Your Mission
This is a company built for growth. When you join exmox, you're stepping onto a global, highly competitive playing field, building high-performing consumer products in mobile gaming. We're scaling a rewarded user engagement and acquisition platform that helps publishers acquire and retain players.
As a Senior AI Data Expert (f/m/x), you'll operate at the intersection of data engineering, machine learning, data science, and analytics, building and scaling the data foundation that powers our entire business. This role combines all four data disciplines into one generalist position. This isn't a role for maintaining pipelines or following predefined processes — we look for engineering mindset and entrepreneurial ownership.
AI is not a side tool here, it's core to how you work: you'll use Claude and similar AI tools daily to plan, build, debug, and document, including managing context and memory across projects, integrating AI directly into your version control workflow, and running parallel agent workflows on separate tasks.
What You'll Own
- Data Pipelines & Integration: You design, develop, and maintain scalable ETL pipelines on Databricks to integrate data from various sources, including app and web products and marketing partner data.
- Data Lakehouse Ownership: You 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: You monitor and maintain the data stack for nightly and near-real-time processing of in-house tracking solutions, continuously optimizing and troubleshooting pipelines.
- Analysis & Insight: You also turn open business questions into decision-ready analysis when that's where the highest-value work is.
- AI-Native Workflow: You use Claude and similar AI tools daily to plan, build, debug, and document your pipelines.
- Version Control & Worktrees: You integrate AI directly into your version control workflow, using Git worktrees to run several AI-assisted branches of work side by side.
- Context & Memory Management: You maintain structured project context for your AI tools, for example a CLAUDE.md-style instructions file.
- Parallel Agentic Work: You run multiple AI coding agents on separate tickets at the same time where it makes sense.
- Cross-Functional Collaboration: You move fluidly across data engineering, machine learning, data science, and analytics work.
What You Bring
- Technical Foundation: Degree in Computer Science, Engineering, Information Systems, Data Science, or related field, or bootcamp experience, with a minimum of 4 years of professional experience across data engineering, machine learning, data science, or analytics.
- Cross-Disciplinary Range: Real experience in at least two of data engineering, machine learning, data science, or analytics.
- 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 or similar technologies. Experience with GitLab CI/CD pipelines and familiarity with PostgreSQL are a plus.
- Genuine AI Fluency: You use AI tools like Claude hands-on, daily, across planning, building, debugging, and documentation.
- Programming Skills: Highly proficient in Python, SQL, and PySpark for data manipulation and processing.
- Mindset & Communication: Excellent problem-solving skills, strong attention to detail, and fluent in English, both verbally and in writing.
How We Win
Speed is the feature. Focus on the essential. See it. Own it. Solve it. Respect others.
Perks
Transport subsidy, learning budget, wellness and gym, workation, bi-weekly team lunches, and more.