Azure Platform Engineer: Scale Analytics Platform (Hybrid)

IQ Staffing; Utrecht; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

IQ Staffing seeks an Azure Platform Engineer for a large financial organisation in the Netherlands. The role involves designing and developing a scalable analytics platform used by more than 1,500 professionals, across an international Data & Analytics environment.

The engineer will work at the intersection of Azure Cloud, Databricks, IaC and CI/CD, designing the technical foundation for secure, scalable analytics and ML solutions at enterprise scale.

Qualifications

• At least 7 years of experience as a Platform Engineer, Cloud Engineer, DevOps Engineer or in a comparable position.
• Strong hands-on experience with Microsoft Azure.
• Experience with Azure Databricks.
• Experience with Terraform (Infrastructure as Code) and Azure DevOps.
• Familiarity with Docker and Kubernetes.

Responsibilities

• Design scalable, secure and efficient platform solutions using Microsoft Azure and Azure Databricks.
• Contribute to the architecture and further development of a large-scale analytics platform.
• Translate stakeholder requirements into technical solutions.
• Develop and maintain Terraform code to automate infrastructure provisioning and deployments.
• Build, maintain and optimise CI/CD pipelines, preferably using Azure DevOps.
• Monitor platform performance and identify opportunities for optimisation.
• Apply security, scalability and reliability principles throughout the platform.

Skills

Azure Platform

Azure Databricks

Infrastructure as Code

CI/CD

Docker & Kubernetes

Communication skills

Analytical thinking

Tools

Terraform

Azure DevOps

Job description

IQ Staffing seeks an Azure Platform Engineer for a large financial organisation in the Netherlands. The role involves designing and developing a scalable analytics platform used by more than 1,500 professionals, across an international Data & Analytics environment.

The engineer will work at the intersection of Azure Cloud, Databricks, IaC and CI/CD, designing the technical foundation for secure, scalable analytics and ML solutions at enterprise scale.