Data Engineer

Toronto, ON
Hybrid
Posted Oct 14, 2026
1 position

$65–$80 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, build, and optimize enterprise data pipelines using Azure Data Factory and Databricks, including Delta tables, governance, security, and migration to Unity Catalog. Manage Azure resources and CI/CD deployments, and lead technical problem-solving while guiding a small team.

Job details

Job Title: Data Analyst - Expert (Senior Data Engineer) Location: Once every Thursday, and 2nd Friday in Downtown, Toronto Line of Business: Global Asset Management Technology Duration: 6-Month Contract (Potential for extension) Compensation: T4: $65-$70/HR | IC: $75-$80/HR About the Role We are looking for an Expert Data Analyst / Senior Data Engineer to join our Global Asset Management Technology team. Our business is currently undergoing a major data transformation journey, actively exploring and expanding advanced functionalities within Databricks and modern cloud ecosystems. You will work closely with a Data Engineer Lead, Senior Data Engineers, and Business Analysts to build, secure, and optimize enterprise-scale data pipelines supporting institutional execution and quantitative analysis groups. Key Responsibilities Design, build, and optimize end-to-end data pipelines loading large-scale datasets from various sources into Azure Databricks using Azure Data Factory (ADF) and Medallion architecture. Engineered silver-layer Delta tables and views, establishing proper table design, properties, schema, and security permissions. Migrate Databricks workspaces from Hive Metastore to Unity Catalog, setting up associated permissions and governance configurations. Ensure smooth deployment and DevOps pipelines using Azure DevOps or GitHub Enterprise for both ADF and Databricks artifacts. Implement Azure Entra ID for Single Sign-On (SSO) and Role-Based Access Control (RBAC). Deploy to and manage Azure PaaS resources (such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases) in a locked-down, highly regulated windows environment. Lead technical problem-solving sessions and guide a small team independently with minimal supervision. Key Requirements & Qualifications Core Technical Stack: 7+ years of hands-on development experience with Azure Data Factory (ADF), Databricks, and Azure Functions (C#). Development & Coding: In-depth development experience using Python, notebooks, PySpark, and Pandas on Databricks. Governance & Architecture: Expert working knowledge of Unity Catalog and data governance setup, alongside Medallion architecture. Cloud & DevOps: In-depth experience with Azure Entra ID (SSO/RBAC), Azure PaaS resources, and CI/CD deployment pipelines (Azure DevOps/GitHub Enterprise). Environment: Proven ability to work independently in a locked-down, highly regulated financial services or enterprise environment. Nice-to-Haves: Experience with Delta Live Tables, previous Tier-1 financial institution/CIBC background, and strong communication skills.

What you’ll do

Requirements

Requires 7+ years of hands-on experience with Azure Data Factory, Databricks, and Azure Functions, plus strong development skills in Python, PySpark, and Pandas. Candidates should have expertise in Unity Catalog, Medallion architecture, Azure identity and access controls, Azure PaaS, and CI/CD, with the ability to work independently in a regulated enterprise environment.