Développeur principal / Développeuse principale de données (ingénierie des données)
- Employment type
- Full-time · On-site
- Posted
- November 9, 2026
- NOC code
- 21231 — Software engineers and designers
- 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. The Canadian NOC code for this position is 21231 — Software engineers and designers. Intact Financial 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 Développeur principal / Développeuse principale de données (ingénierie des données) 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
21231 — Software engineers and designers. 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
- Advanced experience in data engineering and architecture
- Strong proficiency in SQL and Python
- Experience with big data technologies and tools
- Cloud platform experience (AWS, Azure, or GCP)
- Leadership and mentoring capabilities
Fit check
Is this role right for you?
Top skills this posting asks for:
- Data Engineering
- Data Architecture
- ETL/ELT Development
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What you'll do
- Lead data engineering initiatives and projects
- Design and implement scalable data pipelines
- Mentor junior team members
- Architect data solutions for business needs
- Collaborate with cross-functional teams
- Optimize data systems and performance
- Ensure data quality and governance standards
What you'll need
- Advanced experience in data engineering and architecture
- Strong proficiency in SQL and Python
- Experience with big data technologies and tools
- Cloud platform experience (AWS, Azure, or GCP)
- Leadership and mentoring capabilities
- Problem-solving and analytical skills
- Experience with ETL/ELT processes