## 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. ## 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