Location: Remote in our day-to-day work. On-site when 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.
Über smartclip
smartclip ist die Adtech-Entwicklungseinheit der RTL Group – Europas führender Free-TV Sendergruppe. Unsere proprietäre Werbetechnologie ist auf die spezifischen Bedürfnisse von europäischen Sendern und Publishern zugeschnitten und bietet intelligente Vermarktungs- und Monetarisierungsstrategien für unterschiedlichste Medienunternehmen. Wir stellen die innovativsten Videowerbeerlebnisse für In-Stream, Out-Stream, Connected TV, Addressable TV und Gaming bereit und ermöglichen Markeninhabern echte geräteübergreifende Storytelling-Anlässe. Die Media Sales Division von smartclip wird mit RTL AdConnect und G&J iMS zu einem internationalen Advertising Sales Champion RTL AdAlliance fusionieren. smartclip wird sich fortan ausschließlich auf die Entwicklung von Technologie fokussieren.
smartclip hat seinen Hauptsitz in Hamburg und verfügt über Büros in Berlin, München, Düsseldorf, Köln, Gütersloh, Stockholm, Oslo, Helsinki, Amsterdam, Mailand und Rom.
Weitere Informationen findest Du auf www.smartclip.tv sowie auf Twitter und LinkedIn .
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.
Your mission
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
Your skills
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
Bonus Points:
* Experience with Docker, Kubernetes, Grafana, or AWS
* Interest in TV data, AdTech, or real-time analytics
Why you’ll love working with us
* 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.
Your CV is just the starting point.
What matters more to us than your resume: a portfolio, a side project, a demo repo – anything that shows you don’t just talk about code, you ship it. Production-ready. Thought through. Done.
smartclip ist bestrebt, ein diverses und inklusives Umfeld zu schaffen. Alle qualifizierten Bewerber*innen werden für die Anstellung in Erwägung gezogen, unabhängig von Ethnizität, Nationalität, Alter, Geschlecht, Geschlechtsidentität, Religion, sexueller Orientierung, Behinderung, oder anderen diversen Eigenschaften.
HR Contact
Sarah Leers
Senior Recruiter
Company: smartclip Europe GmbH
Country: Deutschland
State/Region: Hamburg
City: Berlin, Köln, Gütersloh, Düsseldorf, Hamburg oder bundesweit im Home-Office
Postal Code: 10405, 20457, 33332
Job ID: 283797