Senior 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 - 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?

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.

The Prematch Setup

We want you to love joining us - and still love being part of the team a long time from now.

• Be part of it from the start – Shape how Prematch grows and transforms amateur football.
• Competitive salary – You’ll be paid fairly and transparently.
• Employee participation (VSOP) - directly benefit from the company’s success. …