Senior AI-Native Data Engineer (AI)

Location: Hamburg, Germany

Company

hirify.global builds consumer products and a rewarded user engagement and acquisition platform for mobile gaming publishers.

What you will do

• Design, develop, and maintain scalable ETL pipelines on Databricks for app, web, and marketing partner data.
• Build and manage the Databricks Data Lakehouse, including legacy data product migrations and PySpark-based transformations.
• Monitor, troubleshoot, and optimize nightly and near-real-time data processing and in-house tracking systems.
• Use Claude and similar AI tools daily for planning, implementation, debugging, documentation, and project context management.
• Run parallel AI-assisted workflows with Git worktrees or equivalent version-control practices, reviewing and integrating the results.
• Collaborate with engineering and ML teams to maintain reliable data flows and stay current with data engineering and applied AI practices.

Requirements

• Based in Hamburg, Germany for this full-time permanent position.
• At least 4 years of professional data engineering experience and a degree in Computer Science, Engineering, Information Systems, or equivalent bootcamp experience.
• At least 1 year of current, hands-on experience designing, implementing, and optimizing ETL processes on Databricks.
• Hands-on experience with Databricks and AWS services such as S3, Kinesis, and Lambda or similar technologies.
• High proficiency in Python, SQL, and PySpark, with experience writing clean, maintainable, production-ready code.
• Fluent English and willingness to use AI tools daily for engineering and communication, including context engineering and parallel agent-assisted workflows.

Nice to have

• Experience with GitLab CI/CD pipelines.
• Familiarity with PostgreSQL.

Culture & Benefits

• Fast-paced environment focused on experimentation, execution, and measurable impact.
• High ownership, direct communication, and close collaboration across engineering and ML.
• Transport subsidy and learning budget.
• Wellness and gym benefits, workation, and bi-weekly team lunches.