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Software Engineer - Data;

in 50667, Köln, Nordrhein-Westfalen, Deutschland
Unternehmen: United States Digital Space LLC
Vollzeit position
Verfasst am 2026-08-27
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Dateningenieur, Daten Analyst, Künstliche Intelligenz Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 70000 - 120000 EUR pro Jahr EUR 70000.00 120000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: 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.

Your playing field
  • 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
  • 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
  • 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
  • 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.
Benefits
  • Competitive salary – You’ll be paid fairly and transparently.
  • Employee participation (VSOP) - directly benefit from the company’s success.
  • Three cool offices in Cologne, Berlin, and London - true startup vibes to work and grow together.
  • Want to visit another office? We support that too!
  • Remo…
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