Key skills
AWSDockerETLGrafanaHadoopKubernetesPythonSparkSQLScalaData EngineeringAnalyticsReactCI/CD
About this role
Role Overview
- Design and build scalable data pipelines for our TV and forecasting products
- Keep these pipelines fast, clean and reliable — from ETL and testing to deployment
- Automate wherever possible — from unit tests to CI/CD processes
- Collaborate closely with other engineers to solve complex data challenges and make our platform smarter week after week
- Experiment with new tools and frameworks — we’re curious and love discovering new approaches
Requirements
- 1–3 years of hands-on experience in data engineering
- Strong proficiency in Python and SQL
- Experience with Spark or Hadoop, testing, and CI/CD pipelines
- A “let’s figure it out” mentality — rather than “that’s not my job”
- Bonus: experience with Docker, Kubernetes, Grafana, AWS
- Interest in TV data, adtech, or real‑time analytics
Tech Stack
- AWS
- Docker
- ETL
- Grafana
- Hadoop
- Kubernetes
- Python
- Spark
- SQL
Benefits
- Work on exciting projects using cutting-edge technologies such as Python, Scala, React, Docker, Kubernetes, AWS, and more
- Make real impact — your code runs in production and processes live data from European TV broadcasters
- Work flexibly — remote, in-office, or with our four-day week (“Smart Fridays”)
- Enjoy strong perks such as Germany ticket & JobRad subsidies, Urban Sports Club, RTL+ Premium, corporate discounts, and team events