The role focuses on scaling the Data Mesh platform by building efficient CI/CD processes and automating deployments across development, testing, and production infrastructures
Job Summary
The role focuses on scaling the Data Mesh platform by building efficient CI/CD processes and automating deployments across development, testing, and production infrastructures.
Candidates will work closely with Software and Data Engineering teams to manage cloud deployment, perform root cause analysis, and implement continuous testing strategies.
WPP offers a hybrid work model requiring four days in the office per week, fostering a culture of creativity, belonging, and continuous learning.
Matching Summary
The role focuses on scaling the Data Mesh platform by building efficient CI/CD processes and automating deployments across development, testing, and production infrastructures.
Skills & Requirements
Must-have
Azure DevOps Pipelines experience
Infrastructure as Code with Terraform or ARM
Python Bash Powershell scripting
Docker and Kubernetes containerization
Azure Data Services implementation
Nice-to-have
Bicep language experience
Azure Cloud Scale Analytics deployment
Collaborative team spirit
Problem-solving attitude
Open-minded approach to new ideas
Key Requirements
At least 3 years of Azure DevOps engineering experience