Software Engineer - Data (All Genders)

PREMATCH Sports GmbH·Kölnsenior

In short

→Construyes infraestructura de datos y pipelines para escalar el negocio de ropa de fútbol amateur.
→Trabajas con datos de web, imágenes y herramientas internas, con foco en calidad y automatización.
→Eres el segundo punto técnico en un equipo pequeño, con libertad para definir prioridades y tomar decisiones.

You speak English fluently

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What they ask for

✓6-8 años de experiencia en ingeniería de software y datos
✓Experiencia en pipelines de datos automatizados, web scraping e imagen
✓Conocimiento en bases de datos y modelado de datos
✓Capacidad para trabajar de forma independiente y autónoma
✓Habilidad para comunicarte con equipos de negocio, no solo técnicos
✓Enfoque práctico: sabes cuándo 'bien y rápido' basta y cuándo se necesita precisión total

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonPostgreSQLRabbitMQGrafanaMetabasePulumiKubernetesAWSLLM APIsWeb scraping

Who should you write to at PREMATCH Sports GmbH?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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. 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.

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