Job Description
Join us as an Infrastructure Engineer within the CDS team and work on multiple projects or modules to understand requirements, develop and implement infrastructure solutions Data Engineering and Artificial Intelligence service solutions via real time and batch integrations under an AI/ML Ops platform capability.
To be successful as an Infrastructure Engineer, you should have experience with:
* Infrastructure as Code (IaC), Python, Docker, Kubernetes
* CI/CD process development
* Cloud Engineering (Azure, GCP, preferably AWS)
Some other highly valued skills may include:
* a good understanding of ML and AI methodologies
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role will be based out of our Glasgow Campus.
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Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
1. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent d...