Data Platform Engineer

Platform Engineer - Data, Azure, AI, IaC, Terraform

£Market Rate (Inside IR35)

London / Hybrid

6 months

We are currently working with a client who urgently require a Platform Engineer with strong knowledge of Data to play a pivotal role in designing and engineering a robust, scalable Data Platform, with a strong focus on Azure and AI services. This is a hands-on role requiring deep technical expertise, resilience, and the ability to thrive in a fast-paced, complex environment.

Key Requirements:

• Proven experience as a Platform Engineer, within large, complex organisations
• Focus on Azure-based Data Platforms
• Strong hands-on experience with Azure Data Factory (ADF), Azure AI, Data Lake, Cognitive Services and OpenAI
• Proven ability to deploy Azure services and Infrastructure as Code (IaC)
• Deep knowledge of Terraform, automation and Infrastructure as Code (IaC)
• Strong working knowledge of Snowflake engineering and operations
• Solid understanding of security, networking, identity management and access control (automated via Terraform)
• Good awareness of the DevOps approach
• Excellent communication skills and stakeholder engagement

Nice to have:

• Immediate availability
• Background in Infrastructure to understanding concepts such as Networking, Firewalls and Security
• Previous experience of deploying Virtual Machines, Data Lakes, Data vaults
• Some exposure to GCP and it's AI capabilities
• Scripting knowledge of Powershell / Bash / Python
• Awareness of operational challenges

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)