Azure Cloud Engineer, Data Mesh and AI Platforms team
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Are hands-on: You enjoy building infrastructure, automation, and platform capabilities that are robust, reusable, and easy for others to consume.
- Care about secure engineering: You understand that identity, access, network boundaries, auditability, and operational controls are core parts of platform delivery.
- Are delivery focused: You can take agreed priorities and engineering standards, break them into concrete tasks, and deliver working outcomes with quality and discipline.
- Are curious about AI platforms: You want to help make data and AI capabilities available in a controlled, scalable, and developer-friendly way.
- Collaborate well: You communicate clearly, ask good questions, and work constructively with engineers, architects, and governance stakeholders.
- Education and Experience: A BSc or MSc in Computer Science, Engineering, Information Security, Data Engineering, or a related discipline, or equivalent practical experience. Several years of experienc
- Required Qualifications: Practical experience building or operating production-grade infrastructure on Azure. Strong Terraform and automation experience, with an understanding of reusable module desig
Full description
Job ID: 6282
Welcome to Group Technology, where we engineer solutions that support Nordea's transformation and enable the Customer Vision and Business Strategy. As part of Nordea's 2030 strategic direction, we are modernizing our technology and data estate while accelerating the adoption of AI-enabled capabilities across the bank.
We are looking for experienced Azure Cloud Engineers to join our Data Mesh and AI Platforms team. You will help deliver secure, automated, and reusable Azure infrastructure and platform capabilities in close collaboration with engineers, architects, product owners, and governance stakeholders.
This is a hands-on engineering role. You will design, build, test, and improve Azure platform patterns, automation, and operational controls that enable internal teams to provision and operate modern data and AI solutions safely in a regulated banking environment.
About our team
Welcome to the Data Mesh and AI Platforms team. We are building the next generation of cloud-native data and AI platform capabilities for Nordea, with a strong focus on secure infrastructure, automated provisioning, identity integration, reusable engineering patterns, and strong operational controls. You will work closely with product owners, engineers, architects, cybersecurity, data governance, and cloud platform teams. The role requires strong practical engineering skills, a delivery mindset, and the ability to turn platform architecture and agreed standards into high-quality, reusable implementation. This is a full-time permanent position with a hybrid working arrangement—up to 40% remote work is possible, but full remote work is not allowed. We expect to hire in one of these cities: Gdańsk or Gdynia, Poland; or Helsinki, Finland.
Your main responsibilities will include, but are not limited to:
- 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.