smartclip
10178 Berlin - Deutschland
Datenbankentwickler/in
Arbeit
Vollzeit
ab 01.06.2026
Beschreibung
## 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 frame... weiter lesen
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 frame... weiter lesen
## 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.
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.
Ref-Nr.: 10617957
Aktualisiert:
03.06.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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