Software Engineer - Data Platforms

Join our team at smartclip as a Software Engineer, Data Platforms. You will design and build the engines that process, transform, and refine terabytes of TV and advertising data every single day. Your goal is to ensure our data platform is scalable, resilient, and cutting-edge.

• Engineer Scalable Platforms: Design and implement technical solutions for Big Data applications in an agile, high-performance environment.
• Optimize Data Flows: Continuously develop and refine our data aggregation pipelines (TV data, advertising, and forecasting) primarily based on Spark and Scala.
• Cloud-Native Deployment: Host, manage, and scale your solutions using Docker and Kubernetes within the AWS cloud.
• Champion Quality: Lead the way in test automation - from unit tests to complex integration tests. For us, Test Driven Development (TDD) is the only way to build reliable systems.
• Tech Exploration: Evaluate new frameworks and tools, share your findings with the team, and help us stay at the forefront of Big Data technology., * Ownership over tickets: You're trusted with real responsibility, not just tasks. No unnecessary bureaucracy, no micromanagement - we rely on you to take things forward.
• Build > Talk: We test what works - not what sounds good. Fail fast, learn faster.
• High standards, low ego: We take our work seriously, but not ourselves. Direct feedback, honest collaboration, no drama.
• Stay sharp: Hackathons, conferences, community - we invest in your growth and keep you at the cutting edge.
• Remote flexibility. In person, when it matters.: You work flexibly remote, with a connection to our Berlin or Cologne locations, where our TV Labs are and we experiment, build, and learn together.
• And yes - the fundamentals are covered too: 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, and more.

Do you have experience in Spark?, You are a software engineer at heart who loves the challenge of massive scale - you turn the complexity of terabytes of data into elegant, efficient code.

• Engineering Background: You have a solid track record in software engineering, with a strong focus on JVM languages (Scala/Java) and/or Python.
• Big Data Expertise: You are experienced with Spark, Hadoop, or similar distributed systems. Experience with Trino, Flowman, or Delta Lake will make you stand out.
• Infrastructure Knowledge: You are comfortable with CI/CD, Docker, Kubernetes, and AWS.
• Quality Mindset: You don't ship without tests. You value efficiency, clean architecture, and pragmatic solutions.
• Open Source Advocate: You love the freedom and transparency of open-source software (you won't find any closed-source or Microsoft stacks here).
• Mindset: A "let's figure it out" attitude, a hands-on mentality, and fluency in German and English.