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Added 3 mins ago
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Senior Manager, Analytics and Insights
TD
Toronto, ON
- Full-time
Reporting directly to the Vice President, Resilience Management within Protect Platform, the Senior Manager, Analytics and Insights will provide value-added support to effectively and…
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TDS Operations Analyst II, Client Enablement
TD
Toronto, ON
- Full-time
…managing, analyzing, and updating client, credit, and settlement data across TD Securities trading and credit risk systems. We are a global team that embraces and leverages data in a…
Added 3 mins ago
RT
Senior AI Product Manager
Russell Tobin
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Degree in Business, Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent experience.
Added 3 mins ago
NR
Financial & Special Projects Consultant
Niagara Region
ON · Niagara, ON
- Full-time
Minimum 10-years of progressively senior level financial management experience, including budgeting, forecasting, modeling & analysis, project evaluation & management, and reporting.
Added 4 mins ago
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Senior Advisor, Data engineering
Desjardins
Levis, QC · Montreal, QC
- Full-time
As a senior data engineering advisor, you help develop solutions for collecting, integrating, consolidating, cleaning, sorting and transparently mining data. You help develop, maintain,…
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C
Senior QA Test Analyst, Assistant Vice President
Citi
Mississauga, ON
- Full-time
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Director, Product Management, Global Asset Management
CIBC
Toronto, ON
- Full-time
…support better decision-making across complex portfolios. As a Senior Product Manager, you'll lead the product development, management, and delivery of our in-house Enterprise Risk…
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IT Audit Manager
BMO
Toronto, ON · FCP
- Full-time
Utilizes data analytics in advisory engagements to improve quality and efficiencies.
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Director, Talent Management & Workforce Insights
BDO
Oakville, ON · Toronto, ON
- Full-time
…Talent Management, Total Rewards, HR Operations and People Analytics. The Director sets priorities across the portfolio, leads experienced specialist teams and helps these capabilities…
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Bilingual Senior Talent Acquisition Specialist
BDO
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
You are comfortable advising and influencing senior stakeholders and can use market intelligence, recruitment data and your own expertise to guide hiring decisions
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AI Engineer - Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Job Title: Senior Consultant – AI Engineer (Vacant Role)
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Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
Bevertec
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Job Role: Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
Added 4 mins ago
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Senior Supply Chain Analyst & Planning Lead
Cryopak
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Cryopak Industries is looking for a Senior Supply Chain Analyst & Planning Lead to support and optimize our manufacturing planning activities, including MRP, materials planning, inventory…
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Directeur(trice) de l’analytique marketing / Director of Marketing Analytics
Manmade
Montreal, QC
- Full-time
Il s’agit d’un poste de niveau senior avec une forte implication opérationnelle. Vous devrez explorer les données, créer des tableaux de bord, analyser la performance et résoudre vous-même…
Added 19 mins ago
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Analytics Engineer
Tantalus
Burnaby, BC
- Full-time
Tantalus is seeking an early-career Analytics Engineer to join our Customer Operations team, reporting to the Senior Director, Customer Experience.
Added 19 mins ago
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Principal MCP/AI Developer
Autodesk
Toronto, ON · ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
As the Principal MCP/AI Developer, you will define and drive the technical direction of that platform - its capability/tool model, agent-orchestration architecture, trust model, and the way…
Added 34 mins ago
VC
Co-Regional Medical Director, Quality and Safety
Vancouver Coastal Health
Vancouver, BC
- Full-time
…methodologies, accreditation and regulatory standards, use of data and analytics in advancing quality and safety, and patient safety principles within medical practice across the…
Added 34 mins ago
Supply Chain Analyst - Data & Analytics
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North Vancouver, BC
Reporting to the Senior Manager, Wireless Network Supply Chain Operations, the Supply Chain Analyst - Data & Analytics contributes to improving operational performance by developing…
Added 34 mins ago
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Data Science Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
Working alongside data scientists, ML engineers, and data engineers under the guidance of the Senior Manager of Data Science, you will build and ship the developer tools and observability…
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Applied AI Engineer Intern
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Toronto, ON · CAN - Toronto
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Working closely with a senior mentor, you will build and operate the production inference services that serve machine learning models across our partner ecosystem in real time. Your day to…
Added 34 mins ago
Senior Manager, Business Technology Analyst (FX Technology)
Scotiabank
Toronto, ON
The Senior Manager, Business Technology Analyst, FX Technology is responsible for driving strategic technology initiatives across the Foreign Exchange business. Acting as the critical…
Added 34 mins ago
Senior Manager, Data Strategy and Operations
Scotiabank
Toronto, ON
The Canadian Banking Analytics, Personalization & Innovation team is seeking a delivery-focused data leader to serve as Senior Manager, Data Strategy and Operations. Reporting to the…
Added 34 mins ago
Senior Product Strategy Manager
TELUS
Montreal, QC
…white-label and customized solutions shaped by public procurement. As Senior Product Strategy Manager, you will shape where our products go and why. You will own the market intelligence,…
Added 34 mins ago
RT
Senior Data Science Developer
Russell Tobin
Toronto, ON
- $60 to $70 CAD / hour
- Contract
The Senior Data Analytical Specialist/Scientist will develop advanced analytics, predictive models, and AI-driven insights to address priority business opportunities. The role will apply…
Added 34 mins ago
SI
Salesforce Data Cloud Consultant
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Toronto, ON
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Architect scalable secure and highperformance Salesforce solutions using Data Cloud CRM Analytics and Snowflake integrations

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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