Senior Azure Cloud Platform Engineer – Power BI & Informatica
- Toronto, ON
- Hybrid
- Posted Nov 6, 2026
- 1 position
$49–$63 / hour
Opens an external site
- Employment type
- Contract, Full-time
- Experience level
- Senior
- Minimum education
- Professional degree
- Posting language
- English
- Working hours
- 37.5 hours per week
- Office presence
- 3 days per week
Job summary
The engineer will design, deploy, and maintain Azure cloud infrastructure while managing CI/CD pipelines and infrastructure as code. They will also provide operational support for enterprise platforms including Power BI, Informatica, and Databricks.
Job details
Senior Azure Cloud Platform Engineer Power BI & Informatica Bring your expertise to a dynamic technology environment where innovation, collaboration, and continuous improvement are at the heart of the journey. Join our client’s team and contribute to the evolution of enterprise technology in the insurance sector. What is in it for you: • Salaried: $49-54 per hour. • Incorporated Business Rate: $58-63 per hour. • 6-month contract. • Full-time position: 37.50 hours per week. • Hybrid work, with 3 days per week in the office. Responsibilities: • Design, deploy, and maintain Azure cloud infrastructure and data platform services. • Build and manage CI/CD pipelines using GitHub Actions and Jenkins. • Develop and maintain infrastructure as code using Terraform. • Support and optimize Power BI platform environments. • Collaborate with data engineering teams on scalable and cost-effective architectures. • Troubleshoot platform issues and provide operational support. • Administer and support enterprise platforms, including Azure, Power BI, Informatica, Databricks, and Azure Data Factory (ADF). • Support platform modernization, cloud migrations, version upgrades, and Disaster Recovery (DR) initiatives. • Install, configure, and support Power BI Gateways, including troubleshooting connectivity and refresh failures. • Manage Power BI workspaces, permissions, platform access, authentication, and data source connectivity. • Provide technical guidance and mentorship to junior engineers. • Collaborate closely with Data Engineering and AI Engineering teams. • Support emerging AI/LLM platforms. What you will need to succeed: Required qualifications • 5+ years of hands-on Azure cloud engineering experience. • Proficiency with Azure Data Factory, Azure Databricks, Azure Functions, and API Management. • Strong knowledge of Azure networking, including VNets, Private Endpoints, NSGs, and DNS. • Hands-on experience with Terraform for infrastructure as code. • Experience with Jenkins, GitHub, and GitHub Actions for source control and CI/CD. • Power BI platform administration and deployment experience. • Knowledge of data engineering fundamentals, including pipelines, data lakes, and ingestion patterns. • Experience supporting Informatica platforms. • Strong platform engineering experience, including platform administration, support, upgrades, governance, and troubleshooting. Preferred qualifications • Azure certifications such as AZ-104, AZ-305, or DP-203. • Experience with Azure Monitor, Log Analytics, and cost governance. • Familiarity with GitHub Actions and Azure DevOps. • Experience with Python and SQL. • Experience with cloud migrations and platform modernization. • Experience with Disaster Recovery (DR) and Business Continuity. • Exposure to AI/LLM platforms. • Experience in the insurance, banking, or financial services industry. Why Recruit Action? Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.
What you’ll do
The engineer will design, deploy, and maintain Azure cloud infrastructure while managing CI/CD pipelines and infrastructure as code. They will also provide operational support for enterprise platforms including Power BI, Informatica, and Databricks.
Requirements
Candidates must have at least 5 years of hands-on Azure cloud engineering experience and proficiency with data engineering tools. Strong knowledge of Azure networking, Terraform, and platform administration is required to succeed in this role.
Listed skills
- Microsoft Azure · Preferred
- Power BI · Preferred
- Terraform · Preferred
- CI/CD · Preferred
- SQL · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Azure
- Power BI
- Informatica
- Terraform
- GitHub Actions
- Jenkins
- Azure Data Factory
- Azure Databricks
- CI/CD
- Infrastructure as Code
- Data Engineering
- Cloud Migration
- Platform Administration
- SQL
- Python
- Disaster Recovery
- SQL (Programming Language)
- Authentications
- Business Continuity
- Mentorship
- Governance
- Troubleshooting (Problem Solving)
- Innovation
- Continuous Improvement Process
- Data Lakes
- Financial Services
- Cloud Infrastructure
- Python (Programming Language)
- Microsoft Azure
- Infrastructure as Code (IaC)
- Scalability
- Azure DevOps
- Product Family Engineering
- Version Control
- Github
- Cloud Engineering
- Databricks
- API Management
- Azure Functions
- Microsoft Azure Certification
- Azure Monitor
Job areas
- Technology
- Data & Analytics
- Software
- Engineering
- Finance & Accounting
- Cloud Platform Engineer
- Platform Engineer
- Software and Applications Developers and Analysts Not Elsewhere Classified
- Validation Engineers
- Industrial Engineers
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