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

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 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.

Benefits

- Be a founding member of a strategic new Data teamPurpose & impact

- Help build something that transforms the world of sports

- Shape CUJU’s future and influence our growth, product strategy, and innovation

- Sports meets technology : Work with international clubs, partners, athletes, and influencers

- Creative freedom & agility: Take ownership, shape processes, and benefit from fast decisionsLearn & grow

- Benefit from individual development opportunities and our Masterplan learning platform

- Stay active with Wellpass and access a broad network of fitness, sports, and wellness partnersBenefits that support you

- 30 days’ vacation, competitive compensation, Corporate Benefits , and more

🎯 Your Impact:

- Build the technical foundation of CUJU’s data platform.

- Enable scalable, reliable, and production-ready analytics across the company.

- Shape how data is ingested, processed, and used in products