Publié il y a 18 jours
Data Engineer
@ Motion Recruitment
Montréal, Québec
SIGNAUX
Résumé des exigences :
- Required Skills & Experience
- Bachelor’s degree in a technical or quantitative field
- Strong Python, including experience with common data libraries
- Hands-on experience with at least one major cloud provider
- Experience with large-scale data processing tools
- Working knowledge of MLOps practices
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-26
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Motion Recruitment
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 5 |
Description
Our client, an established, data-driven technology company in Quebec, is hiring a permanent, full-time Data Engineer. You’ll work in Python, SQL, and the cloud, with a strong focus on machine learning infrastructure. The role is hybrid.
This is a chance to shape how a data team works, not just maintain what’s already there. You’ll partner closely with data scientists to make their data foundation faster, cleaner, and more reliable, and you’ll build the data and ML infrastructure that powers analytics and machine learning across the business. The client wants an engineer who likes ownership, has opinions on tooling, and wants a voice in where the stack goes next. In return you’ll get broad exposure across data engineering and ML operations, room to grow, and a team that values initiative.
Required Skills & Experience
Tech Breakdown
Use of AI in Hiring: Yes
Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.
Posted By: Jason Watters
This is a chance to shape how a data team works, not just maintain what’s already there. You’ll partner closely with data scientists to make their data foundation faster, cleaner, and more reliable, and you’ll build the data and ML infrastructure that powers analytics and machine learning across the business. The client wants an engineer who likes ownership, has opinions on tooling, and wants a voice in where the stack goes next. In return you’ll get broad exposure across data engineering and ML operations, room to grow, and a team that values initiative.
Required Skills & Experience
- Bachelor’s degree in a technical or quantitative field
- Strong Python, including experience with common data libraries
- Advanced SQL
- Hands-on experience with at least one major cloud provider
- Experience with large-scale data processing tools
- Working knowledge of MLOps practices
- Git and standard agile tooling
- Experience deploying ML models to production
- Experience with data quality and testing frameworks
- Experience evaluating and introducing new tools
Tech Breakdown
- 40% Python
- 20% SQL
- 20% MLOps
- 20% Cloud / Big Data
- 80% Hands On
- 20% Team Collaboration
- Competitive compensation
- Medical, Dental, and Vision Insurance
- Vacation Time
Use of AI in Hiring: Yes
Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.
Posted By: Jason Watters
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