Duration:
Until end of September ** (with possibility to extend)
About the project
Our client, a general 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 role
You 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 responsibilities
Design, build and maintain scalable pipelines for real-time ingestion,



transformation and analysis
Process unstructured data at speed, especially video and images
Build and maintain infrastructure as code with AWS CDK
Implement and optimise storage in Snowflake and Aurora
Work with the development team on Python backend integration
Apply best practice in data modelling and data quality
Monitor and troubleshoot pipelines to maintain availability and performance
Required skills and experience
Proven Senior Data Engineer experience on complex transformation projects
Hands-on work with unstructured data, ideally video
Strong AWS skills, with hands-on AWS CDK
Extensive Snowflake and Aurora experience
Clear communicator who can explain technical concepts to non-technical stakeholders
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📌 Senior Data Engineer (Córdoba)
🏢 Remobi
📍 Córdoba