DevOps Cloud Engineer (Azure & Databricks)
Technology, Data & Digital · IT Infrastructure & Security · DevOps · Cloud Engineering · Data Engineering
In short
As a DevOps Cloud Engineer (Azure & Databricks) at Vattenfall, you will operate and develop platforms supporting data, analytics, and AI ambitions. This role focuses on designing, implementing, and managing secure, scalable Azure and Databricks environments using CI/CD, IaC, and automation, contributing to Vattenfall's digital innovation and fossil-free living mission.
Responsibilities
- Design, implement, and operate Azure-based cloud platform solutions.
- Build and maintain CI/CD pipelines using Azure DevOps, Git, and automation tools.
- Develop and manage Infrastructure as Code solutions using ARM, Bicep, and scripting technologies.
- Automate provisioning, deployment, and lifecycle management of cloud resources.
- Maintain and improve self-service platform capabilities based on .NET Core and Angular.
- Ensure platform reliability, availability, and operational stability.
- Support administration and continuous improvement of Azure Databricks and Snowflake environments.
- Implement security controls in alignment with enterprise policies and governance requirements.
- Collaborate with architects, developers, and operations specialists to deliver secure and scalable cloud services.
- Operate and further develop Vattenfall’s Azure Databricks platform for analytics, data, and AI workloads.
- Manage identity and access controls through Azure AD integration and RBAC principles.
- Support secure networking concepts including private endpoints and secure cluster connectivity.
- Implement and maintain data governance capabilities using Unity Catalog and related Databricks services.
- Manage platform resources using Infrastructure as Code approaches such as Terraform and ARM templates.
- Establish compute standards, governance controls, and cost optimisation practices.
- Enable integrations with Azure Data Lake, Power BI, Snowflake, and other enterprise services.
- Support onboarding and adoption of platform capabilities across teams.
- Contribute to monitoring, logging, and security improvements throughout the platform landscape.
- Identify opportunities to improve performance, cost efficiency, and sustainability of cloud services.
- Enhance automation and self-service capabilities for platform users.
- Support the introduction of new cloud, AI, and analytics capabilities.
- Help create a seamless developer and data practitioner experience across the platform ecosystem.
Requirements
- Several years of experience as a Cloud Engineer, DevOps Engineer, or similar role in Azure environments.
- Hands-on experience with Azure Databricks, preferably within operations, governance, or platform engineering.
- Strong understanding of Azure services including Networking, Storage, App Services, Virtual Machines, and Entra ID (Azure AD).
- Experience with Azure DevOps, Git, and CI/CD practices.
- Experience working with Infrastructure as Code technologies such as ARM, Bicep, Terraform, and PowerShell.
- Knowledge of analytics and data platforms such as Databricks, Snowflake, Spark, or modern data lake architectures.
- Understanding of cloud governance, security, and access management principles.
- Experience with scripting and automation using PowerShell, Python, or similar technologies.
- Strong troubleshooting and problem-solving capabilities.
- Professional communication skills in English (local language skills are a plus but not mandatory).
Desired Qualifications
- Experience with container technologies such as Docker and Kubernetes.
- Familiarity with FinOps practices and cloud cost optimisation.
- Experience supporting enterprise AI or machine learning platforms.
Benefits
- Challenging and independent job in an informal, dynamic working environment.
- Opportunity to shape the future of a company where the only constant is change.
- Great work atmosphere.
- Striving for diversity helps building a more profitable, efficient, and attractive company.
- Belief in work-life balance and flexibility to work from home.
#DevOps#Cloud Engineering#Azure#Databricks#Data Platform#AI#Analytics#Infrastructure as Code#CI/CD#Cloud Governance#Security#Automation#FinOps