Senior Data Engineer - Data Foundation & Analytics

Cuju
Frankenthal (Pfalz), Germany
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Multitier Architecture Artificial Intelligence Amazon Web Services Amazon S3 Data Analysis BigQuery Computer Programming Continuous Integration Data as a Services Information Engineering Data Infrastructure Python (Programming Language)
+13 more
Machine Learning Modular Design Operational Databases Cloud Services Standard Sql Software Engineering Data Logging Snowflake Data Layers Build Management Core Data Data Pipelines Databricks

Job description

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

  • 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 & conditions

  • 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! CUJU An AI based technology which gives football talents the chance to improve their skills, compete against friends and the global CUJU community and get scouted by a record-proven network of international senior scouts and specialists. At any time, no matter who or where the talents are. Latest AI technology evaluates, scores, and ranks each athlete in personal spiderwebs and the CUJU leaderboard. International pro players and top-class experts constantly develop new exercises and provide the talents with up-to-date information for the right lifestyle, which helps the talents to constantly improve. Amateur clubs and football schools on each continent are already using CUJU providing coaches with data-based insights for measuring, improving and comparing their teams.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on careerjet.de

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou ¡ Coffee With Developers

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 ¡ LIVE

4:21 min

Challenges of traditional mobile data synchronization

Timothy Marland ¡ WWC 2023

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph ¡ LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 ¡ LIVE

3:44 min

Automating storage savings with S3 intelligent tiering

SÊbastien Stormacq ¡ WWC 2021

Videos

See all

Related articles

See all