Hey 👋

Imagine grassroots 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.

I'm Lisa – and I'm looking for someone who wants to help push our mission forward.

Is that you? Let's find out together. 👇

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Start: Immediately

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Location: Cologne, Berlin London or Remote

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Type: Fulltime

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Team: Teamwear/Tech

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Is this a match?

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. </aside>

🏟️ Your playing field

Here's why this role matters for our mission.

• Teamwear is one of our three company headlines, but technically it currently depends on one person.
• As long as this remains the case, the area cannot scale beyond its current scope.
• Your goal: To enable Teamwear to scale beyond its current scope.

⚽ How you'll make a difference

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.

💪 What you bring to the table

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

⭐️ Bonus

Not a must – but this'll definitely earn you extra points.

• Experience with AWS, Kubernetes or IaC (Pulumi/Terraform). You can also learn this with us.
• Experience presenting and preparing data for non-technical audiences.
• A personal connection to amateur football.

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Good to know

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 engineers.
  • You have two connections: technically to Engineering and on the content side to the Teamwear team. This gives you a lot of freedom and means you need to set your own priorities.
  • A large part of the role is data collection and data quality, rather than greenfield ML. The exciting part is turning messy, real-world sources into reliable data.
  • The area is new. There is no finished setup for you to work with — you will help build it.
  • AI-first: We work AI-first, and AI tools are an active part of our workflow. </aside>

🏟️ Your future team

Every strong team needs different types of players. 🔗Here you can explore our departments and see who might soon be on the pitch with you.

🖤 Benefits

We want you to love joining us - and still love being part of the team a long time from now. There's more behind every benefit. Just click the little triangle to find out.