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About the Role
We are building a digital platform to give amateur football the recognition it deserves, creating a home for the passion millions feel every weekend. This role is crucial for scaling our Teamwear area, which currently depends on a single individual, and enabling it to grow beyond its current scope.
Responsibilities
- Build and maintain data pipelines for automated data collection, designed for quick addition of new sources and markets.
- Develop algorithms to extract relevant information from websites and images.
- Ensure data quality through validation, confidence levels, monitoring, and clean handovers.
- Manage and further develop the data infrastructure for the Teamwear area.
- Act as the second technical point of contact for the Teamwear area.
- Develop internal tools to enable the team to collect and correct data independently.
- Create analytics and reports for internal stakeholders and external partners.
Requirements
- Bring 6-8 years of experience in software engineering and data engineering.
- Speak English fluently; German is a significant advantage.
- Possess a broad technical skillset, comfortable with data pipelines, backend, and some frontend development, and not afraid of AI or image analysis.
- Have experience with automated data pipelines, web scraping, and image processing.
- Demonstrate expertise in databases and data modeling.
- Work independently, even without immediate engineering support and with context from business teams.
- Quickly familiarize yourself with unfamiliar domains and ask pertinent questions.
- Understand the 80/20 principle, knowing when a fast and good-enough approach is suitable versus when 100% accuracy is required.
- Care about data quality details and make uncertainties explicit.
- Exhibit data-driven thinking, analyzing data to identify insights and suggest next steps.
- Write clean, maintainable code and follow engineering best practices like testing and code reviews.
- Experience with Python, PostgreSQL, RabbitMQ, Grafana, Metabase, Pulumi, Kubernetes, AWS, LLM APIs is expected.
- Experience with AWS, Kubernetes, or IaC (Pulumi/Terraform) is a bonus.
- Experience presenting and preparing data for non-technical audiences is a bonus.
- A personal connection to amateur football is a bonus.
Skills
- Software Engineering
- Data Engineering
- Data Pipelines
- Algorithm Development
- Data Quality Assurance
- Data Infrastructure Management
- Web Scraping
- Image Processing
- Databases
- Data Modeling
- Backend Development
- Frontend Development
- AI
- Image Analysis
- Independent Work
- Fast Learning
- 80/20 Mindset
- Data-Driven Thinking
- Clean Code
- Maintainable Code
- Testing
- Code Reviews
- Python
- PostgreSQL
- RabbitMQ
- Grafana
- Metabase
- Pulumi
- Kubernetes
- AWS
- LLM APIs
Location
- Cologne
- Berlin
- London
- Remote (EU/UK)
Work Type
- Full-time
- 100% Remote (EU/UK)
- Hybrid (1-3 days onsite)
- Flexible Remote Work
Experience Level
- 6-8 years of experience in software engineering and data engineering
Salary/Compensations
- Competitive salary
Benefits
- Be part of it from the start – Shape how Prematch grows and transforms amateur football.
- Competitive salary
- Employee participation (VSOP)
- Three cool offices in Cologne, Berlin, and London with startup vibes
- Support for visiting other offices
- Remote work options (1-3 days onsite or 100% remote for Tech & Product roles)
- Flexible work from outside usual location
- Modern IT equipment
- 27 vacation days per year
- Special arrangements for parents
- Team events at locations
- Offsites with the whole team
About the Company
- We are building a digital platform to give amateur football the recognition it deserves, creating a home for the passion millions feel every weekend.
- We believe this passion deserves a digital home too.
- We work AI-first, and AI tools are an active part of our workflow.