Data Engineer (w/m/d) - TV

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.

Activities

• 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

Work with large-scale data and don’t get intimidated by terabytes – you turn raw data into meaningful insights.

• 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

Team

• 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.
• 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.

Application Process

1. A quick intro call with Sarah (Head of Talent Acquisition @smartclip)
2. Video call with your future manager and a teammate – real talk, no script
3. Meet us in Berlin: hands-on case study, coding challenge (pair programming), or a role play – depending on the role
4. Prompt, honest feedback from Sarah – no ghosting, we promise