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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

Opportunity to be the founding member of a strategic new Data team
Purpose & impact – build something together that transforms the world of sports
Significant influence on CUJU’s growth, product strategy, and industry-leading innovation
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
Personal development – individual learning opportunities and room to grow beyond yourself
Diverse benefits – e.g. 30-day vacation, competitive compensation, corporate benefits, and moree environment,

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 from day one.
Directly influence player insights, product features, and long-term data strategy.

️ Is this your next big play?

Are you passionate about sports, communicative, and eager to actively shape the future of sports? Then we look forward to your application!

Please send us your CV directly via the application link for JOIN.

Please acknowledge that we can only accept applications online through our recruiting software due to GDPR. Thank you!

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