Cloud Engineer - Databricks & Azure Automation

Jobgether

Ireland

On-site

EUR 55,000 - 75,000

Full time

8 days ago

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Benefits offered by this job

Hands-on Databricks exposure
Azure cloud platform experience

Job summary

Jobgether Partner is seeking a Cloud Engineer based in Ireland to support Databricks deployments and Azure-based data environments. You will onboard applications to Databricks, build Data Landing Zones, and work with IaC, automation, and deployment pipelines to deliver efficient solutions.

You will provide first-line technical support, gather requirements, and automate repetitive tasks while collaborating with cross-functional teams to ensure smooth onboarding and reliable data platform

Qualifications

  • 1–3 years of hands-on Databricks experience in a technical or operational role.
  • 1–3 years of experience with Azure Data Factory.
  • Experience in application support, technical operations, or cloud support.
  • Familiarity with major cloud platforms, especially Azure; AWS/GCP is a plus.

Responsibilities

  • Provide first-level technical support to application teams via ServiceNow.
  • Gather and analyze requirements for onboarding new DLZs.
  • Execute pipelines and scripts to provision Azure and Databricks resources.
  • Implement IaC and deploy commonly requested Azure resources.
  • Identify and automate repetitive tasks to improve efficiency.
  • Collaborate across cross-functional teams to resolve issues.

Skills

Databricks
Azure Data Factory
Git/GitHub/GitLab
Python scripting
Bash/PowerShell
Terraform
CI/CD pipelines
Azure ecosystem

Tools

Terraform
Bicep
GitHub Actions
Azure DevOps

Job description

Jobgether Partner is seeking a Cloud Engineer based in Ireland to support Databricks deployments and Azure-based data environments. You will onboard applications to Databricks, build Data Landing Zones, and work with IaC, automation, and deployment pipelines to deliver efficient solutions.

You will provide first-line technical support, gather requirements, and automate repetitive tasks while collaborating with cross-functional teams to ensure smooth onboarding and reliable data platform

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