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Azure DevOps Engineer – Data & Analytics (ID: 2471)

Stafide
Full-time
On-site
Velsen-Noord, Netherlands
As an Azure DevOps Engineer, you will:
  • Collaborate within an Agile (Scrum) team to drive innovation and maintain essential Data & Analytics services.
  • Manage and improve the Data & Analytics (DnA) platforms hosted in the Microsoft Azure Cloud, supporting the organization’s data-driven goals.
  • Focus on maintaining and enabling central data services to support various data teams’ use cases.
  • Develop and manage automated pipelines within Azure DevOps, contributing to an "Infrastructure as Code" environment.
  • Handle Azure services like Azure SQL Database, Azure VMs, and Databricks for central data services, such as Master Data Management, data integration (ETL), data virtualization, and data cataloging.
  • Maintain security protocols and optimize performance and costs of cloud-based services.
What You Bring to the Table:
  • A bachelor’s degree in IT or a proven track record in similar environments.
  • Minimum of 3 years of experience as an Azure Engineer within an Agile (Scrum) environment.
  • Certification in Azure Foundation AZ-900 and/or Azure Administrator Associate AZ-104.
  • Familiarity with CI/CD pipelines, Microsoft Azure DevOps, and experience managing both Linux (RHEL) and Windows servers.
  • Strong problem-solving skills and a proactive approach to experimentation and improvement.
You should possess the ability to:
  • Efficiently manage, migrate, and patch Azure resources in a production environment.
  • Utilize Azure Monitor/Analytics to build dashboards and improve infrastructure insights.
  • Identify and implement cost optimizations in the Azure environment.
  • Create infrastructure as code pipelines within Azure DevOps.
  • Document new functionalities and contribute to the internal Wiki for knowledge sharing.
  • Provide incident support to maintain seamless business operations.
What we bring to the table:
  • A dynamic team environment working on a broad stack of Azure cloud-based data products.
  • Active involvement in pivotal Data & Analytics platforms that support significant industry advancements.
  • Freedom to address and solve diverse challenges and continuously seek improvements.
  • An Agile, collaborative setting where open communication and idea-sharing are encouraged.