Senior Data Engineer - Data Foundation & Analytics (m/f/d)

Job description

Location: Remote (Germany-based) Start: ASAP | Languages: Fluent English Note that we cannot provide any visa support. 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, CUJU enables 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. 🌟 Your Mission: As CUJU’s first Senior Data Engineer, you will build the data foundation of the company. Your mission is to transform fragmented data across multiple systems into a reliable, scalable, and usable data layer that enables: • Clear business metrics (e.g. MAU, retention) • Product decision-making • Future player performance insights You will play a critical role in shaping how data is structured, connected, and used across CUJU. Tasks 🚀What You’ll Work On: Define and implement core data models (users, events, performance) Design and operate robust, production-grade data pipelines Establish a single source of truth for key business and product metrics Structure data for business and product analysis (retention, funnels, activation) Build and deploy data services and jobs on AWS (e.g. S3, Lambda, ECS/EKS, Glue, Athena, Redshift, etc.). Make pragmatic decisions on how data is stored, processed, and accessed Evaluate and introduce tools (e.g. BigQuery, Snowflake, Databricks) where they add clear value Ensure the architecture scales with product, AI, and data growth without overengineering Optimize pipelines for scalability, cost efficiency, and performance. Write clean, maintainable, and well-structured Python code following software engineering best practices. Work closely with Product, Engineering, AI, and Business teams Requirements 🧠 What You Bring: 5-7+ years of professional experience in data-heavy roles (data engineering, ML engineering, or similar). Strong programming skills in Python (clean architecture, testing, modular design not just scripts). Solid SQL skills and experience designing analytical schemas. Hands-on experience building production data pipelines…