Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from Bay Street Staffing
Hiring Talent for my North American Clients | Sharing experience & tips for professionals!
Location: Remote (Canada-based preferred)
Duration: 6 Months Contract
Line of Business: Global Asset Management Group
Project Overview:
Join a key cloud transformation project at one of the Top-5 Banks, focused on modernizing data infrastructure by migrating from a legacy VM-based setup to a strategic Azure cloud platform using ADF and Databricks. You’ll play a vital role in improving enterprise data accessibility and analytics.
Key Responsibilities:
- Develop end-to-end data pipelines using Azure Data Factory (ADF) and Databricks
- Write scalable code in Python (Pandas, Spark, Notebooks)
- Build and manage Delta Lake tables and Unity Catalog
- Implement Medallion architecture for structured data layers
- Set up and manage CI/CD pipelines using Azure DevOps / GitHub Enterprise
- Configure Azure Entra ID for access management (SSO/RBAC)
Requirements:
- Intermediate Role: 4–6 years of Azure cloud/data engineering experience
- Senior Role: 7+ years with leadership/project ownership experience
- Strong expertise in Azure Functions (C#), ADF, Databricks, and deployment pipelines
- Familiarity with highly regulated or locked-down enterprise environments
- Financial services experience and Delta Live Tables knowledge are strong assets
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Contract
Job function
Job function
Information TechnologyIndustries
Banking and Financial Services
Referrals increase your chances of interviewing at Bay Street Staffing by 2x
Sign in to set job alerts for “Cloud Engineer” roles.
Toronto, Ontario, Canada CA$65.00-CA$6,575.00 4 weeks ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
