Senior Data Engineer (f/m/x)

About the Position

Senior Data Engineer (f/m/x)

Hamburg

Full-time

Permanent employee

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About the Position

We are looking for a Senior Data Engineer (f/m/x) to join our team at exmox in Hamburg, Germany. This role is part of a fast-paced, growth-oriented company that is revolutionizing the mobile gaming industry with our innovative user engagement and acquisition platform.

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Your Mission

At exmox, you will be part of a company that thrives on speed, efficiency, and real-world impact. As a Senior Data Engineer, you will play a crucial role in building and scaling the data foundation that powers our entire business. You will work closely with product and engineering teams, leveraging AI tools to enhance productivity and ensure data quality.

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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.
• DataLakehouse ownership: Build and manage the DataLakehouse on Databricks, including migrating legacy data products and implementing data transformations using Databricks and PySpark.
• Monitoring & optimisation: Monitor and maintain the data stack for nightly and near-real-time processing, ensuring high performance and reliability. Continuously optimise and troubleshoot pipelines to ensure data quality and integrity.
• Cross-functional collaboration: Work closely with cross-functional teams to ensure seamless data flow and integration into the DataLakehouse. Provide Tableau support for data analysts as needed.
• Staying ahead: Stay updated with industry best practices and emerging technologies in data engineering, bringing new ideas and approaches to the team.

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Requirements

• Technical foundation: Degree in Computer Science, Engineering, or Information Systems, or equivalent bootcamp experience with a minimum of 4 years of professional experience in data engineering.
• ETL expertise: Proficient in designing, implementing, and optimising ETL processes and orchestrating ETL workflows in production environments.
• 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.
• AI skills: Experience using AI for planning and building solutions.
• Programming skills: Highly proficient in Python, SQL, and PySpark for data manipulation and processing. Ability to write clean, maintainable, and 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.

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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. We stay focused on what actually moves us forward.
• See it. Own it. Solve it.: We're a place for doers. "Not my job" isn't in our vocabulary.
• 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.

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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.

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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.