Data Cloud Engineer

Montréal, Québec

On-site

Full-time

No salary posted2 days ago

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Employment type: Full-time · On-site
Posted: November 10, 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

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Job Description As a Cloud Data Engineer , you will play a key role in advancing RCL's data strategy by designing, building and optimizing cloud-based data solutions. You will work closely with business and technology partners to develop scalable data platforms, engineer data pipelines and enable advanced analytics and machine learning initiatives across the organization. Design, develop and maintain a cloud-based data warehouse that consolidates and supports enterprise data assets. Build and o…

This role is based in Quebec. Reitmans Ltée/Ltd 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 Data Cloud Engineer 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

Cloud platform experience (AWS, Azure, or GCP)
Data warehouse design and optimization knowledge
Experience building data pipelines
Strong SQL skills
Understanding of data architecture principles

Fit check

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What you'll do

Design, build and optimize cloud-based data solutions
Design and maintain cloud-based data warehouse
Consolidate and support enterprise data assets
Build and maintain data pipelines
Enable advanced analytics initiatives
Support machine learning initiatives
Collaborate with business and technology partners
Develop scalable data platforms

What you'll need

Cloud platform experience (AWS, Azure, or GCP)
Data warehouse design and optimization knowledge
Experience building data pipelines
Strong SQL skills
Understanding of data architecture principles
Ability to work with business and technology teams