Data Engineer (f/m/d) - AI

Location:  Hamburg, Berlin, Gütersloh or Remote (ideally max. 3 hours travel time to Berlin)

Build the Backbone of AI That Matters

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.

Your Contact

Sarah Leers

smartclip is committed to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, ethnicity, nationality, age, gender, gender identity, religion, sexual orientation, disability, or any other diverse characteristics.