Senior Data Engineer

exmox GmbH
Hamburg, Germany
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Information Systems Computer Programming Information Engineering Extract Transform Load (ETL) Data Transformation Python (Programming Language) PostgreSQL SQL Databases Data Streaming
+9 more
Tableau (Software) Data Processing Pyspark Information Technology Production Code Data Analytics Functional Programming Data Pipelines Databricks

Job description

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.

Requirements

  • 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.

Benefits & conditions

  • 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!

About the company

At exmox, we are building the next European tech challenger in the user acquisition space.

We operate a scalable user acquisition platform that enables partners to grow efficiently and at scale. In a highly competitive global market, 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.

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