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 to help make our Teamwear business scalable beyond its current scope - building the data infrastructure, pipelines and tools that power the next stage of Teamwear.
Main information: Start: Immediately | Location: Cologne, Berlin, London or Remote | Workload: Full-time | Team: Teamwear/Tech
Is This a Match?
- 100% remote: This role is generally available 100% remote within the EU or UK. If you'd still love to work from one of our offices in Cologne, Berlin or London - you're more than welcome
- Experience: You bring 6-8 years of experience in software engineering and data engineering
- Languages: You speak English fluently - German is a big plus
- Startup spirit: You'd rather shape things than just tick boxes - even when that means figuring stuff out without a finished roadmap
What You'll Do — Your Playing Field
- Data Pipelines: You build and maintain data pipelines for automated data collection, structured so that new sources and markets can be added quickly
- Algorithms: You develop algorithms to extract relevant information from websites and images
- Data Quality: You ensure data quality through validation, confidence levels, monitoring, and clean handovers internally and to partners
- Data Infrastructure: You manage and further develop the data infrastructure of the Teamwear area
- Technical Point of Contact: You act as the second technical point of contact for the Teamwear area
- Internal Tools: You develop internal tools that enable the team to collect and correct data themselves
- Analytics & Reports: You create analytics and reports for internal stakeholders and external partners
What You Bring to the Team
- Broad technical skillset moving between data pipelines, backend and some frontend, not afraid of AI or image analysis
- Data automation experience with automated data pipelines, web scraping and image processing
- Expertise in databases and data modelling
- Independent working, even when there is no second engineer in the room
- Fast learner who quickly gets familiar with unfamiliar domains
- 80/20 mindset - knowing when fast and good enough is right and when data needs to be 100% accurate
- Care about details in data quality and make uncertainties explicit
- Data-driven thinking beyond just analysis
- Clean, maintainable code following good engineering practices such as testing and code reviews
- Tools: Python, PostgreSQL, RabbitMQ, Grafana, Metabase, Pulumi, Kubernetes, AWS, LLM APIs
Good to Know
You will work largely as a team of two within Engineering. Most of your day-to-day work will be with business people, not engineers. A large part of the role is data collection and data quality, rather than greenfield ML. AI-first: we work AI-first, and AI tools are an active part of our workflow.
The Prematch Setup
Be part of it from the start; competitive salary; employee participation (VSOP); three cool offices in Cologne, Berlin, and London; remote work; 27 vacation days per year; team events at our locations; offsites with the whole team.