Duration:

Until end of September 2027 (with possibility to extend)

About the project Our 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 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 (Madrid)
🏢 Remobi
📍 Madrid