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# Senior Data Engineer

- **Company:** exmox GmbH
- **Location:** Hamburg, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Information Systems, Computer Programming, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), PostgreSQL, SQL Databases, Data Streaming, Tableau (Software), Data Processing, Real Time Systems, Pyspark, Information Technology, Production Code, Data Analytics, Functional Programming, Data Pipelines, Databricks
- **Published:** October 23, 2026
- **Apply:** https://www.adzuna.de/details/5938138886

## About the Role

* Technical foundation: You have a degree in Computer Science, Engineering or Information Systems or bootcamp experience with a minimum of 4 years of professional experience in data engineering.
 * ETL expertise: You are proficient in designing, implementing and optimising ETL processes and orchestrating ETL workflows in production environments.
 * Tools & technologies: You have 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.
 * AI skills: You use AI for next to everything you plan and build.
 * Programming skills: You are highly proficient in Python, SQL and PySpark for data manipulation and processing and write clean, maintainable and production-ready code.
 * Mindset & communication: You have excellent problem-solving skills, strong attention to detail, and the ability to work independently and collaboratively. You are fluent in English both verbally and in writing.

## Description

When you join exmox, you're 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 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, working close to product and engineering and seeing the impact of your work in production. At exmox, we're embracing AI as part of how we work, not just what we build. We use AI tools to work smarter, cut down on repetitive tasks and spend our time where it actually moves the needle. 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.

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, ensuring reliable and efficient data flow across the business.
 * DataLakehouse ownership: You build and manage the DataLakehouse on Databricks including migrating legacy data products. You implement data transformations and processing logic using Databricks and PySpark to ensure efficient data handling and analysis.
 * Monitoring & optimisation: You monitor and maintain the data stack for nightly and near-real-time processing of in-house tracking solutions, ensuring high performance and reliability. You continuously optimise and troubleshoot pipelines to ensure data quality and integrity.
 * Cross-functional collaboration: You work closely with cross-functional teams to ensure seamless data flow and integration into the DataLakehouse and provide Tableau support for data analysts as needed.
 * Staying ahead: You stay updated with industry best practices and emerging technologies in data engineering, bringing new ideas and approaches to the team.