Hybrid Azure Data Platform Engineer | Terraform & Power BI

S.I. Systems Ltd.; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

S.I. Systems Ltd. is seeking an Intermediate Azure Cloud Platform Engineer to design, deploy, and support Azure data and analytics platforms in a Toronto hybrid environment.

The role focuses on Azure infrastructure, CI/CD automation, infrastructure as code, and Power BI platform support across scalable data environments. You will work hands-on with Azure data services, networking, and platform optimization initiatives, contributing to enterprise-grade data solutions for a financial services

Qualifications

• 5+ years of hands-on Azure cloud engineering for enterprise platforms.
• Proficiency with Azure Data Factory, Azure Databricks, Azure Functions, and API Management.
• Hands-on Terraform development for infrastructure as code.
• Administration and deployment of Power BI platform environments.
• Data engineering fundamentals include data pipelines, data lakes, and ingestion patterns.

Responsibilities

• Design Azure cloud infrastructure and data platform services
• Deploy Azure cloud infrastructure and data platform services
• Maintain Azure cloud infrastructure and data platform services
• Build CI/CD pipelines using GitHub Actions and Jenkins
• Develop infrastructure as code using Terraform
• Support and optimize Power BI platform environments
• Troubleshoot platform issues and provide operational support

Skills

Azure cloud engineering

Azure Data Factory

Azure Databricks

Azure Functions

API Management

Terraform

Power BI

Data pipelines

Data lakes

CI/CD pipelines

Jenkins

GitHub Actions

Azure DevOps

Tools

GitHub Actions

Azure DevOps

Jenkins

Job description

S.I. Systems Ltd. is seeking an Intermediate Azure Cloud Platform Engineer to design, deploy, and support Azure data and analytics platforms in a Toronto hybrid environment.

The role focuses on Azure infrastructure, CI/CD automation, infrastructure as code, and Power BI platform support across scalable data environments. You will work hands-on with Azure data services, networking, and platform optimization initiatives, contributing to enterprise-grade data solutions for a financial services