Senior Data Engineer - Data Foundation & Analytics (m/f/d
Verfasst am 2026-08-04
-
Software Entwicklung
Dateningenieur
Location: Frankenthal (Pfalz)
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.
TasksWhat 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. Big Query, Snowflake, Databricks) where they add clear value
- Ensure the architecture scales with product, AI, and data growth without over engineering
- 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.
- 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 more
- 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.
We are looking for a passionate, communicative, and eager individual to shape the future of sports. If you are interested in this challenge, we welcome your application.
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