Senior AI-Native Data Engineer (f/m/x) — On-site in Hamburg, Germany.

Overview exmox is building a scalable user acquisition platform for mobile gaming. As a Senior AI-Native Data Engineer, you will operate at the intersection of data, engineering, and product, designing and scaling the data foundation that powers our business. AI is core to how we work: you will use Claude and similar AI tools daily to plan, build, debug, and document, integrating AI directly into your version control workflow and maintaining context across projects. You will collaborate closely with engineering and ML teams to ensure seamless data flow and a performant data platform.

What You’ll Own - Data Pipelines & Integration: Design, develop, and maintain scalable ETL pipelines on Databricks to integrate data from app, web products, and marketing partner data, ensuring reliable data flow across the business. - Data Lakehouse Ownership: Build and manage the Data Lakehouse on Databricks, including migrating legacy data products, and implement data transformations and processing logic using Databricks and PySpark. - Monitoring & Optimization: Monitor and maintain the data stack for nightly and near-real-time processing of in-house tracking solutions, continuously optimizing and troubleshooting pipelines to ensure data quality and integrity. - AI-Native Workflow: Use Claude and similar AI tools daily, not occasionally, to plan, build, debug, and document pipelines, treating AI as a core part of the job. - Version Control & Worktrees: Integrate AI directly into the version control workflow, using Git wo

Senior AI-Native Data Engineer (f/m/x) — On-site in Hamburg, Germany.

Overview exmox is building a scalable user acquisition platform for mobile gaming. As a Senior AI-Native Data Engineer, you will operate at the intersection of data, engineering, and product, designing and scaling the data foundation that powers our business. AI is core to how we work: you will use Claude and similar AI tools daily to plan, build, debug, and document, integrating AI directly into your version control workflow and maintaining context across projects. You will collaborate closely with engineering and ML teams to ensure seamless data flow and a performant data platform.

What You’ll Own - Data Pipelines & Integration: Design, develop, and maintain scalable ETL pipelines on Databricks to integrate data from app, web products, and marketing partner data, ensuring reliable data flow across the business. - Data Lakehouse Ownership: Build and manage the Data Lakehouse on Databricks, including migrating legacy data products, and implement data transformations and processing logic using Databricks and PySpark. - Monitoring & Optimization: Monitor and maintain the data stack for nightly and near-real-time processing of in-house tracking solutions, continuously optimizing and troubleshooting pipelines to ensure data quality and integrity. - AI-Native Workflow: Use Claude and similar AI tools daily, not occasionally, to plan, build, debug, and document pipelines, treating AI as a core part of the job. - Version Control & Worktrees: Integrate AI directly into the version control workflow, using Git wo