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Cushman & Wakefield is looking for an Infrastructure Data Engineer with expertise in Azure Databricks to design, implement, and optimize cloud environments. The ideal candidate will have a strong background in Azure services and a problem-solving mindset, focusing on automation and continuous improvement.
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Job Summary
This role focuses on designing, implementing, and optimizing Azure Databricks environments to support scalable data engineering workflows.
The engineer will ensure the cloud ecosystem aligns with the Five Pillars of the Azure Well-Architected Framework including Security and Cost Optimization.
Candidates must possess strong hands-on skills in infrastructure as code using Terraform, Bicep, or ARM templates alongside Python and PowerShell scripting.
Matching Summary
Match Score: 75
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Cushman & Wakefield is looking for an Infrastructure Data Engineer with expertise in Azure Databricks to design, implement, and optimize cloud environments. The ideal candidate will have a strong background in Azure services and a problem-solving mindset, focusing on automation and continuous improvement.
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Skills & Requirements
Must-have
Azure Databricks engineering expertise
Terraform or Bicep Infrastructure as Code
Azure Data Factory pipeline development
Unity Catalog security implementation
Azure Monitor and Log Analytics proficiency
Nice-to-have
Strong communication and documentation skills
Experience with CI/CD pipelines in Azure DevOps
Familiarity with MLflow for machine learning
Background in cloud architecture strategy
Problem-solving mindset for automation
Key Requirements
3-7+ years of hands-on Microsoft Azure experience
Proficiency with Spark, Delta Lake, and data engineering concepts
Solid understanding of cloud networking including VNETs and private endpoints