You will build and maintain our modern Data Lake architecture on AWS (S3, Glue, Athena, Iceberg) and continuously develop it further.
You will design and implement scalable ETL/ELT pipelines using Apache Airflow, dbt and Apache Spark to process large volumes of data — from real-time events to structured storage following a medallion architecture.
You will design and implement a comprehensive Game Analytics & Event Tracking system for our games platform (Spawn Engine, G-RGS) to capture player behavior, game performance and business KPIs in real time.
You will implement extensive data quality checks using dbt tests and Great Expectations, and set up monitoring solutions to ensure data quality and availability.
You will work closely with our teams (backend, frontend, statistics, mathematics, finance) to provide performant data analyses and reports.
You will optimize data queries and storage for cost-efficient and high-performance analytics workloads and automate data processing using Infrastructure as Code (IaC).

You hold a degree in computer science or a comparable qualification.
You have at least 3–4 years of professional experience in data engineering or related fields.
You have excellent knowledge of Python (pandas, pyarrow, boto3).
You bring solid experience with cloud platforms (ideally AWS) and modern data lake technologies.
You have experience with message queues (RabbitMQ) and workflow orchestration (Airflow or similar tools).
You are familiar with columnar file formats (Parquet) and modern table formats (Apache Iceberg, Delta Lake).
Ideally, you have experience with dbt, Spark or comparable data transformation tools and with visualization tools such as Tableau or Metabase.
You have a good understanding of data modeling, partitioning strategies and performance optimization.
You are open to AI technologies and are willing to take responsibility for our internal AI systems and their further development.
Ideally, you have experience in the gaming sector and understand the specifics of gaming data and metrics.
You are strong in communication and show empathy when interacting with different personalities.
You have a high degree of self-organization and self-reflection for working within a hybrid, collaborative work model.
You have a can-do mentality and are enthusiastic about driving initiatives forward.
You work independently and define quality as a key success factor.
You write and speak very good German (C1) and good English.

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

Data Engineer

Key skills