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# Senior Data Engineer - Data Foundation & Analytics

- **Company:** Cuju
- **Location:** Frankenthal (Pfalz), Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 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), Machine Learning, Modular Design, Operational Databases, Cloud Services, Standard Sql, Software Engineering, Data Logging, Snowflake, Data Layers, Build Management, Core Data, Data Pipelines, Databricks
- **Published:** June 23, 2026
- **Apply:** https://www.careerjet.de/jobad/de8fdee8d96ae64923d5bc0226743f104c

## About the Role

* 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.

## 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


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