Spécialiste sénior en ingénierie des données pour l’IA

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
NOC code: 21223 — Database analysts and data administrators
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

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Rejoignez une nouvelle équipe basée à Montréal et contribuez à transformer les informations produit, les modèles sémantiques, la documentation, les scripts et les données opérationnelles en fondations fiables pour des applications intégrant l'IA. Dans le cadre de l'initiative Energy Intelligence, vous participerez au développement de capacités destinées à plusieurs produits, processus d'ingénierie et lignes d'affaires. Vous réunirez expertise métier, modélisation sémantique et ingénierie appliq…

This role is based in Quebec. The Canadian NOC code for this position is 21223 — Database analysts and data administrators. 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 Spécialiste sénior en ingénierie des données pour l’IA 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

21223 — Database analysts and data administrators. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.

Typical qualifications for Canadian employers

Senior-level expertise in data engineering
Experience with AI/ML applications
Knowledge of semantic modeling and ontologies
Strong understanding of data architecture and governance
Proficiency with data engineering tools and technologies

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What you'll do

Transform product information into reliable foundations for AI applications
Develop semantic models and data frameworks
Engineer data pipelines for multiple products and business lines
Contribute to Energy Intelligence initiative development
Design and maintain data infrastructure for AI integration
Document data systems and processes
Work with cross-functional teams on data engineering standards
Establish reliable data foundations for operational and analytical use

What you'll need

Senior-level expertise in data engineering
Experience with AI/ML applications
Knowledge of semantic modeling and ontologies
Strong understanding of data architecture and governance
Proficiency with data engineering tools and technologies
Ability to work with business domain expertise
Experience managing operational and product data