Databricks Engineer - Expert

Location: Toronto, ON

Onsite Flexibility: Hybrid Thursday and 4th Friday of the month (may change due to business requirements)

Contract Details

- Position Type: Contract
- Contract Duration: 6 months (with potential for extension; possible conversion to FTE)
- Pay Rate: C$85.00 C$95.00 / Hour (CAD)
- Shift / Schedule: 37.5 hours/week, 9:00 AM 5:00 PM, Monday to Friday

Job Summary

This contractor role sits within the Global Asset Management Technology line of business, which supports institutional execution the process by which asset managers carry out large-scale investment transactions on behalf of institutional clients. The work involves optimizing trade strategies, ensuring best pricing, minimizing market impact, and adhering to regulatory requirements to achieve efficient and secure execution of investment decisions. The business is currently on a transformation journey and is open to exploring advanced functionality of Databricks. The successful candidate will work on a daily basis with the Data Engineer Lead and client stakeholders, and will join a team consisting of one Data Engineer Lead, five Senior Data Engineers, and three Client/PM members.

Key Responsibilities

- 7 years of experience with ADF, Databricks, and Azure Functions (C#)
- In-depth development experience with Python/notebook on Databricks/Spark/Pandas
- Expert working knowledge of Unity Catalog and data governance setup/configuration
- Experience in loading datasets from various sources using ADF to Databricks with Medallion architecture
- Experience in converting Databricks workspace from Hive Metastore to Unity Catalog and setting up associated permissions
- Creating Delta table schema/tables with proper design/properties and security permissions
- DevOps and deployment pipeline using Azure DevOps/GitHub Enterprise for both ADF and Databricks
- In-depth experience with Azure Entra ID for SSO/RBAC setup




- In-depth experience working with and deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases
- Familiarity working in a locked-down Windows workplace for a highly regulated industry
- Ability to work independently and lead a small team
- Proven ability to work independently with minimum supervision
- Ability to lead a small team and technical problem-solving sessions

Required Skills

- ADF orchestrations with Databricks
- Databricks (Python notebooks, jobs, clusters, Delta Lake, Medallion architecture, performance tuning/cost optimization)
- CI/CD and security
- Monitoring
- Meticulous and detail-oriented
- Autonomous; able to work independently
- Works well in a team setting
- Excellent communication skills

Preferred Skills

- Experience with Delta Live Tables
- Previous experience at a financial institution
- Financial Services Industry experience

Work Environment / Physical Requirements

- Hybrid work model: onsite Thursdays and the 4th Friday of each month; schedule may change due to business requirements
- No overtime expected

- Medical, Vision, and Dental Insurance Plans
- 401k Retirement Fund

About the Client

This client is a leading North American financial institution offering a comprehensive range of banking, wealth management, and capital markets products and services to individuals, businesses, and institutional clients across its home market and internationally. The organization employs data engineers, software developers, quantitative analysts, project managers, and technology specialists who collaborate to support large-scale investment and banking operations across global markets.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-13847 Industry: Engineering

#LI-Onsite #LI-GTT #gttca

📌 Databricks Engineer - Expert (Canada)
🏢 GTT
📍 Canada