Senior Data Engineer (f/m/x)

exmox GmbH; Deutschland; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Transport subsidy

Learning budget

Wellness and gym

Workation

Bi-weekly team lunches

Zusammenfassung

exmox GmbH is seeking a Senior Data Engineer to build and scale our data foundation on Databricks. You will own data pipelines, DataLakehouse architecture, and production-grade data products that power growth across mobile gaming and marketing insights.

You will work closely with product and analytics teams, deploying AI-enabled approaches to reduce repetitive work and improve decision speed. This hybrid role is based in Hamburg, Germany.

Qualifikationen

• 4+ years of professional data engineering experience.
• Experience designing, implementing and optimising ETL pipelines in production.

Aufgaben

• Design, develop and maintain scalable ETL pipelines on Databricks.
• Build and manage a DataLakehouse on Databricks; migrate legacy data products.
• Monitor and optimise data pipelines for reliability and quality.
• Collaborate with cross-functional teams and provide Tableau support as needed.
• Stay updated with data engineering best practices and emerging tech.

Kenntnisse

Python

PySpark

SQL

Databricks

AWS (S3, Kinesis, Lambda)

ETL

Tableau

Ausbildung

Bachelor's degree in Computer Science, Engineering or Information Systems

Bootcamp experience

Tools

GitLab CI/CD

PostgreSQL

Jobbeschreibung

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, and here, data isn't just analyzed, it's turned into systems that directly drive business performance.

As a Senior Data Engineer (f/m/x) , you'll operate at the intersection of data, engineering, and product, building and scaling the data foundation that powers our entire business. This isn't a role for maintaining pipelines or following predefined processes, we look for engineering mindset and entrepreneurial ownership: you build it, you own it, and you see the impact in production. We're embracing AI as part of how we work too, using it to cut repetitive tasks and focus where it actually moves the needle.

If you're excited by complex systems, high traffic, and data-driven decisions, and impact matters more to you than process, we want to hear from you. We use AI for everything in order to improve speed and quality.

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.

What You Bring

• 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.

How We Win

• Speed is the feature. Speed beats rocket science. We move fast, test fast, and multiply our pace with AI, because action creates information and small wins compound. A fast failure is a lesson we learn from, a slow one is a problem we can't afford.
• Focus on the essential. Done is better than perfect. We stay focused on what actually moves us forward and protect people's time from anything that doesn't. We're direct in how we communicate too, no rambling, no unnecessary detail.
• See it. Own it. Solve it. The first to see it is best placed to fix it. We're not a place for comfort, we're a place for doers. "Not my job" isn't in our vocabulary, if you spot something, you help make sure it gets solved.
• Respect others. Trust multiplies. Respect is non-negotiable. We disagree with ideas, never with people. Trust here is built the same way it is anywhere, through consistency, a thank you, a moment of listening, and owning your mistakes.
• Perks that help you focus on what matters. Transport subsidy, learning budget, wellness and gym, workation, bi-weekly team lunches, and more. The perks are great, but the real reason people join and stay is the challenge, the ownership, and the drive to win together.

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