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.

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.

Your playing fieldHere'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 differenceThis 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 tableWe'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.

BonusNot 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.

BenefitsWe 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.

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