Lead Data Engineer overseeing engineers and advancing the data platform at American Family Insurance. Creating tools and infrastructure to empower teams across the company.
About the role
- Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
Responsibilities
- 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).
Requirements
- 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.
Job title
Job type
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Degree requirement
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