Data Engineer Tech Lead

Iris Software Inc.; Mississauga; Hybrid; CAD 110,000 - 150,000; Full time

Job summary

Iris Software Inc. is hiring a Data Engineer Tech Lead for a long-term engagement in Mississauga, ON, in a hybrid work setup. The role focuses on building and optimizing cloud-based data platforms, data warehousing, and end-to-end data solutions for a major bank client.

The ideal candidate will have 5–8 years of SQL and Python experience, with Snowflake, dbt, and Airflow expertise, and will collaborate closely with Data Architects, Analysts, and business stakeholders across a large program.

Qualifications

• 5–8 years of SQL and Python experience.
• Cloud data platform experience, Snowflake preferred.
• Experience with Stored Procedures, dbt.
• Data warehouse design and data modelling.
• Workflow orchestration with Airflow or equivalent.
• Strong analytical and problem-solving abilities.
• Clear communicator and cross-functional collaboration with Data Architects and stakeholders.

Skills

SQL

Python

Snowflake

Stored procedures

dbt

Airflow

Data modelling

Cross-functional collaboration

Analytical thinking

Tools

Airflow

Job description

Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Data Engineer Tech Lead a long-term opportunityat Mississauga, ON (Hybrid).

Our client is a Canadian multinational financial services company and the largest bank in Canada by market capitalization. The bank serves over 17 million clients and has more than 89,000 employees worldwide. Bank is serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services.

Position: Data Engineer Tech Lead

Duration: Long Term (12+ Months)

Must have skills

• 5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred)
• Experience with Stored procedures, task, dbt
• Data warehouse design, data modelling, workflow orchestration (Airflow or equivalent)
• Strong analytical and problem-solving ability
• Clear communicator; effective cross-functional collaborator, must work effectively with Data Architects, Analysts, and business stakeholders across a large program