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Added 13 mins ago
C
Senior Software Engineer - Canada
Canals
Remote, Canada
- Full-time
- Remote
Senior-level experience as a backend engineer building scalable, high-performance systems.
Added 33 mins ago
BF
Ingénieur de projet (407) / Project Engineer (407)
Bell Flight
Mirabel, QC
- Full-time
…conception to completion to support a specific Commercial Product Platform’s goals and…
Added 33 mins ago
I
Senior Platform Engineer D365 F&O
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $140,000 CAD / year
- Full-time
We are seeking a Senior Platform Engineer responsible for managing the technical delivery lifecycle of Dynamics 365 Finance & Operations (D365 F&O), including source control, branching…
Added 41 mins ago
TD
Senior Solutions Architect (Pre-Sales)
Teifi Digital
Vancouver, BC
- $110,000 to $130,000 CAD / year
The Senior Solutions Engineer will own the technical side of how Teifi wins work. When a manufacturer with 200,000 SKUs, a 15-year-old ERP and 80 stores asks whether Shopify can run their…
Added 59 mins ago
ZS
Senior L3 AI Engineer (JS-3)
Zodiac Solutions, Inc
Montreal, QC
- Full-time
Senior Level 3 AI Engineer - Copilot / ChatGPT / Grok / Claude / Gemini
Added 59 mins ago
WH
Senior Electrical Design Engineer
Waterstone Human capital
Toronto, ON
- Full-time
Exposure to motion control system design (servo drives, VFD motors) and PLC/HMI programming; Allen-Bradley platform experience is a plus
Added 59 mins ago
AC
Manager, Enterprise Data Platform & Governance
Air Canada Vacations
Montreal, QC
- Full-time
JOB TITLE: Manager, Enterprise Data Platform & Governance
Added 1 hour ago
SS
Dev Ops II, Public Cloud
Safe Software
Remote, Canada
- Full-time
- Remote
Safe Software is looking for a fun-loving, talented DevOps Engineer who is interested in becoming part of one of the fastest growing data integration companies in the world! As a DevOps…
Added 1 hour ago
HT
IT Product Engineer - HRIS
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
Huawei Canada has an immediate 12-month contract opening for an IT Product Engineer Assistant.
Added 1 hour ago
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Kubernetes Reliability Engineer
Roche
Mississauga, ON · Canada Pharma Campus
- Full-time
The CaaS IT Infrastructure Engineer is a highly skilled expert responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and…
Added 1 hour ago
W
SnapLogic Support Engineer
W3Global
Canada
- Full-time
We are seeking a SnapLogic Support Engineer to provide production support, monitoring, troubleshooting, and maintenance of enterprise integrations built on the SnapLogic platform. The role…
Added 1 hour ago
VS
Production Support Lead (AWS + Node.js/TypeScript focus & .NET, React/Sitecore, Azure required)Calgary, Canada(Onsite)
Verito Solutions Inc
Calgary, AB
- Contract
We are looking for a Senior Support engineer to take over the leadership of the Pubweb Support team.
Added 1 hour ago
H
Forward Deployed Solutions Engineer, New Graduate
Hiveway
Canada
- Full-time
Forward Deployed Solutions Engineer (Early Career)
Added 1 hour ago
C
Principal Architect
Camis
Guelph, ON
- Full-time
We are committed to building software that stands the test of time, and we're looking for a Principal Architect to define the technical direction of our Parks & Recreation platform.
Added 1 hour ago
T
Software Engineer II (Cloud Engineer)
TD
Toronto, ON · Mississauga, ON
- Full-time
Software Engineer II (Cloud Engineer) – Job Description
Added 1 hour ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
As a Software Engineer II, you provide technical expertise to implement scalable, reliable and secure solutions for EDMO Data Catalog services. You contribute to solutions that operate…
Added 1 hour ago
SI
Senior HPC Linux Engineer
Smart IT Frame LLC
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
🚨 Hiring: Senior HPC / Linux Platform Engineer | Vancouver, BC
Added 2 hours ago
GD
System Engineering - Platforms
General Dynamics Missions System International
Ottawa, ON
- Full-time
We are seeking a Platforms Systems Engineer to provide technical leadership for the development, integration, and validation of vehicle-level communications systems. The Platforms Team…
Added 2 hours ago
BR
Go-to-Market (GTM) Engineer
Brodie Rec League
Toronto, ON
- $110,000 to $150,000 CAD / year
- Full-time
Added 2 hours ago
GN
Senior Mobile Engineer
Ground News
Remote, Canada
- Full-time
- Remote
Ground News is a platform that makes it easy to compare news sources, read between the lines of media bias and break free from algorithms.
Added 2 hours ago
SI
Controls Design Engineer
Skyjack Inc.
Guelph, ON
- Full-time
Bachelor’s degree in electrical engineering or C.E.T. in Electrical discipline. Preference will be given to candidates registered as a Professional Engineer in Ontario.
Added 2 hours ago
SC
Drainage Design Engineer
SYSTRA Canada
Toronto, ON
- Full-time
Lead SWM and Drainage Engineer responsible for the design and modeling of SWM Systems, including stormwater sewers, sanitary sewers, water mains and overland flow.
Added 2 hours ago
PA
Senior QA Engineer
Plan A Technologies
Winnipeg, MB · Greater Winnipeg Metropolitan Area
- Full-time
Plan A Technologies is looking for an experienced Senior QA Engineer with strong expertise in end-to-end testing to ensure the quality, reliability, and performance of our applications. The…
Added 2 hours ago
Manager, Enterprise Data Platform & Governance
Vacances Air Canada Vacations / Air Canada Rouge
Montreal, QC
JOB TITLE: Manager, Enterprise Data Platform & Governance
Added 2 hours ago
Manager, Enterprise Data Platform & Governance
Vacances Air Canada Vacations / Air Canada Rouge
Montreal, QC
JOB TITLE: Manager, Enterprise Data Platform & Governance

Ipsos in Canada

Senior Data Engineer

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 28, 2026
Experience: 5+ years of professional experience as a data engineer
Posting language: English
Posted: Sep 28, 2026

Original job description

Job Description

Title: Senior Data Engineer

Location: Any Ipsos Canada Location

Who We Are

Ipsos is one of the world's largest research companies and the only one primarily managed by researchers. Ranked the #1 Most Innovative Market Research Supplier by Greenbook’s GRIT report for four consecutive years, we operate in 90 markets, offer more than 75 data-driven solutions, and serve over 5,000 clients worldwide. Our research, methodological, implementation, and subject matter experts help organizations solve complex business challenges through data-driven insights and evidence-based decision-making. We're proud to have been named one of Forbes' America's Best Employers for Company Culture in 2025, Forbes' America's Best Employers for Women in 2026 and recognized by Newsweek as one of the World’s Most Trustworthy Companies in 2026.

ABOUT The Ipsos DataHub

The Ipsos DataHub is a uniquely positioned group within Ipsos. It is a next-generation data platform designed to unlock the full value of data across the organization. By bringing together information, technology, and expertise in a seamless and secure ecosystem, it empowers teams to move faster, think bigger, and deliver deeper, more meaningful insights. DataHub is at the heart of Ipsos’ vision to transform how data drives decisions, innovation, and impact for clients worldwide.

We’re looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and optimize our existing data pipeline and architecture. The ideal candidate will have experience using cloud-based platforms, like Google Cloud Services and AWS, to build and maintain serverless data pipelines to efficiently process and warehouse large scale datasets. The role also requires conscientious attention to detail, an ability to work well on a small team, and a self-starter approach to problem solving and debugging.

What You Can Expect To Be Doing

Design, code, and test cloud-based data pipelines to process and store large-scale datasets.
Develop and maintain data warehouses to efficiently store large, complex datasets in a cost-optimal manner.
Ingest and assemble data from various disparate sources using a variety of tools, including Python and SQL.
Work with internal/external stakeholders to identify and understand needs and project goals.
Drive the migration of development code into production, providing technical assistance and guidance to refine and optimize processes.
Troubleshoot and improve existing infrastructure and codebases.

This might be the job for you if you have:

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, with demonstrated ability to critically evaluate AI outputs and apply sound engineering judgment to accept, adapt, or reject suggestions.
Strong technical communication skills
Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
Strong hands-on experience with GCP services (e.g. BigQuery, 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 eye for detail, ability to communicate scientific concepts both in written form and verbally, and excellent time-management skills.
Large dataset manipulation. Experience in distributed storage and computing.

In accordance with Ontario & British Columbia law, the estimated base salary range for this role is $100,000 - $110,000 CAD. Your final base salary will be determined based on several non-discrimatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications.

If you don’t meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you’re applying to!

What’s In It For You

At Ipsos you’ll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.

To find out more about all the great reasons to work at Ipsos, how we’re making an impact around the world, and more about our benefits and employee programs, please visit: Why Work at Ipsos | CA

Inclusive Workplace Commitment

Ipsos recognizes the necessity of building an inclusive culture that values each employee’s individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos’ diverse employees who compile and analyze this data - they are the essence of who we are and what we do.

We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual.

Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.

#IpsosCanada

About Us

Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!

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More about this job

Responsibilities

Design, build, test, and optimize cloud-based data pipelines and cost-efficient data warehouses for large, complex datasets, using Python, SQL, and cloud services. Collaborate with stakeholders, support the transition of development code into production, and troubleshoot and improve existing infrastructure and codebases.

Requirements

Requires at least five years of professional data engineering experience, a bachelor's degree in computer science or a related field, proficiency in Python, and advanced SQL knowledge; a master's degree or higher is preferred. Candidates should have hands-on GCP experience, production-scale pipeline experience, familiarity with AI/LLM tools, version control and collaboration tools, and strong communication, problem-solving, and organizational skills.

Skills

Python
Advanced SQL
Google Cloud Platform
BigQuery
Google Cloud Storage
AWS
Data Pipeline Engineering
Data Warehousing
Large-Scale Data Processing
Distributed Storage and Computing
AI and LLM Tools
Git
Atlassian Suite
Troubleshooting
Technical Communication
Stakeholder Collaboration

Benefits

Generous Paid Time Off
Healthcare Plans
Wellness Benefits
Career Development

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Google Cloud Platform
BigQuery
Google Cloud Storage
AWS
Cloud Computing
Serverless Data Pipelines
Data Pipelines
Data Warehousing
Large-Scale Datasets
Data Ingestion
Distributed Storage
Distributed Computing
AI Tools
Large Language Models
Git
Atlassian Suite
Production Environments
Infrastructure Optimization
Troubleshooting
Market Research
Stakeholder Collaboration
Cost Optimization

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