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. You will build the pipelines that move camera data from the factory floor into the applications that act on it. Strong AWS experience is essential, ideally with AWS CDK or similar infrastructure-as-code tools.
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
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

📌 Senior Engineer, Data Engineering (Santander)
🏢 Remobi
📍 Santander