Cloud Engineer

Overview

This opportunity is presented on behalf of a partner company based in New Zealand seeking a Cloud Engineer to support and expand modern cloud-based data systems.

Role and Responsibilities

• Provide frontline technical assistance for application teams utilizing the ServiceNow ticketing system to troubleshoot and resolve typical Databricks and cloud-related queries.
• Gather and analyze technical requirements to help onboard new Data Landing Zones (DLZs).
• Run pipelines, scripts, and automation workflows to deploy, configure, or alter Azure and Databricks infrastructures.
• Deploy common Azure resources using Infrastructure as Code (IaC) methodologies.
• Identify recurring manual tasks and create automation solutions to improve efficiency and support responsiveness.
• Collaborate with application, cloud, data, and other interdisciplinary teams to resolve technical challenges and ensure smooth onboarding processes.
• Develop and maintain documentation on support workflows, configurations, and troubleshooting methods.
• Contribute to ongoing enhancements in cloud support operations and overall Databricks environment management.

Requirements

• 1 to 3 years of hands-on experience with Databricks in technical or operational settings.
• 1 to 3 years experience working with Azure Data Factory.
• Background in application support, technical operations, cloud support, or related roles.
• Knowledge of major cloud platforms, especially Azure; familiarity with AWS or GCP is advantageous.
• Experience with version control systems such as Git, GitHub, or GitLab.
• Understanding of Databricks features including Unity Catalog, RBAC, authentication, and Delta Sharing is highly preferred.
• Experience within Azure cloud environment and resource management.
• Familiarity with Infrastructure as Code tools like Terraform, Bicep, or AWS CDK.
• Exposure to CI/CD pipelines and automation tools such as Azure DevOps, Jenkins, or GitHub Actions is a plus.
• Proficiency in scripting or development languages like Python, PowerShell, or Bash.
• Strong analytical and problem-solving skills, with keen attention to detail and a proactive mindset.
• Clear communication skills and the ability to collaborate effectively with both technical and non-technical teams.

Benefits

• Hands-on experience with Databricks, Azure cloud infrastructure, and modern data technologies.
• Learning opportunities in Infrastructure as Code, CI/CD, automation, and cloud operations.
• Collaborative work environment engaging with cross-functional and application teams.
• Chance to develop expertise in the growing data and cloud technology landscape.
• Role combines technical support, cloud engineering, automation, and process improvement.
• Professional growth potential through exposure to a wide range of cloud and data platform challenges.

Additional Information

This role is managed by a partner company who conducts application processing and subsequent recruitment steps. The position is based in New Zealand and requires onsite presence. The recruitment process employs AI tools for candidate matching but final hiring decisions are made by humans.