FO
Foresight

Senior Data Engineer

Montréal, Québec
On-site
Full-time
No salary posted4 days ago
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Employment type
Full-time · On-site
Posted
November 9, 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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This is only part of this posting — the job board it came from publishes a short summary. Read the full posting.
About Foresight Foresight's mission is to bring the world's critical infrastructure into service faster by better enabling teams to deliver complex capital projects. The AI buildout runs on physical things: data centers, power, and the supply chains behind them. A single hyperscale campus involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its own schedule and its own spreadsheets. When a project slips, the p…

This role is based in Quebec. Foresight 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 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

  • 5+ years of data engineering experience
  • Strong SQL and Python proficiency
  • Experience building and maintaining data pipelines
  • Knowledge of cloud platforms (AWS, GCP, or Azure)
  • Understanding of data architecture and best practices

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Data Engineering
  • SQL
  • Python

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What you'll do

  • Design and build scalable data pipelines and infrastructure
  • Develop ETL processes for complex data integration
  • Collaborate with cross-functional teams on data solutions
  • Optimize data warehouse performance and efficiency
  • Mentor junior engineers and establish data best practices
  • Ensure data quality and reliability across systems

What you'll need

  • 5+ years of data engineering experience
  • Strong SQL and Python proficiency
  • Experience building and maintaining data pipelines
  • Knowledge of cloud platforms (AWS, GCP, or Azure)
  • Understanding of data architecture and best practices

About the Company

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Foresight