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About the Role
We are building a digital platform to serve the passion of amateur football, providing a trusted source for results, stats, and market values immediately after matches.
Responsibilities
- Ensure accuracy of football data including results, lineups, goals, appearances, stats, and market values.
- Build and operate data processing services and Python pipelines to transform match data into app content.
- Establish and maintain data quality through validation, monitoring, and alerts, addressing root causes of issues.
- Develop expertise in grassroots football data intricacies, implementing system rules to enforce data accuracy.
- Consider the end-user impact of data accuracy, ensuring data presentation is correct for players and clubs.
- Contribute to the evolution of data models in collaboration with data acquisition and processing engineers.
- Provide technical support for data and business colleagues regarding data requests, queries, and analyses.
- Develop internal tools to empower support and product teams with self-service data checking and correction capabilities.
Requirements
- 5+ years of experience as a software engineer with a data focus.
- Proven ability to write production code and end-to-end ownership of a pipeline or dataset.
- Demonstrated self-starter ability to navigate and understand existing codebases, data, and history independently.
- Experience planning, reviewing, and owning code generated with coding agents.
- Adherence to a development rhythm of testing first, small merge requests, and peer review.
- Interest in understanding the intricacies of grassroots football.
- Proficiency in English as the primary working language.
- Experience building and running production data pipelines.
- Shipped Python services with tests and code review.
- Strong SQL skills and experience with data modeling in PostgreSQL or similar.
- Experience owning dataset quality through checks, monitoring, and gap identification.
- Experience making unreliable data (inconsistent names, duplicates, late corrections) reliable.
- Ability to clearly explain data problems to non-technical stakeholders.
Skills
- Python
- PostgreSQL
- RabbitMQ
- AWS
- Kubernetes
- GitLab CI
- Grafana
- Metabase
- Claude Code
- SQL
- Data Modeling
- Data Quality Management
- Pipeline Development
- Service Development
- Communication
Location
- Office Cologne
- Office Berlin
- Office London
- Remote within the EU
- Remote within the UK
Work Type
- Hybrid
- Remote
- Full-time
Experience Level
- 5+ years
Benefits
- Employee participation (VSOP)
- Modern tech setup
- AI-powered work tools
- 27 days holiday per year
- Special parental leave arrangement
- Flexible remote work options
- Opportunity to work from other offices
- Work from anywhere flexibility
- Team events
- Offsites with the whole team
About the Company
- We are building a digital platform to serve the passion of amateur football.
- Our mission is to give amateur football the digital home it deserves.
- We believe the passion for football deserves a digital home.