Data Integration Engineer

Etobicoke, Toronto

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 24, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 7/100

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

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Job Description Job Description See what you can do with Prophix Prophix helps finance teams work with greater flexibility and confidence through Prophix One™, our Financial Performance Platform. We bring planning, reporting, and automation together so people can focus on higher-value work instead of repetitive tasks. As we introduce more AI-enabled capabilities, you will be part of a human-centered innovation journey where intelligent tools support better outcomes while people lead the decisio…

This role is based in Ontario. Prophix 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 Data Integration 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

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

Experience with data integration tools and ETL processes
Proficiency in SQL and database management
Knowledge of cloud platforms (AWS, Azure, or GCP)
Understanding of data architecture and pipeline design
Experience with APIs and data connectors

Fit check

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What you'll do

Design and develop data integration solutions
Build and maintain ETL pipelines
Integrate data from multiple sources into Prophix platform
Ensure data quality and consistency
Support financial planning and reporting automation
Collaborate with cross-functional teams
Optimize data workflows and performance

What you'll need

Experience with data integration tools and ETL processes
Proficiency in SQL and database management
Knowledge of cloud platforms (AWS, Azure, or GCP)
Understanding of data architecture and pipeline design
Experience with APIs and data connectors
Problem-solving and analytical skills