Azure Data Platform DevOps Architect

Metyis; Porto; Presencial; EUR 70 000 - 120 000; Tempo integral

Resumo da oferta

Metyis is seeking an experienced Azure DevOps Engineer to lead the DevOps strategy for our Azure-based Data Platform, aligning with business goals and security standards.

You will design and optimize CI/CD pipelines, integrate Databricks and Azure Data Factory, and mentor a growing team of data engineers, data scientists, and DevOps professionals in a fast-paced, international environment.

Qualificações

• 5+ years of hands-on experience as an Azure DevOps Engineer or in a similar senior role within Data & Analytics.
• Deep expertise in Microsoft Azure services with a focus on data platforms, security, and scalability.
• Extensive experience with CI/CD tools (Azure DevOps Pipelines, GitHub Actions) and robust deployment design.
• Experience integrating Databricks into CI/CD pipelines and managing data workflows.

Responsabilidades

• Define and drive the DevOps strategy for the organization’s Azure-based Data Platform.
• Architect, design, implement, automate, and optimize advanced CI/CD pipelines for data workflows.
• Leverage Azure Data Services (Data Factory, Synapse, Databricks, Data Lake) to integrate pipelines with big data.
• Establish DevOps governance, automated testing, deployment strategies, and security controls.
• Lead observability, monitoring, and incident response to ensure platform reliability.

Conhecimentos

Azure DevOps

CI/CD

Databricks

Azure Data Factory

Azure Synapse

Azure Databricks

Terraform

ARM templates

Python scripting

GitHub Actions

Docker

Kubernetes

Ferramentas

Azure DevOps Pipelines

Databricks CI/CD

Terraform

ARM templates

Docker

Kubernetes

Python

Descrição da oferta de emprego

Metyis is seeking an experienced Azure DevOps Engineer to lead the DevOps strategy for our Azure-based Data Platform, aligning with business goals and security standards.

You will design and optimize CI/CD pipelines, integrate Databricks and Azure Data Factory, and mentor a growing team of data engineers, data scientists, and DevOps professionals in a fast-paced, international environment.