Senior AI Data Engineering Specialist

Montréal, Québec

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 27, 2026
Province: Quebec (QC)

Hiring confidence: Sparse posting · 11/100

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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Join a new Montréal-based team and help transform product information, semantic models, documentation, scripts, and operational data into reliable foundations for AI-enabled applications. As part of the Energy Intelligence initiative, you will contribute to capabilities that support multiple products, engineering workflows, and lines of business. You will bring together subject-matter expertise, semantic modeling, and applied AI engineering to make complex information easier for models to retri…

This role is based in Quebec. Schneider Electric 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 Quebec

Average salary for Senior AI Data Engineering Specialist in Quebec

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

NOC code

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Typical qualifications for Canadian employers

Senior-level experience in data engineering
Expertise in AI/ML data preparation
Strong semantic modeling knowledge
Experience with data transformation and pipeline development
Proficiency in Python and SQL

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What you'll do

Transform product information into reliable foundations for AI applications
Develop semantic models for complex information
Create and maintain data pipelines and scripts
Manage operational data for multiple products
Support engineering workflows across lines of business
Contribute to the Energy Intelligence initiative
Make complex information accessible for AI models
Work with subject-matter experts and engineers

What you'll need

Senior-level experience in data engineering
Expertise in AI/ML data preparation
Strong semantic modeling knowledge
Experience with data transformation and pipeline development
Proficiency in Python and SQL
Understanding of AI-enabled applications
Experience with operational and product data
Ability to work with cross-functional teams