Data Engineer

Motion Recruitment

Montreal

Hybrid

CAD 90,000 - 120,000

Full time

4 days ago
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Benefits offered by this job

Medical, Dental, and Vision Insurance
Vacation Time

Job summary

Motion Recruitment is seeking a Data Engineer for a permanent, full-time role in the Montreal area. The position focuses on building Python-based data and ML infrastructure, collaborating with data scientists, and owning ML tooling and cloud deployments.

The role is hybrid, offering opportunities to influence stack decisions and grow within a data-focused team. You will work with Python, SQL, and cloud services to make the data foundation faster, cleaner, and more reliable, contributing to

Qualifications

  • Bachelor’s degree in a technical or quantitative field.
  • Strong Python with data libraries.
  • Advanced SQL.
  • 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.

Skills

Python
SQL
Cloud platforms
Data processing tools
MLOps
Git
Agile tooling

Education

Bachelor’s degree in a technical or quantitative field

Job 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
  • 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
Desired Skills & Experience
  • Experience deploying ML models to production
  • Experience with data quality and testing frameworks
  • Experience evaluating and introducing new tools
What You Will Be Doing
Tech Breakdown
  • 40% Python
  • 20% SQL
  • 20% MLOps
  • 20% Cloud / Big Data
Daily Responsibilities
  • 80% Hands On
  • 20% Team Collaboration
The Offer
  • Competitive compensation
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time

Current Vacancy: Yes

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.

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