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Azure DevOps Engineer

  • Copenhagen, Denmark
  • DevOps
  • Professional
Apply Now

Azure DevOps Engineer

  • Copenhagen, Denmark
  • DevOps
  • Professional
Apply Now

Introduction

As a DevOps Engineer, you will play a critical role in building, optimizing, and maintaining data infrastructure. You will work closely with data engineers, data scientists, and other cross-functional teams to support the development, deployment, and monitoring of data pipelines and applications.

Your Role and Responsibilities

  • Implement and optimize CI/CD pipelines to automate the deployment of data pipelines, applications, and other platform components.
  • Manage and monitor cloud-based environments, ensuring high availability and performance for data processing and analytics tasks.
  • Troubleshoot and resolve issues related to data pipelines, services, and infrastructure components.
  • Employ best practices for security, scalability, and data governance in all aspects of the platform.
  • Work with modern data technologies, including Snowflake, Databricks, and DBT, to streamline data processing workflows.

‍Required Technical and Professional Expertise

  • Proven experience as a Platform/DevOps Engineer, preferably in a data-centric environment.
  • Experience with technologies such as Kafka, Snowflake, Databricks, and DBT is a strong advantage.
  • Proficiency in cloud platforms such as Azure (experience with AWS or Google Cloud is a plus).
  • Strong knowledge of infrastructure as code (Terraform preferred) and configuration management tools.
  • Solid understanding of CI/CD concepts and experience with Github Actions, Circle CI, or similar tools.
  • Strong scripting skills (Python, Bash, or similar) for automating tasks and creating tools.
  • Knowledge of monitoring and logging tools (e.g., DataDog) for maintaining platform health.

About Business Unit

[[COMPANY_NAME]] Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. [[COMPANY_NAME]] Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security,D and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. [[COMPANY_NAME]]’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. [[COMPANY_NAME]]’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

About Business Unit

[[COMPANY_NAME]] Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. [[COMPANY_NAME]] Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security,D and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. [[COMPANY_NAME]]’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. [[COMPANY_NAME]]’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

About Business Unit

[[COMPANY_NAME]] Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. [[COMPANY_NAME]] Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security,D and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. [[COMPANY_NAME]]’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. [[COMPANY_NAME]]’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

About Business Unit

[[COMPANY_NAME]] Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. [[COMPANY_NAME]] Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security,D and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. [[COMPANY_NAME]]’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. [[COMPANY_NAME]]’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
Key Job Details
  • Role: Azure DevOps Engineer
  • Location: Copenhagen, Denmark
  • Category: DevOps
  • Employment Type: Full-Time
  • Travel Required: No Travel
  • Modality: On-site
  • Company: (0109) [[COMPANY_NAME]] Polska Sp. zo.o.
  • Role: 681489BR
Apply Now
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