Rogon Technologies GmbH

Data Engineer

• 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

Senior Data Engineer – Data Foundation, Analytics