Cloud Engineer: Databricks & Azure Automation

Jobgether; United Arab Emirates; On-site; AED 180,000 - 280,000; Full time

Benefits offered by this job

Hands-on with Databricks

Cloud automation projects

Dyamic cross-functional team

Job summary

Jobgether seeks a Cloud Engineer in the United Arab Emirates to join a partner team focused on modern cloud-based data environments. You will help onboard applications to Databricks, build Data Landing Zones, and manage Azure resources with IaC and automation.

You will troubleshoot requests, develop automation to reduce manual work, and collaborate across technical teams to continuously improve data platform operations.

Qualifications

• 1–3 years of hands-on Databricks experience in a tech or operations role.
• 1–3 years of experience with Azure Data Factory.
• Experience in application support, technical operations or cloud support.

Responsibilities

• Provide first-level technical support via ServiceNow for Databricks and cloud requests.
• Gather requirements for onboarding new Data Landing Zones (DLZs).
• Execute pipelines and scripts to provision Azure and Databricks resources.
• Support deployment of Azure resources using IaC practices.
• Identify repetitive tasks and implement automation to improve efficiency.
• Collaborate with cross-functional teams to ensure smooth onboarding.
• Create and maintain documentation for procedures and troubleshooting.
• Contribute to continuous improvement of cloud support operations.

Skills

Databricks

Azure Data Factory

Git/GitHub/GitLab

Terraform/Bicep

CI/CD pipelines

Python

PowerShell

Tools

Terraform

Bicep

AWS CDK

Azure DevOps

GitHub Actions

Job description

Jobgether seeks a Cloud Engineer in the United Arab Emirates to join a partner team focused on modern cloud-based data environments. You will help onboard applications to Databricks, build Data Landing Zones, and manage Azure resources with IaC and automation.

You will troubleshoot requests, develop automation to reduce manual work, and collaborate across technical teams to continuously improve data platform operations.