Duration: Until end of September 2027 (with possibility to extend)About the projectOur client, a integral leader in energy technology, is launching a high-visibility initiative to build real-time applications on live data from one of its European factories. Cameras on the factory floor detect objects, and the applications must process this unstructured video and image data and respond instantly. The first release is due within 3 to 4 months, with the longer-term aim of scaling the solution to other sites. You will join once the Product Manager and Solution Architect are in place.The roleYou will build the pipelines that move camera data from the factory floor into the applications that act on it. You thrive in a collaborative, fast-paced environment. Strong AWS experience is essential, ideally with AWS CDK or similar infrastructure-as-code tools.Key responsibilitiesDesign, build and maintain scalable pipelines for real-time ingestion,



transformation and analysisProcess unstructured data at speed, especially video and imagesBuild and maintain infrastructure as code with AWS CDKImplement and optimise storage in Snowflake and AuroraWork with the development team on Python backend integrationApply best practice in data modelling and data qualityMonitor and troubleshoot pipelines to maintain availability and performanceRequired skills and experienceProven Senior Data Engineer experience on complex transformation projectsHands-on work with unstructured data, ideally videoStrong AWS skills, with hands-on AWS CDKExtensive Snowflake and Aurora experienceClear communicator who can explain technical concepts to non-technical stakeholders#J-18808-Ljbffr

📌 Senior Data Engineer (Madrid)
🏢 Remobi
📍 Madrid