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About the Role

Design and build the engines that process, transform, and refine terabytes of TV and advertising data every single day. Ensure our data platform is scalable, resilient, and cutting-edge.

Responsibilities

• Design and implement technical solutions for Big Data applications in an agile, high-performance environment.
• Continuously develop and refine data aggregation pipelines (TV data, advertising, and forecasting) primarily based on Spark and Scala.
• Host, manage, and scale solutions using Docker and Kubernetes within the AWS cloud.
• Lead the way in test automation – from unit tests to complex integration tests.
• Evaluate new frameworks and tools, share findings with the team, and help stay at the forefront of Big Data technology.

Requirements

• Solid track record in software engineering, with a strong focus on JVM languages (Scala/Java) and/or Python.
• Experienced with Spark, Hadoop, or similar distributed systems.
• Comfortable with CI/CD, Docker, Kubernetes, and AWS.
• Values efficiency, clean architecture, and pragmatic solutions.
• A "let's figure it out" attitude, a hands-on mentality.
• Fluency in German and English.
• Portfolio, side project, or demo repo that shows production-ready, thought-through, shipped code.

Skills

• Scala
• Java
• Python
• Spark
• Hadoop
• Trino
• Flowman
• Delta Lake
• CI/CD
• Docker
• Kubernetes
• AWS

Location

• Remote
• Berlin
• Cologne

Work Type

• Remote
• On-site
• Flexible remote

Experience Level

• Software Engineer

Benefits

• Ownership over tickets
• No unnecessary bureaucracy
• No micromanagement
• Test what works
• Fail fast, learn faster
• Direct feedback
• Honest collaboration
• No drama
• Hackathons
• Conferences
• Community investment
• 30 days of vacation
• Dec 24 & 31 off
• Smart Fridays (4 days week possible)
• Mobility (Germany ticket & JobRad)
• Sports & health offerings
• Mental health support
• Corporate benefits
• RTL+ access

About the Company

• We use AI to accelerate – not to replace thinking.
• We design the system, steer the output, and take responsibility for what we ship.
• Fast where it makes sense. Careful where it matters.
• We work remote by default – focused, efficient, and with full ownership.
• For larger features, architectural decisions, and real brainstorming sessions, we come together in Berlin – fast, hands-on, and without unnecessary meeting overhead.