Senior Software Engineer - Data;

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.

• • Start:
  Immediately
• •
  
  Location:
  
  Cologne, Berlin London or Remote
• • Workload:
  Full-time
• • Team:
  Teamwear/Tech

The most important basics – so we both know if it could work.

• • 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.

This is how you move our mission forward every day.

• • 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.

In addition to your core responsibilities, you will also:

• • 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.

We're not looking for a perfect CV. But you should recognise yourself in these points.

• • Broad Technical Skillset:
  You move between data pipelines, backend and some frontend, and are not afraid of AI or image analysis.
• • Data Automation:
  You have experience with automated data pipelines, web scraping and image processing.
• • Databases & Data Modelling:
  You have expertise in databases and data modelling.
• • Independent Working:
  You work independently, even when there is no second engineer in the room and the context comes from business teams.
• • Fast Learner:
  You quickly get familiar with unfamiliar domains and ask the right questions along the way.
• • 80/20 Mindset:
  You know when fast and good enough is the right approach and when the data needs to be 100% accurate because a decision is based on it.
• • Data Quality:
  You care about details when it comes to data quality and make uncertainties explicit.
• • Data-Driven Thinking:
  You don't stop at analysing the data. You identify what is in the data, what it means and what we should look at next - even if nobody asked.
• • Engineering Practice:
  You write clean, maintainable code and follow good engineering practices such as testing and code reviews.
• • Tools:
  Python, PostgreSQL, RabbitMQ, Grafana, Metabase, Pulumi, Kubernetes, AWS, LLM APIs

We want you to know what this role really looks like from day one.

• • If you are looking for clearly defined tickets, a large engineering team and a finished tech stack, this role is probably not for you.
• • You will work largely as a team of two within Engineering. Most of your day-to-day work will be with business people, not…