Associate, Data Engineer

Toronto, Ontario

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 23, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

Jobs

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Application Deadline: Address: 100 King Street West Job Family Group: Capital Mrkts Sales & Service BMO Capital Markets is a leading, full-service North American-based financial services provider, with over 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services. BMO Capital Markets is a member of BMO Financial Group (…

This role is based in Ontario. BMO is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Associate, Data Engineer in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

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Typical qualifications for Canadian employers

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
Strong programming skills in Python or similar languages
Knowledge of SQL and relational databases
Understanding of ETL processes and data warehousing concepts
Ability to work in a fast-paced financial services environment

Fit check

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What you'll do

Develop and maintain data pipelines and ETL processes
Design and optimize database schemas
Collaborate with data analysts and business stakeholders
Support data infrastructure and platform development
Write clean, maintainable code and documentation
Troubleshoot and resolve data-related issues

What you'll need

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
Strong programming skills in Python or similar languages
Knowledge of SQL and relational databases
Understanding of ETL processes and data warehousing concepts
Ability to work in a fast-paced financial services environment