Senior AI Data Expert (AI)

Location: Hamburg, Germany; flexible hybrid model with work from home 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 Databricks ETL pipelines integrating app, web, and marketing partner data.
• Build and manage the Databricks Data Lakehouse, migrate legacy data products, and implement 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.
• Turn open business questions into decision-ready analysis and contribute across data engineering, machine learning, data science, and analytics.
• Use Claude and similar AI tools daily for planning, building, debugging, documentation, communication, and parallel agentic work.
• Use Git worktrees or equivalent approaches to run, review, and integrate multiple AI-assisted branches and maintain structured project context for AI tools.

Requirements

• At least 4 years of professional experience across data engineering, machine learning, data science, or analytics, plus a degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or bootcamp experience.
• Professional experience in at least two of data engineering, machine learning, data science, or analytics, with the ability to work across the others as needed.
• 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 written and spoken English.

Nice to have

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

Culture & Benefits

• Fast-paced, ownership-driven environment focused on essential work, experimentation, and rapid learning.
• Respectful, direct communication and collaborative problem-solving.
• Flexible hybrid work arrangement in Hamburg.
• Transport subsidy, learning budget, wellness and gym benefits, workation, and bi-weekly team lunches.
• AI is treated as a core part of daily work and team productivity.