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Added 13 mins ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 13 mins ago
Principal Product Designer
Momentum Financial Services Group
Toronto, ON
Partner closely with the design system engineer and product engineering teams to maintain alignment between Figma, design tokens, coded components, Storybook, and production behaviour.
Added 13 mins ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
Internal Audit is replacing manual, spreadsheet-based processes with secure, real-time digital tools. As a Senior AI Engineer, you'll build the applications auditors use to plan, run, and…
Added 13 mins ago
A
Quality Assurance Automation Engineer
Atos
MB · Manitoba, Canada
- Full-time
Added 13 mins ago
LA
Senior Analytics Engineer
Level Access
Canada
- Full-time
Level Access is hiring a Senior Analytics Engineer to own the data products that power trusted reporting, business decisions and AI experiences at Level. With an initial focus on GTM and…
Added 13 mins ago
C
Senior Playwright Automation Engineer
Centraprise
MB · Manitoba, Canada
- Contract
Job Description: Senior Playwright Automation Engineer
Added 13 mins ago
AI
Reliability Engineer
Avanciers Inc.
Carseland, AB
- $50 to $60 CAD / hour
- Contract
…role for one of our premier client in Canada for Reliability Engineer - Asset…
Added 43 mins ago
C
Senior Digital ASIC Verification Engineer
Ciena
Ottawa, ON
- $111,900 to $178,700 CAD / year
- Full-time
We are looking for an experienced Senior Digital ASIC Verification Engineer to join our top-level team. You will play a key role in verifying complex, highly integrated digital ASICs, with…
Added 43 mins ago
L
Electronics Engineer
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Lumentum is seeking a talented senior Electronics Engineer to develop leading edge electro-optic optical cross connect switch PCBAs. The successful candidate will be capable of priming…
Added 43 mins ago
J
Mechanical Technician
JLL
Burnaby, BC · CAN-CLIENT Burnaby-Metropolis at Metrotown
- Full-time
Valid BC or Inter-Provincial 4th Class Power Engineer's Certificate
Added 43 mins ago
S
Data & AI Solution Architect
SaskTel
SK · Saskatchewan, Canada
- Contract
Professional certification as a Professional Engineer (P.Eng.), Information Systems Professional (ISP) or equivalent designation is desirable.
Added 43 mins ago
S
AI Data Architect
SaskTel
SK · Saskatchewan, Canada
- Contract
Professional certification as a Professional Engineer (P.Eng.), Information Systems Professional (ISP) or equivalent designation is desirable.
Added 43 mins ago
EV
Engineer or Engineer-In-Training, Processing, Water Operations
Elk Valley Resources
Sparwood, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to the Senior Engineer, Process, the Engineer/EIT, Processing, Water Operations, is responsible for process data analysis and execution of continuous improvement initiatives at…
Added 43 mins ago
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Data Engineer
Hays
Montreal, QC
- Contract
We are seeking a Python / PySpark Data Engineer with 3–5 years of experience to develop and enhance a strategic Client Data Confidentiality and data-usage monitoring platform. The role will…
Added 43 mins ago
C
Automotive Validation Engineer
Collabera
Windsor, ON
- Contract
The Validation Engineer's responsibilities include performing verification and validation of automotive systems to meet federally regulated guidelines for software performance (OBD), safety…
Added 43 mins ago
A
Machine Learning Engineer
Altis
Toronto, ON
- $65 to $75 CAD / hour
- Contract
Are you a hands-on Machine Learning Engineer who enjoys turning innovative AI solutions into reliable, production-ready systems? This opportunity offers the chance to help a large…
Added 43 mins ago
HN
Device Platform Engineer - Vancouver, BC (Onsite) - FTE/perm
Harvey Nash
Vancouver, BC
- $120,000 to $140,000 CAD / year
- Full-time
Job Title: Software Development Engineer – Device Platform Engineer
Added 43 mins ago
SS
GPU & AI Optimization Engineer
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
SST is seeking a Machine Learning Software Engineer – GPU & AI Optimization to join our growing engineering team in Markham, Ontario.
Added 57 mins ago
Senior Software Engineer – Android contract
KEV Group
Toronto, ON
We are seeking a Senior Software Engineer to help build and evolve our Android-based Point-of-Sale (POS) platform. This role is approximately 70% Android development and 30% backend…
Added 58 mins ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms that enable enterprise teams to build, deploy, monitor, and govern…
Added 1 hour ago
SG
Power Electronics Design Engineer
Socomec Group
Brampton, ON
- Full-time
We are looking for a highly skilled Power Electronics Design Engineer with expertise in simulation, hardware design, and testing to join our team. The ideal candidate will possess extensive…
Added 1 hour ago
SG
Electrical Engineer
Socomec Group
Brampton, ON
- Full-time
This Electrical Engineer position will contribute to the system-level electrical design and development of high-power electrical systems (up to 2.5 MVA) for Uninterruptible Power Supply…
Added 1 hour ago
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Senior L3 AI Engineer
PeoplePilot
Montreal, QC
- $120,000 to $140,000 CAD / year
- Full-time
# Senior L3 AI Engineer – Enterprise AI Platforms
Added 1 hour ago
GL
Frontend Engineering Lead
Geomagical Labs
Remote, Canada
- Full-time
- Remote
…is a hands-on technical leadership role for an experienced engineer who enjoys solving complex engineering challenges, influencing architecture, mentoring teammates and delivering…
Added 1 hour ago
Software Integration Engineer - Associate
iCapital
Toronto, ON
iCapital is looking to hire a Software Integration Engineer - Associate to join the Annuities Platform Team. This role develops, tests and supports well-defined integration solutions that…

Ipsos in Canada

Senior Data Scientist

Vancouver, BC, Canada

$100,000 to $110,000 CAD / year · Full-time

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Job details

Pay: $100,000 to $110,000 CAD / year
Job type: Full-time
Apply by: Dec 4, 2026
Experience: 5+ years of professional experience as a data engineer
Posting language: English
Posted: Nov 4, 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-effective 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, and hands-on experience with GCP and production-scale data pipelines. Candidates should also have experience with AI/LLM tools in engineering workflows, version control and collaboration tools, distributed data systems, and strong communication, attention to detail, and time-management skills; a master's degree or higher is preferred.

Skills

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

Benefits

Generous Paid Time Off
Healthcare Plans
Wellness Benefits
Career Development
Flexible Workplace Policy

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Pipelines
Data Warehousing
Python
SQL
Google Cloud Platform
BigQuery
Google Cloud Storage
Amazon Web Services
Cloud Computing
Serverless Architecture
Large-Scale Datasets
Data Ingestion
Distributed Storage
Distributed Computing
AI Tools
Large Language Models
Git
Atlassian Suite
Production Deployment
Pipeline Optimization
Data Migration
Troubleshooting
Market Research
Stakeholder Collaboration

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