Software Engineer - Data (All Genders)

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.

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

What you'll do - your playing field 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 team 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 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.

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.