About the Position

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

Hamburg, Germany

Full-time

Permanent employee

Your Mission

At exmox, you'll be stepping onto a global, highly competitive playing field, solving real problems in environments that push you beyond your comfort zone. We move fast, cut the noise, and focus on what actually matters, because in our industry, speed wins. With 50M+ platform downloads, we're rapidly scaling one of the most exciting innovations in mobile gaming: a rewarded user engagement and acquisition platform that helps players discover, and engage with games they enjoy - creating lasting value for both players and gaming studios.

As Senior AI-Native Data Engineer (f/m/x), you won't just be maintaining pipelines or following predefined processes. You'll build and scale the data foundation that powers our entire business, with an engineering mindset and entrepreneurial ownership: you build it, you own it, and you see the impact in production. At exmox, we're embracing AI as part of how we work, not just what we build, and in this role it is core to everything you do: you'll use tools like Claude daily to plan, build, debug, and document, and run parallel agent workflows on separate tasks. We believe a small team working closely with AI can outperform a much larger traditional data team. If that mindset speaks to you, you'll fit right in.

If you're excited by complex systems, high traffic, data-driven decisions, and the chance to grow by solving challenging problems, we want to hear from you.

Responsibilities

Data Pipelines & Integration: Design, develop, and maintain scalable ETL pipelines on Databricks to integrate data from various sources, ensuring reliable and efficient 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 AI tools like Claude daily to plan, build, debug, and document your pipelines, treating AI as a core part of the job rather than an add-on.
Version Control & Worktrees: Integrate AI directly into your version control workflow, using Git worktrees (or an equivalent) to run several AI-assisted branches of work side by side.
Context & Memory Management: Maintain structured project context for your AI tools, so they stay accurate and useful as pipelines and codebases grow.
Parallel Agentic Work: Run multiple AI coding agents on separate tickets at the same time, reviewing and integrating their output.
AI-Assisted Communication: Use AI to help manage day-to-day coordination, including in Slack.
Cross-Functional Collaboration: Work closely with engineering and ML teams to ensure seamless data flow and integration into the Data Lakehouse.
Staying Ahead: Stay updated with industry best practices and emerging technologies in data engineering and applied AI, bringing new ideas and approaches to the team.

Requirements

Technical Foundation: Degree in Computer Science, Engineering, or Information Systems, or bootcamp experience, with a minimum of 4 years of professional experience in data engineering.
Current, Deep Databricks Experience: Proficient in designing, implementing, and optimizing ETL processes on Databricks, with at least a year of current, hands-on depth.
Tools & Technologies: Hands-on experience with Databricks and AWS services such as S3, Kinesis, and Lambda. Experience with GitLab CI/CD pipelines and familiarity with PostgreSQL are a plus.
Genuine AI Fluency: Use AI tools like Claude hands-on, daily, across planning, building, debugging, and documentation.
Context Engineering: Set up and maintain project context and memory for AI coding tools, structured instructions, and reusable prompts.
Agentic & Worktree Fluency: Comfortable running several tickets in parallel with AI assistance, using Git worktrees or a similar approach.
Programming Skills: Highly proficient in Python, SQL, and PySpark for data manipulation and processing, and you write clean, maintainable, production-ready code.
Mindset & Communication: Excellent problem-solving skills, strong attention to detail, and the ability to work independently and collaboratively. Fluent in English, both verbally and in writing, comfortable letting AI take on a meaningful share of day-to-day coordination.

We Offer

Speed is the feature. We move fast, test fast, and multiply our pace with AI.
Focus on the essential. Done is better than perfect.
See it. Own it. Solve it. The first to see it is best placed to fix it.
Respect others. Trust multiplies. Respect is non-negotiable.
Perks that help you focus on what matters. Transport subsidy, learning budget, wellness and gym, workation, bi-weekly team lunches, and more.

Please note: this is not a remote only position, we offer a flexible hybrid model here in Hamburg, Germany - working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday!

About the Company

At exmox, we are building the next European tech challenger in the user acquisition space. We are part of the Aonic Group, named one of the top 10 fastest-growing companies in Europe in 2026. Our ambition is clear: to build a category-leading company through strong execution, continuous improvement, and a relentless focus on performance. This is not a company built for comfort. We are building for growth, impact, and long-term success.

Equal opportunity, accessibility, and data protection

exmox is an equal opportunity employer. We welcome applications from all qualified candidates regardless of gender, age, disability, ethnic or national origin, religion or belief, sexual orientation, or any other legally protected characteristic. If you require any adjustments or accommodations during the recruitment process, just let us know, we are happy to help. Your personal data will be processed in line with our Data privacy statement, which explains how we collect, use, and protect your information during the hiring process.

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

Job description