Senior AI-Native Data Engineer (f/m/x)

Location: Hamburg, Germany; flexible hybrid schedule with remote work on Mondays and Fridays and office attendance on Tuesdays, Wednesdays, and Thursdays.

Company

hirify.global operates a rewarded user engagement and acquisition platform for mobile gaming, helping players discover and engage with games while creating value for gaming studios.

What you will do

• Design, develop, and maintain scalable ETL pipelines on Databricks integrating app, web, and marketing partner data.
• Build and manage the Databricks Data Lakehouse, including legacy data product migrations and transformations with Databricks and PySpark.
• Monitor, troubleshoot, and optimize nightly and near-real-time processing for in-house tracking solutions, ensuring data quality and integrity.
• Use Claude and similar AI tools daily to plan, build, debug, document, and coordinate data engineering work.
• Run parallel AI-assisted workstreams using Git worktrees or equivalent approaches, review and integrate agent output, and maintain structured project context for AI tools.
• Collaborate with engineering and ML teams and stay current with data engineering and applied AI practices.

Requirements

• At least 4 years of professional data engineering experience, with a degree in Computer Science, Engineering, or Information Systems, or bootcamp experience.
• At least 1 year of current, hands-on Databricks experience designing, implementing, and optimizing ETL processes.
• Hands-on experience with Databricks and AWS services such as S3, Kinesis, and Lambda or similar technologies.
• Daily hands-on use of AI tools such as Claude for planning, building, debugging, and documentation.
• Ability to set up and maintain structured project context, memory, instructions, and reusable prompts for AI coding tools.
• Experience running parallel AI-assisted tickets with Git worktrees or a similar isolated and reviewable workflow, with the ability to explain the workflow in detail.
• High proficiency in Python, SQL, and PySpark, with the ability to write clean, maintainable, production-ready code.
• Excellent problem-solving skills, strong attention to detail, and the ability to work independently and collaboratively.
• Fluent English, both verbally and in writing, and openness to AI-led day-to-day coordination.

Nice to have

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

Culture & Benefits

• Fast-paced environment focused on speed, experimentation, ownership, and practical outcomes.
• Direct communication, respect for others, collaborative problem-solving, and shared responsibility.
• Transport subsidy, learning budget, wellness and gym benefits, and workation options.
• Bi-weekly team lunches and a flexible hybrid work model in Hamburg.