
Azure Cloud Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Company in Helsinki, Finland"), this listing's salary midpoint is about 98% lower. The offer sits below the benchmark range (€9,833–€12,500). The listed pay band (€225–€263) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 1 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Helsinki, Finland | €2,083/per month | €2,932/per month | €5,000/per month |
| Company in Helsinki, Finland | €9,833/per month | €11,167/per month | €12,500/per month |
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.
Job Details
Responsibilities
- 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 well-structured backlog items, engineering tasks, implementation plans, and technical documentation.
- Collaborate with cybersecurity, governance and architecture teams to ensure platform capabilities meet security, compliance, and operational expectations.
- Contribute to code reviews, pattern reviews, testing practices, and continuous improvement of the Azure platform engineering experience.
Requirements
- Azure infrastructure: Hands-on experience with Azure subscriptions, resource groups, virtual networks, hub-and-spoke networking, private endpoints, Azure Firewall, network security groups, and environment separation.
- Terraform and IaC: Strong Terraform skills, including module usage, reusable patterns, state handling, variables, outputs, validation, and promotion across environments.
- Identity and security: Knowledge of Microsoft Entra ID, Azure RBAC, least privilege, managed identities, federation, Key Vault, key management, and secure access patterns.
- CI/CD and automation: Experience building or operating Azure DevOps or equivalent pipelines for infrastructure provisioning, validation, deployment, policy checks, and release management.
- Data and AI platform services: Working knowledge of services such as Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, Azure Data Factory, Event Hubs, Azure Storage, Azure Functions, or AKS.
- Observability and operations: Experience with Azure Monitor, Log Analytics, Application Insights, alerting, dashboards, runbooks, incident response, and production-readiness practices.
- Engineering collaboration: Clear communication, technical documentation, and participation in reviews.
Skills & Technologies

| Location | Active listings |
|---|---|
| Helsinki, Finland | 193 |
| Remote - Global | 41 |
| Remote - Finland | 19 |
| Stockholm, Sweden | 19 |
| Gdańsk, Poland | 16 |
| Warsaw, Poland | 14 |
| Copenhagen, Denmark | 14 |
| Gdynia, Poland | 10 |
| Oslo, Norway | 9 |
| Łódź, Poland | 9 |
| Remote - Estonia | 5 |
| Warszawa, Poland | 5 |
| Remote - Norway | 5 |
| Remote - Sweden | 5 |
| Remote - Poland | 5 |
| Poland, Poland | 4 |
| Finland, Finland | 4 |
| Norway, Norway | 4 |
| Estonia, Estonia | 4 |
| Denmark, Denmark | 4 |
| Lodz, Poland | 4 |
| Sweden, Sweden | 4 |
| Tallinn, Estonia | 4 |
| Gdansk, Poland | 3 |
| Oulu, Finland | 1 |
| København S, Denmark | 1 |
| Role type | Active listings |
|---|---|
| Careers | 95 |
| Job | 42 |
| Healthcare Professional | 16 |
| Generalist | 12 |
| Human Resources Specialist | 12 |
| Ura | 10 |
| Data Engineer | 9 |
| Data Scientist | 3 |
| IT Developer | 3 |
| Growth Strategist | 2 |
| Senior Cloud Platform Engineer | 2 |
| DevOps Engineer | 2 |
| IT Infrastructure Specialist | 2 |
| Java Developer | 2 |
| Job seeker | 2 |
| Strategic Partner | 2 |
| AI Engineer | 2 |
| Management Partner | 2 |
| Developer | 1 |
| Project Manager | 1 |
| Chief Expert / Information Architect | 1 |
| IT Architect | 1 |
| Associate Process Specialist | 1 |
| Test Analyst | 1 |
| Enterprise Architect | 1 |
| AI Safety Specialist | 1 |
| IT Security Specialist | 1 |
| Senior Integration Lead | 1 |
| Delivery Lead | 1 |
| Product Owner | 1 |
| Student Client Credit Manager | 1 |
| Business Analyst | 1 |
| Senior Data Scientist | 1 |
| Cloud Platform Engineer | 1 |
| Pega Architect | 1 |
| Investment Banking Analyst | 1 |
| Desk Quant | 1 |
| M365 AI Governance & Risk Lead | 1 |
| Quantitative Risk Analyst | 1 |
| Pega Lead System Architect | 1 |
| Quant Developer | 1 |
| Machine Learning Engineer | 1 |
| Service Domain Architect | 1 |
| M365 AI Platform Architect | 1 |
| Java Tech Lead | 1 |
| Strategy Manager | 1 |
| Physical Security Specialist | 1 |
| Key Account Manager | 1 |
| Head of Core Technology Financial Partnering | 1 |
| IT Operations Specialist | 1 |
| Software Engineer | 1 |
| Healthcare | 1 |
| Sales Manager | 1 |
| AI Data Engineer | 1 |
| Threat Intelligence Specialist | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 129 |
| Senior | 44 |
| Manager | 4 |
| Executive | 2 |
| Intern | 1 |
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