Data Engineer (f/m/d) - AI - Datenbankentwicklung/BI, Ingenieur

Your Mission We re not just another company piping our data into someone else s black box. Qualifikationen, Fähigkeiten und alle relevanten Erfahrungen, die für diese Stelle erforderlich sind, finden Sie in der vollständigen Beschreibung unten. 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