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 ourData 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 modelsactually usable , and you’ll drive the technical backbone of products that run at scale.
- 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
- Deep knowledge ofsoftware engineering , including testing and design patterns
- Experience withdata pipelines , storage, and processing techniques
- Aget-code-into-prod mentality — you care about robustness and performance
- You thrive inagile , 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
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 toCoursera, 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
Ready to build AI that runs in production?
Drop us a line — we’d love to hear from you.
HR Contact
Sarah Leers
Company: smartclip Europe GmbH
State/Region: Hamburg
Postal Code: 10405, 20457, 33332
Job ID: 280600
Datum: 13.06.2025
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Data Engineer (f/m/d) - AI Arbeitgeber: Dorling Kindersley Limited
Kontaktperson:
Dorling Kindersley Limited HR Team