Senior Data Analyst / Data Engineer # Request ID: -1Start/End Dates: 9/3/2026 - 3/2/2027Work Location: downtown Toronto, near TTC and GOJob Title: IT - Data Analyst - ExpertJob Title: Data Analyst - ExpertLine of Business: Global Asset Management TechnologyTarget Start Date: ASAPDuration: 6 monthsTarget rate range: $90-100hr B2BPotential for this contract to be extended or converted to FTE? Extension: Yes / Conversion: PossibleHybrid: 1 days in office per week/ Thursdays in office plus 4th Friday of each monthOffice Location: 81 Bay Street TorontoWork Schedule (hours per week, start time): 9-5/ 37.5 hoursPotential for OT? NoWhat does the LOB do?: Global Asset Management institutional execution is the process by which asset managers carry out large-scale investment transactions on behalf of institutional clients. This involves optimizing trade strategies, ensuring best pricing, minimizing market impact, and adhering to regulatory requirements to achieve effective and secure execution of investment decisions.Reason the role is open? Data EngineerTeam (# of members, culture, etc): 1 Data Engineer Lead + 5 Senior Data Engineer + 3 BAs, PMHighlights of the role; why would someone choose this role over another?: Business is under transformation journey and open to explore advance functionality of databricks.Who Will the Candidate Be Working with on a Daily Basis?: Data Engineer Lead + BAsHow many years of experience?: 10+Job Description:7+ Years experience with ADF,



Databricks and Azure Functions (C#)In depth development experience python/notebook on Databricks/Spark/pandaExpert working knowledge of Unity Catalog and data governance setup/configurationExperience in loading datasets from various sources using ADF to Databricks with Medallion architectureExperience on converting Databricks workspace from hive metastore to unity catalog & setup associated permissionsCreating delta table schema/tables with proper design/properties & security permissionsNice to have experience on Delta Live Table.DevOps & deployment pipeline using Azure DevOps/GitHub Enterprise for both ADF and databricksIn depth experience on Azure Entra ID for SSO/RBAC setupIn depth experience on working with/deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, Synapse dedicated SQL databasesFamiliar to work in lock down windows environment for highly regulated industryAbility to work independently and lead a small team.Proven ability to work independently with minimum supervisionAbility to lead a small team and technical problem-solving sessionsFinancial Services Industry experience is an Asset.Excellent Communication skillsMust Have Requirements:7+ years as Data Analyst / Data EngineerADF + Databricks must be proficientNice to Have:Previous CIBC experience or experience in a financial institution.Soft Skills:MeticulousAttention to detailAutonomousWorks well in a team environmentNOTEClose on August 25 at 9AM#J-18808-Ljbffr

📌 Senior Data Analyst / Data Engineer 106385 (Toronto)
🏢 Carlos Goncalves
📍 Toronto