Senior Data Engineer – Data Foundation, Analytics

Rogon Technologies GmbH

. Define and implement core data models for users, events, and performance .

Posted 9/20/2026full-timeRemote • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing data pipelines and services on AWS, utilizing Python and SQL for data modeling and analysis. Capable of collaborating with cross-functional teams to drive data strategy and insights in a fast-paced environment.

Highest-signal resume keywords

Data Pipeline DevelopmentAWS Cloud ArchitecturePython ProgrammingSQL Schema DesignData Analytics

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Hard Skills

Data ModelingData Pipeline OptimizationProduction Data ServicesAnalytical Schema DesignClean ArchitectureModular DesignCI/CD PracticesMonitoring and LoggingPerformance AnalyticsData Processing

Soft Skills

Excellent CommunicationCollaborationAdaptability

Tools & Technologies

AWS S3AWS LambdaAWS ECS/EKSAWS GlueAWS AthenaAWS RedshiftBigQuerySnowflakeDatabricks

Industry Keywords

Data EngineeringMachine Learning EngineeringPerformance AnalyticsCross-Functional CollaborationFast-Paced Environments

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Define and implement core data models for users, events, and 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, including retention, funnels, and activation
Build and deploy data services and jobs on AWS, including S3, Lambda, ECS/EKS, Glue, Athena, and Redshift
Make pragmatic decisions about data storage, processing, and access
Evaluate and introduce tools such as BigQuery, Snowflake, and Databricks where valuable
Ensure the architecture scales with product, AI, and data growth without overengineering
Optimize pipelines for scalability, cost efficiency, and performance
Write clean, maintainable, well-structured Python code following software engineering best practices
Collaborate closely with Product, Engineering, AI, and Business teams
Build CUJU’s technical data-platform foundation
Enable scalable, reliable, production-ready analytics across the company
Shape how data is ingested, processed, and used in products
Influence player insights, product features, and long-term data strategy

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, including clean architecture, testing, and modular design
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 CI/CD, monitoring, logging, and 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
Ability to collaborate effectively with cross-functional and international teams
Passion for sports, performance analytics, and leveraging data for real-world impact
Germany-based work location
No visa support is provided

Benefits

Comp & perks

Be a founding member of a strategic new Data team
Help build something that transforms the world of sports
Shape CUJU’s future and influence our growth, product strategy, and innovation
Work with international clubs, partners, athletes, and influencers
Creative freedom and agility: take ownership, shape processes, and benefit from fast decisions
Individual development opportunities
Masterplan learning platform
Wellpass access to a broad network of fitness, sports, and wellness partners
30 days’ vacation
Competitive compensation
Corporate Benefits