Senior Data Engineering Specialist for AI
- Employment type
- Full-time · On-site
- Posted
- October 17, 2026
- Province
- Quebec (QC)
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
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 Data Engineering Specialist for AI 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
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
- 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
Fit check
Is this role right for you?
Top skills this posting asks for:
- Data Engineering
- Artificial Intelligence
- Semantic Modeling
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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