The role focuses on scaling a 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 a 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, fostering a culture of creativity, belonging, and continuous learning within a global organization.
Matching Summary
The role focuses on scaling a 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 ARM or Terraform
Python, Bash, and Powershell scripting
Docker and Kubernetes containerization
Azure Data Services implementation
Nice-to-have
Experience with Bicep for IaC
Azure Cloud Scale Analytics deployment
Collaborative team spirit and problem-solving
Open-minded approach to new ideas
Optimistic attitude towards technology
Key Requirements
At least 3 years of Azure DevOps engineering experience