Azure Cloud Engineer, Data Mesh and AI Platforms team

Nordea; Województwo pomorskie; On-site; PLN 90,000 - 120,000; Full time

Job summary

Nordea is seeking an experienced Azure Cloud Engineer to join the Data Mesh and AI Platforms team. You will design, build, test, and improve Azure platform patterns, automation, and controls to enable secure, scalable data and AI solutions in a regulated banking environment.

Join a hands-on engineering team collaborating with engineers, architects, product owners, and governance stakeholders to deliver reusable infrastructure and platform capabilities at scale.

Qualifications

• Experienced Azure Cloud Engineer in a data/AI platform environment.
• Hands-on role designing and implementing cloud infrastructure patterns.
• Familiarity with automated provisioning and secure architectures.

Responsibilities

• Design, build, test, and improve Azure platform patterns.
• Develop automation and operational controls for secure data and AI solutions.
• Collaborate with engineers, architects, product owners and governance teams.

Job 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