Key skills
AWSDockerETLGrafanaHadoopKubernetesPythonSparkSQLData EngineeringAnalyticsCI/CD
About this role
Role Overview
- Join our Data Engineering team and process, transform, and refine terabytes of TV and advertising data every day.
- Design and build scalable data pipelines for our TV and forecasting products
- Keep pipelines fast, clean, and reliable – from ETL to testing and deployment
- Automate wherever possible – from unit tests to CI/CD processes
- Collaborate closely with other engineers to solve complex data challenges and continuously improve our platform
- Explore new tools and frameworks – stay curious and keep experimenting
Requirements
- Bring 1–3 years of hands-on experience in Data Engineering
- Use Python and SQL confidently in your daily work
- Have experience with Spark or Hadoop, as well as testing and CI/CD pipelines
- Operate with a “let’s figure it out” mindset rather than “that’s not my job”
- Take ownership, work independently, and focus on pragmatic solutions
- Bonus Points: Experience with Docker, Kubernetes, Grafana, or AWS
- Interest in TV data, AdTech, or real-time analytics.
Tech Stack
- AWS
- Docker
- ETL
- Grafana
- Hadoop
- Kubernetes
- Python
- Spark
- SQL
Benefits
- 30 days of vacation + Dec 24 & 31 off
- Smart Fridays (4-day week possible)
- Mobility (Germany ticket & JobRad)
- Sports & health offerings
- Mental health support
- Corporate benefits
- RTL+ access