Cloud Engineer

Jobgether; Portugal; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

Jobgether in Portugal is seeking a Cloud Engineer to support Databricks and Azure environments. You will onboard applications to DLZ, implement IaC, automation, and deployment pipelines, and provide first-line technical support across cross-functional teams.

You will troubleshoot requests, build reliable automation, document procedures, and help scale data platform operations while deepening expertise in Databricks, Azure, and cloud tooling.

Qualificações

• 1–3 years of hands-on Databricks experience.
• 1–3 years of Azure Data Factory experience.
• Experience in application support, cloud operations, or similar roles.
• Familiarity with Azure ecosystem and cloud resource management.
• Experience with source-control systems (Git, GitHub, GitLab).
• Understanding of Databricks Unity Catalog, RBAC, authentication, and Delta Sharing is desirable.
• Exposure to IaC tools such as Terraform, Bicep, or AWS CDK.
• Experience with CI/CD pipelines and automation platforms (Azure DevOps, Jenkins, GitHub Actions).
• Scripting or development in Python, PowerShell, Bash, or similar.

Responsabilidades

• Provide first-level technical support via ServiceNow for Databricks and cloud-related requests.
• Gather and analyze requirements for onboarding new Data Landing Zones (DLZs).
• Execute pipelines, scripts, and automated processes to manage Azure and Databricks resources.
• Assist deployment of Azure resources using Infrastructure as Code practices.
• Identify repetitive tasks and develop automation to improve efficiency and response times.
• Collaborate with cross-functional teams to resolve issues during onboarding.
• Create and maintain documentation for support procedures and configurations.
• Contribute to ongoing improvements of cloud support operations and Databricks environment.

Conhecimentos

Databricks

Azure

Terraform

CI/CD

Python

Git/GitHub/GitLab

Scripting

Ferramentas

GitHub

GitLab

Azure DevOps

Terraform

Descrição da oferta de emprego

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 Portugal.

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.