Senior AI Data Expert (f/m/x)

About This Opportunity

We are representing a confidential mobile gaming technology client in Hamburg that is building high-performing consumer products at scale. This is a senior-level role where you'll build and own the data foundation that powers their entire business—working across data engineering, machine learning, data science, and analytics as a true generalist.

This is not a role for maintaining pipelines or following predefined processes. You'll move to wherever the highest-value data problem is, building systems with an engineering mindset and entrepreneurial ownership. You build it, you own it, and you see the impact in production.

AI is core to how this team works. You'll use Claude and similar AI tools daily—not occasionally—to plan, build, debug, and document, including managing context and memory across projects, integrating AI directly into version control workflows, and running parallel agent workflows. The belief is that a small team of engineers working closely with AI can outperform a much larger traditional data team.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines on Databricks to integrate data from app, web, and marketing partner sources
• Build and manage the Data Lakehouse on Databricks, including migrating legacy data products and implementing transformations using PySpark
• Monitor and maintain the data stack for nightly and near-real-time processing, continuously optimizing pipelines for quality and integrity
• Turn open business questions into decision-ready analysis when that's where the highest-value work is
• Use AI tools daily to plan, build, debug, and document pipelines—treating AI as core to the job, not an add-on
• Integrate AI into version control workflows using Git worktrees or equivalent to run several AI-assisted branches side by side
• Maintain structured project context for AI tools (e.g., CLAUDE.md-style instructions) so they stay accurate as codebases grow
• Run multiple AI coding agents on separate tickets simultaneously, reviewing and integrating output rather than writing every line serially
• Move fluidly across data engineering, machine learning, data science, and analytics depending on team needs
• Stay current with industry best practices and emerging technologies in data engineering and applied AI

What We're Looking For

• Degree in Computer Science, Engineering, Information Systems, Data Science, or related field, or bootcamp experience
• Minimum 4 years professional experience across data engineering, machine learning, data science, or analytics
• Real experience in at least two of those disciplines, with comfort picking up others as needed
• Current, deep Databricks proficiency—at least one year of hands-on experience designing, implementing, and optimizing ETL processes (not brief or dated exposure)
• Hands-on experience with AWS services such as S3, Kinesis, and Lambda or similar technologies
• Experience with GitLab CI/CD pipelines and PostgreSQL is a plus
• Genuine AI fluency: daily use of tools like Claude across planning, building, debugging, and documentation (this is non-negotiable)
• Ability to set up and maintain project context and memory for AI coding tools with structured instructions and reusable prompts
• Comfort running several tickets in parallel with AI assistance using Git worktrees or similar approaches, with ability to explain your workflow in detail
• High proficiency in Python, SQL, and PySpark for data manipulation and processing
• Ability to write clean, maintainable, production-ready code
• Excellent problem-solving skills, strong attention to detail, and ability to work independently and collaboratively
• Fluent English, both verbal and written
• Genuine openness to a way of working where AI reshapes how data teams operate—not just tolerance of it

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your background and fit for this role. If there's a strong match, we'll submit your candidacy to our client for their consideration and guide you through their interview process.

Please apply only through our platform. Do not contact the client directly, as we are managing this search exclusively on their behalf.

Pay

Compensation details will be discussed during the screening process based on your experience and the client's budget for this role.

Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and are committed to fostering an inclusive recruitment process.