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Added 5 mins ago
Field Safety Advisor
Conifer Energy, Inc.
AB
…inspections, audits, training and corrective actions using internal cloud-based management…
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I.T.C. Infrastructure Technologist
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…municipal systems and emergency services, facilitating secure data exchange with external agencies when…
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Software Engineer IV, Viper Engineering
ACV
Toronto, ON
…Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions…
Added 5 mins ago
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Director, Product Management, Global Asset Management
CIBC
Toronto, ON
- Full-time
…releases. You'll also help modernize the platform by advancing cloud, data, and engineering capabilities while embedding strong governance, controls, and model-risk discipline into the…
Added 5 mins ago
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IT Audit Manager
BMO
Toronto, ON · FCP
- Full-time
Utilizes data analytics in advisory engagements to improve quality and efficiencies.
Added 6 mins ago
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AI Engineer - Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…challenges, innovative minds, and emerging technologies. Slalom's Data AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of…
Added 6 mins ago
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AI/ML Architect – Principal
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Proficiency in cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI) and big data ecosystems (Spark, Databricks, Kafka, Snowflake).
Added 21 mins ago
SC
Receivables and Revenue Coordinator
Strathcona County
Sherwood Park, AB
- Full-time
Experience with Oracle Cloud (accounts receivable and employee expense modules) is considered and asset
Added 36 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…
Added 36 mins ago
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Applied AI Engineer Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
…clean, low-latency Python services with FastAPI, configuring cloud infrastructure on AWS, and building the pipelines and caching layers that keep response times fast under strict SLAs. You…
Added 36 mins ago
Senior Manager, Data Strategy and Operations
Scotiabank
Toronto, ON
Working knowledge of modern data ecosystems, cloud platforms, and BI tools (e.g., Databricks, Azure, Google Cloud Platform, BigQuery, and Power BI).
Added 36 mins ago
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Staff Product Engineer
Parallelz
Remote, Canada
- Full-time
- Remote
Strong full-stack judgment across modern web clients, backend services, APIs, data and cloud infrastructure, with the depth to diagnose difficult production issues and review code with care.
Added 36 mins ago
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MEP Modeller (Mechanical)
SYSTRA
Toronto, ON
- Full-time
Produce drawings and schedules and keep model data consistent with approved changes.
Added 36 mins ago
RT
Senior Data Science Developer
Russell Tobin
Toronto, ON
- $60 to $70 CAD / hour
- Contract
Experience working with modern cloud-based data and analytics environments.
Added 36 mins ago
TC
Salesforce QA
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Validate Salesforce Marketing Cloud (SFMC) campaigns, journeys, automations, data extensions, audience segmentation, and email communications.
Added 36 mins ago
SI
Salesforce Data Cloud Consultant
Smart IT Frame LLC
Toronto, ON
- Contract
Architect scalable secure and highperformance Salesforce solutions using Data Cloud CRM Analytics and Snowflake integrations
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Data Science Developer
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
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Added 36 mins ago
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ERP Risk, Controls & Security Solutions Manager
PwC Canada
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Experience in one or more of the following areas would be preferred, especially aligned in context of cloud-based / large-scale ERP systems - external and internal IT audits and reviews,…
Added 36 mins ago
BI
PeopleSoft HCM Technical Delivery Lead
BURGEON IT SERVICES
Mississauga, ON
- Contract
· Experience integrating and supporting Workday HCM environments, including data migration, inbound/outbound interfaces, Workday web services, and hybrid PeopleSoft-Workday landscapes.
Added 36 mins ago
P
Staff Product Engineer
Parallelz
Toronto, ON
- Full-time
Strong full-stack judgment across modern web clients, backend services, APIs, data and cloud infrastructure, with the depth to diagnose difficult production issues and review code with care
Added 36 mins ago
BT
Cloud Security Controls Engineer
BULL TECHNICAL SERVICES LIMITED
Montreal, QC
- Full-time
The mission of Cyber Data Risk & Resilience (CDRR) is to deliver first-line defences to manage risks to Firm technology, information and cyber threats through risk identification, control…
Added 1 hour ago
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Software Engineer in Algorithms & Optimization
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Waterloo, ON
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Added 1 hour ago
ST
Oracle Cloud PPM Functional - Senior Consultant
Silverlink Technologies
Canada
- Contract
Good Knowledge about oracle cloud strategy on handling Data Conversion/Migrations, Inbound/Outbound interfaces and Reports with 3party applications.
Added 1 hour ago
I
Lead Consultant - Oracle Fusion HCM Cloud - Payroll
Infosys
Mississauga, ON
- $96,620 to $109,129 CAD / year
- Full-time
…also need to lead client engagements, discussing integrations, data migrations, and reporting across relevant modules. A key part of candidate’s role is translating complex solutions into…
Added 1 hour ago
SI
Contract Data Engineer
SapienX Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Our architecture is moving toward a governed medallion model spanning SAP Business Data Cloud/Datasphere, Azure Databricks and ADLS, Microsoft Fabric/OneLake, Unity Catalog, and Power BI,…

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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