Hamburg, Berlin, Köln, Düsseldorf, Gütersloh, München oder Remote

Your Mission

We’re not just another company piping our data into someone else’s black box. We build our own AI stack — scalable, secure, and 100% under our control. If you're tired of patching together pipelines that nobody understands or maintaining legacy ETL monsters, keep reading.

As our Data Engineer – AI, you'll own the architecture and operations of our AI applications — from raw data to production-grade services. You’ll work side by side with Data Scientists to make models actually usable, and you’ll drive the technical backbone of products that run at scale.

• Real engineering: You’re not just gluing APIs — you’re building systems
• Visible impact: Your work powers live services — used, tested, and appreciated
• Tech-first environment: We're AI-focused by design, not by buzzword
• Shape the future: You’re part of the journey, not just maintaining what’s already there

What You’ll Do

• Design, build & run: Architect scalable data backends to power our AI-driven products
• Bridge the gap: Work closely with Data Scientists to turn prototypes into production
• Automate & optimize: Ensure stability and performance of our AI APIs — and make testing a non-event
• Explore the new: Evaluate bleeding-edge tech in storage, compute, and orchestration — if it's open source and promising, you'll touch it

Your Toolbelt

• Deep knowledge of software engineering, including testing and design patterns
• Experience with data pipelines, storage, and processing techniques
• A get-code-into-prod mentality — you care about robustness and performance
• You thrive in agile, cross-functional teams where people ship fast and learn faster

Your Tools

• Python – For building clean, scalable data pipelines and backend services.
• SQL – You write efficient queries and know your way around complex joins and large datasets.
• Git – Version control is second nature. You know how to branch, commit, and collaborate cleanly.

Bonus Skills (nice to have): Apache Hadoop, Spark / Docker, Kubernetes / Grafana, Prometheus, Graylog / Jenkins / Java, Scala / Shell scripting

Our Tech Stack

We build with the tools we love (and we love good tools):TypeScript, Node.js, React, Python, SQL, Scala, Java, Docker, Kubernetes, AWS, GCP, C++, GitHub, and the occasional caffeine-fueled whiteboard sketch. And we’re not afraid to throw something out if there’s a better way. Check out our open source stuff: github.com/smartclip

What’s in Your Loot Box

• Top-tier hardware (Mac/Linux/whatever you need)
• Paid access to Coursera, Udacity, conferences, hackathons & coaching
• "Smart Fridays" – our 4-day workweek to protect your flow
• Flexible hours & remote work – we trust you to do your thing
• JobRad + Urban Sports Club deals + free RTL+ subscription
• Deutschlandticket subsidy, awesome team events, and more

Ready to build AI that runs in production?

Drop us a line — we’d love to hear from you.

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.