KP

Senior Data Engineer – Ingénieur des données

Dorval, Montréal
On-site
Full-time
No salary posted1 weeks ago
Employment type
Full-time · On-site
Posted
September 25, 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

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Data Engineer – Data & Analytics Group About KPI: KPI Digital helps clients reach their business objectives by identifying required capabilities and by providing the proper data and analytics strategy and foundation allowing handling of all data challenges including enterprise-wide AI scaling. We specialize in Data & Analytics from Strategy, Architecture, Governance, Modern D&A Platform, MDM and the entire D&A Value Chain (Data Ingestion, Data Pipelines, Lakehouse, AI Modeling, DO/OR, BI, Deplo…

This role is based in Quebec. KPI Digital 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 Engineer – Ingénieur 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

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 experience in data engineering
  • Proficiency in data pipeline development
  • Experience with modern data platforms
  • Knowledge of data governance practices
  • Understanding of enterprise data architecture

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Data Engineering
  • Data Pipelines
  • ETL/ELT

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What you'll do

  • Design and develop data pipelines
  • Implement data ingestion solutions
  • Build and maintain lakehouse architectures
  • Support data governance initiatives
  • Collaborate on enterprise-wide AI scaling
  • Provide technical guidance on data strategy
  • Ensure data quality and performance optimization
  • Work within Data & Analytics value chain

What you'll need

  • Senior-level experience in data engineering
  • Proficiency in data pipeline development
  • Experience with modern data platforms
  • Knowledge of data governance practices
  • Understanding of enterprise data architecture
  • Experience with cloud-based data solutions
  • Familiarity with AI/ML workflows

About the Company

KP

KPI Digital