Company Overview
Make the Unseen seen! Our goal is to reinvent scouting in football and build the #1 global scouting platform for identifying and developing talent. With the help of modern AI technology, we enable every young football talent to be seen - regardless of origin, gender, or social background. We create fair opportunities and transparent pathways into professional sports. Our platform connects athletes, clubs, and organizations worldwide to rethink scouting - data-driven, objective, and mobile. Together, we are shaping the next generation of global talent scouting.
Responsibilities
- Design, build, and maintain robust data ingestion pipelines for large-scale player and performance data
- Implement clean, versioned, and well-tested data flows from raw data → analytics → production systems
- Own data quality, monitoring, and reliability in production
- Write clean, maintainable, and well-structured Python code following software engineering best practices
- Build and deploy data services and jobs on AWS (e.g. S3, Lambda, ECS/EKS, Glue, Athena, Redshift, etc.)
- Optimize pipelines for scalability, cost efficiency, and performance
- Develop robust predictive models using machine learning, statistical analysis, and advanced analytics techniques
- Collaborate closely with Product, AI, and Engineering teams to translate analytical insights into innovative, data-driven product features and offerings
- Drive data-driven decision-making across product development, business strategy, and operational improvements
Requirements
- 7+ years of professional experience in data-heavy roles (data science, data engineering, ML engineering, or similar)
- Strong programming skills in Python (clean architecture, testing, modular design)
- Solid SQL skills and experience designing analytical schemas
- Hands-on experience building production data pipelines and services
- Strong experience with AWS and cloud-native data architectures
- Familiarity with infrastructure concepts (CI/CD, monitoring, logging, deployments)
- Experience applying statistical methods and ML in real products
- Comfortable working with imperfect, real-world data and evolving requirements
- Focus on business and product impact, not just model performance
- Proven ability to translate complex data insights into clear, impactful business recommendations
- Excellent communication skills in English, with the ability to effectively collaborate with cross-functional and international teams
- Passionate about sports, performance analytics, and leveraging data to make a real-world impact
Benefits
- Opportunity to be the founding member of a strategic new Data team
- Significant influence on our growth, product strategy, and industry-leading innovation
- Diverse benefits - e.g. 30-day vacation, competitive compensation, corporate benefits and more
- Work at the intersection of sports and technology - with international clubs, partners, athletes, or influencers
- Creative freedom & responsibility - actively shape processes, contribute your ideas, and make a real impact
- Short decision-making paths - direct communication, quick decisions, and close collaboration with management
- Flexibility - hybrid or on-site in our Munich office
- Personal development - individual learning opportunities and room to grow beyond yourself