Senior Data Engineer

Ipsos North America

. Design, code, and test cloud-based data pipelines for processing and storing large-scale datasets .

Posted 9/22/2026full-timeCanadaSenior💰 CA$100,000 - CA$110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud-based data pipelines, with proficiency in Python and SQL for processing large-scale datasets. Strong ability to collaborate with stakeholders and optimize data engineering workflows using GCP services.

Highest-signal resume keywords

Data Pipeline DesignPython ProficiencySQL ExpertiseGCP Services ExperienceAI/LLM Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringCloud-Based Data ProcessingData Warehouse DevelopmentLarge Dataset ManipulationDistributed Storage and Computing

Soft Skills

Technical CommunicationAttention to DetailTime ManagementCollaboration

Tools & Technologies

Atlassian SuiteGitBigQueryGoogle Cloud Storage

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree Preferred

Industry Keywords

Data Engineering WorkflowsProduction EnvironmentsCloud Platforms

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design, code, and test cloud-based data pipelines for processing and storing large-scale datasets
Develop and maintain cost-optimized data warehouses for large, complex datasets
Ingest and assemble data from disparate sources using tools including Python and SQL
Collaborate with internal and external stakeholders to understand needs and project goals
Drive migration of development code into production
Provide technical assistance and guidance to refine and optimize processes
Troubleshoot and improve existing infrastructure and codebases

Requirements

What you’ll need

5+ years of professional experience as a data engineer
Bachelor's degree in computer science or a related field required
Master's degree or higher preferred
Proficiency in Python
Advanced working knowledge of SQL
Experience incorporating AI/LLM-based tools into data engineering workflows
Ability to critically evaluate AI outputs and apply engineering judgment to accept, adapt, or reject suggestions
Strong technical communication skills
Experience with Atlassian suite and version control systems such as Git
Strong hands-on experience with GCP services such as BigQuery and GCS
Familiarity with other cloud platforms is an asset
Comfortable working in a highly collaborative, consensus-oriented environment
Prior success designing and deploying data pipelines in large-scale production environments
Strong attention to detail
Ability to communicate scientific concepts in writing and verbally
Excellent time-management skills
Experience manipulating large datasets
Experience with distributed storage and computing

Benefits

Comp & perks

Career development opportunities
Generous paid time off (PTO)
Healthcare plans
Wellness benefits
Flexible workplace policy
Strong collaborative culture
Equal opportunity and inclusive workplace