexible: Hybrid from Cologne, Berlin or London, or remote within the EU or UK - we'll find the mix that works for you.
5+ years in: You've been a software engineer with a data focus for 5+ years, still write production code yourself and have owned a pipeline or dataset in production end to end.
Self-starter: Drop you into a codebase with years of history and you'll find your way - reading the code, the data and the git log yourself, and asking "why does it look like this?" before you change it.
Agent-native: We build with Claude Code every day. Whichever coding agent you've used so far, you plan with it, review every line it writes, and own what ships.
Small steps, shipped often: Tests first, small merge requests, a teammate reviews - then it's live. That's our rhythm.
Football-curious: You don't need to know everything about grassroots football yet - but you want to understand how it works, inside out.
English first: It's our working language. We're an international team, though, so you'll also hear German, Spanish, Dutch and more around the (virtual) office.
What you'll do - your playing field
This is how you move our mission forward every day.
You keep our football data right. Results, lineups, goals, appearances, stats and market values: you make sure what reaches the app matches what happened on the pitch - and what our users tell us happened there.
You build and run data processing services. Python services and pipelines that turn match data from many sources into the teams, players and stats in our app - tested, monitored and ready for the weekend peak.
You make data quality measurable. Validation, monitoring and alerts - and when something's off, you fix the root cause, not just the symptom.
You become one of our football data experts. Age groups, season changes, renamed and merged teams, duplicate players, players who remember the match differently - you learn how grassroots football data really behaves and turn that knowledge into rules our systems enforce.
You think about the player at the end of the pipeline. A missing goal or a wrong appearance is someone's weekend. You care how data shows up for players and clubs, not only whether the job ran.
In addition to your core responsibilities, you will also:
Shape how our data models evolve, together with the engineers who own data acquisition and processing
Support our data and business colleagues on the technical side of data requests - the queries, data pulls and checks behind analyses for internal teams and partners
Build small internal tools so our support and product colleagues can check and fix data themselves
What you bring to the team
We're not looking for a perfect CV. But you should recognise yourself in these points.
Data pipelines: You've built and run production data pipelines that others relied on.
Python: You've shipped Python services with tests and code review.
SQL & data modelling: You're strong in SQL and model data cleanly on PostgreSQL or similar.
Data quality: You've owned the quality of a dataset - with checks, monitoring and gaps made explicit.
Messy data: You've made data you don't control reliable - inconsistent names, duplicates, late corrections and all.
Communication: You explain a data problem clearly to people who don't write SQL.
Tools: Python, PostgreSQL, RabbitMQ, AWS, Kubernetes, GitLab CI, Grafana,…