Cloud Engineer

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

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Engineer based in United Arab Emirates.

Join a technical team focused on supporting and scaling modern cloud-based data environments.
In this role, you will help application teams onboard to Databricks and build reliable Data Landing Zones (DLZ).
You will work with Azure resources, Infrastructure as Code, automation, and deployment pipelines to deliver efficient solutions.
As a first-line technical point of contact, you will troubleshoot requests and help resolve issues through structured support processes.
You will also identify opportunities to automate repetitive activities and continuously improve operational workflows.
The role combines hands-on cloud engineering with application support in a collaborative, cross-functional environment.
It is an excellent opportunity to deepen your expertise in Databricks, Azure, IaC, and cloud automation while making a direct impact on data platform operations.

Accountabilities

• Provide first-level technical support to application teams through the ServiceNow ticketing system, investigating and resolving common Databricks and cloud-related requests.
• Gather, clarify, and analyze technical requirements for onboarding new Data Landing Zones (DLZs).
• Execute pipelines, scripts, and automated processes to provision, configure, or modify Azure and Databricks resources.
• Support the deployment of commonly requested Azure resources using Infrastructure as Code (IaC) practices.
• Identify repetitive manual activities and develop automation to improve efficiency, consistency, and support response times.
• Collaborate with application, cloud, data, and other cross-functional teams to resolve technical issues and ensure smooth onboarding.
• Create, maintain, and continuously improve documentation covering support procedures, workflows, configurations, and troubleshooting processes.
• Contribute to the continuous improvement of cloud support operations and the overall Databricks environment.

Requirements:

• 1–3 years of hands-on experience working with Databricks in a technical or operational environment.
• 1–3 years of experience with Azure Data Factory.
• Previous experience in application support, technical operations, cloud support, or a similar role.
• Familiarity with major cloud platforms, particularly Azure, with exposure to AWS or GCP considered an advantage.
• Experience using source-control systems such as Git, GitHub, or GitLab.
• Understanding of Databricks capabilities such as Unity Catalog, role-based access control (RBAC), authentication mechanisms, and Delta Sharing is highly desirable.
• Experience working within the Azure ecosystem and understanding of cloud resource management.
• Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or AWS CDK.
• Experience with CI/CD pipelines and automation platforms such as Azure DevOps, Jenkins, or GitHub Actions is a plus.
• Scripting or development experience with Python, PowerShell, Bash, or similar technologies.
• Strong analytical and troubleshooting abilities, combined with attention to detail and a proactive approach to problem-solving.
• Ability to communicate clearly with application teams and collaborate effectively across technical and non-technical stakeholders.

Benefits:

• Opportunity to work hands-on with Databricks, Azure, cloud infrastructure, and modern data technologies.
• Exposure to Infrastructure as Code, CI/CD, automation, and cloud platform operations.
• Collaborative environment with opportunities to work closely with application and cross-functional technical teams.
• Opportunity to develop expertise in a growing data and cloud technology ecosystem.
• Role combining technical support, cloud engineering, automation, and continuous improvement.
• Potential for professional growth through exposure to a broad range of cloud and data platform challenges.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.