Data Engineer – all genders welcome

GAMOMAT Development GmbH

full-time

Posted on: 1/15/2026

Location Type: Hybrid

Location: Germany

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About the role

Build and continuously evolve a modern Data Lake architecture on AWS (S3, Glue, Athena, Iceberg).
Design and implement scalable ETL/ELT pipelines with Apache Airflow, dbt and Apache Spark for processing large volumes of data.
Design and implement a comprehensive game analytics and event tracking system for our gaming platform.
Implement comprehensive data quality checks using dbt tests and monitoring solutions to ensure data quality and availability.
Work closely with our teams to deliver high-performance data analyses and reports.
Optimize data queries and storage for cost-efficient and high-performance analytics workloads.
Automate data processing workflows using Infrastructure as Code (IaC).

Degree in Computer Science or a comparable qualification.
At least 3–4 years of professional experience in data engineering or related fields.
Excellent knowledge of Python (pandas, pyarrow, boto3).
Solid experience with cloud platforms (preferably AWS) and modern data lake technologies.
Experience with message queues (RabbitMQ) and workflow orchestration (Airflow or similar tools).
Familiarity with columnar file formats (Parquet) and modern table formats (Apache Iceberg, Delta Lake).
Ideally experience with dbt, Spark, or comparable data transformation tools, and visualization tools such as Tableau or Metabase.
Good understanding of data modeling, partitioning strategies and performance optimization.
Strong openness to AI technologies and willingness to take responsibility for internal AI systems.
Ideally, experience in the gaming industry and an understanding of the specifics of gaming data and metrics.
Strong communication skills and empathy when interacting with diverse personalities.
High degree of self-organization and self-reflection for working in a hybrid, collaborative work model.
Can-do mentality and enthusiasm for driving initiatives forward.
Independent working style with quality as a success factor.
Very good German (C1) and good English.

Benefits

A values-driven, collaborative working environment.
Sustainable company growth.
Hybrid working model: maximum flexibility in terms of working hours and location.
Well-equipped office in Berlin-Mitte as a centrally located meeting place.
A warm welcome through an intensive, structured onboarding process.
Learning & development opportunities through the GAMOcademy.
Annual development review and targeted development measures.
Health care benefits – company health insurance, mental health platform, and bike leasing.

Tip: use these terms in your resume and cover letter to boost ATS matches.

Pythonpandaspyarrowboto3ETLELTdata modelingperformance optimizationdata quality checksworkflow orchestration

communication skillsempathyself-organizationself-reflectioncan-do mentalityenthusiasmindependent working style

Degree in Computer Science