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

Location: Hybrid/ 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.

🚀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

🧠 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 and services.
• Strong experience with AWS and cloud-native data architectures.
• Familiarity with infrastructure concepts (CI/CD, monitoring, logging, deployments)
• Comfortable working with imperfect, real-world data and evolving requirements.
• Experience working in fast-paced or early-stage environments
• You understand that data work is software engineering.
• 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.