Data Engineer (Mobile Gaming)

TL;DR

Data Engineer (Databricks/PySpark): Designing and scaling production-ready data infrastructure and ETL pipelines for a mobile gaming UA platform with an accent on DataLakehouse management and real-time processing. Focus on optimizing data flows, integrating diverse data sources, and ensuring system reliability under hyper-growth.

Location: Hybrid in Hamburg, Germany (Office: Tue-Thu, Remote: Mon, Fri)

Company

A growth-oriented company building a category-leading European user acquisition platform for the mobile gaming industry.

What you will do

• Design, develop, and maintain scalable ETL pipelines on Databricks to integrate app, web, and marketing partner data.
• Build and manage the DataLakehouse on Databricks, including the migration of legacy data products.
• Implement complex data transformations and processing logic using PySpark.
• Monitor and optimize the data stack for nightly and near-real-time processing of in-house tracking solutions.
• Collaborate cross-functionally to ensure seamless data flow and provide Tableau support for analysts.

Requirements

• Degree in Computer Science, Engineering, or Information Systems (or equivalent bootcamp experience).
• 5+ years of professional experience in data engineering.
• Proficiency in Python, SQL, and PySpark for production-ready code development.
• Hands-on experience with Databricks and AWS services such as S3, Kinesis, and Lambda.
• Fluency in English both verbally and in writing.

Nice to have

• Experience with GitLab CI/CD pipelines.
• Familiarity with PostgreSQL.

Culture & Benefits

• High-ownership environment with driven, entrepreneurial colleagues.
• Transport subsidy and professional learning budget.
• Wellness and gym memberships.
• Flexible hybrid work model and workation options.
• Bi-weekly team lunches.