Azure Cloud Engineer, Data Mesh and AI Platforms team

Nordea is a bank undergoing technology and data modernization as part of its 2030 strategic direction, focusing on AI-enabled capabilities. The Data Mesh and AI Platforms team builds cloud-native data and AI platform capabilities with a focus on secure infrastructure, automated provisioning, identity integration, reusable engineering patterns, and strong operational controls.

• Hands-on experience with Azure subscriptions, resource groups, virtual networks, hub-and-spoke networking, private endpoints, Azure Firewall, network security groups, and environment separation.
• Strong Terraform and infrastructure-as-code skills including module usage, reusable patterns, state handling, variables, outputs, validation, and promotion across environments.
• Practical knowledge of Microsoft Entra ID, Azure RBAC, least privilege, managed identities, federation, Key Vault, key management, and secure access patterns.
• Experience building or operating CI/CD pipelines using Azure DevOps or equivalent for infrastructure provisioning, validation, deployment, policy checks, and release management.
• Working knowledge of Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, Azure Data Factory, Event Hubs, Azure Storage, Azure Functions, and AKS.
• Experience with Azure Monitor, Log Analytics, Application Insights, alerting, dashboards, runbooks, incident response, and production-readiness practices.
• Ability to work collaboratively, write clear documentation, participate in reviews, and communicate technical decisions clearly.
• Education: BSc or MSc in Computer Science, Engineering, Information Security, Data Engineering or related field, or equivalent practical experience.
• Several years of experience in cloud, infrastructure, platform engineering, or DevOps roles in regulated environments.

• Build, configure and improve Azure infrastructure foundations using Terraform and automated delivery pipelines.
• Implement reusable infrastructure-as-code modules for subscriptions, resource groups, networking, Azure RBAC, managed identities, secrets, logging, monitoring, and policy guardrails.
• Support secure Azure landing-zone patterns including management-group and subscription structure, hub-and-spoke networking, virtual networks, private endpoints, Azure Firewall, network security groups, and environment isolation.
• Create and maintain CI/CD pipelines for provisioning, validation, testing, deployment, and lifecycle management of platform components.
• Implement identity and access patterns using Microsoft Entra ID, federation, managed identities, least-privilege Azure RBAC, privileged access controls, and secure access workflows.
• Support Azure data and AI platform enablement including platform patterns for Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, Azure Data Factory, Event Hubs, Azure Storage, Azure Functions, and AKS.
• Build observability and operational controls using Azure Monitor, Log Analytics, Application Insights, alerting, dashboards, runbooks, and production-readiness checks.
• Translate platform priorities and agreed engineering standards into backlog items, engineering tasks, implementation plans, and technical documentation.
• Collaborate with cybersecurity, governance and architecture teams to meet security, compliance, and operational expectations.
• Contribute to code reviews, pattern reviews, testing practices, and continuous improvement of the Azure platform engineering experience.

Application deadline: 30/09/2026. Remote work up to 40% allowed; full remote work not permitted. Hiring locations: Gdańsk or Gdynia, Poland; Copenhagen, Denmark; or Helsinki, Finland. Personal data processing consent required as per GDPR and company policy. Responses only to selected applications.