Senior Data Engineer – Data Foundation, Analytics

Rogon Technologies GmbH

Senior Data Engineer at CUJU building the data foundation for talent scouting in sports. Transforming fragmented data into a scalable platform for insights and analytics.

Posted 5/29/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

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
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’ll need

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
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

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

data engineeringmachine learning engineeringPythonSQLdata pipelinesdata servicesdata modelingdata architecturecloud-native architecturesdata analysis

Soft Skills

communicationcollaborationproblem-solvingadaptabilitydecision-makingteamworkorganizational skillsattention to detailcritical thinkingpassion for sports