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Added 6 mins ago
VP
System Integration Project Manager
Vista Projects
Calgary, AB
- Full-time
The System Integration Project Manager leads the delivery of SI projects at the intersection of engineering data, application development and emerging AI tooling. This role coordinates the…
Added 6 mins ago
AC
Senior Project Manager - Civil
Accenture Construct
Toronto, ON
- Full-time
At Accenture Construct, that's the job. You'll help deliver the data centers, power grids, rail networks, factories and public infrastructure that keep communities moving - smarter, safer…
Added 6 mins ago
B
Senior Machine Learning Engineer
BuzzClan
Toronto, ON
- Contract
Job Title: Machine Learning Engineer – Senior
Added 6 mins ago
IA
Sr. AI Data Platform Engineer (FinOps Reporting)
IT Accel, Inc.
Toronto, ON
- Full-time
Our client is seeking a data professional with strong experience in data engineering, analytics engineering, BI engineering, financial data analytics, or a related data-focused role. The…
Added 6 mins ago
CT
Lead QA Engineer
Cosmo Technologies
Toronto, ON
- $95,000 to $130,000 CAD / year
- Full-time
Role Summary: We are seeking a highly skilled and forward-thinking Lead QA Engineer to guide our global QA efforts while introducing and embedding AI-based tools and intelligent automation…
Added 6 mins ago
BO
IT & Systems Manager (AI-First)
Bells of Steel
Calgary, AB
- Full-time
You'll lead our small technical team: our AI and internal tools developer, a contract AI engineer, and the app developers we're hiring now. You'll set the rules for how we build and review…
Added 7 mins ago
AT
Surgical AI Scientist
Adoc Talent Management
Remote, Canada
- Full-time
- Remote
To accelerate the growth of their company, they are looking for an AI Scientist/Engineer who will play a key role in developing, training, and deploying deep learning models that operate…
Added 7 mins ago
C
Lead QA Engineer
COSMO
Remote, Canada
- $95,000 to $130,000 CAD / year
- Full-time
- Remote
Role Summary: We are seeking a highly skilled and forward-thinking Lead QA Engineer to guide our global QA efforts while introducing and embedding AI-based tools and intelligent automation…
Added 22 mins ago
AC
Senior Presales Solutions Architect, AWS
Adastra Corporation
Markham, ON
- Full-time
AWS certifications such as Solutions Architect – Professional, Data Engineer – Associate.
Added 36 mins ago
P
Senior Data Warehouse Developer
Pinnacle
Toronto, ON
- Full-time
As a senior data engineer, you will design, implement, and optimize the full-stack data infrastructure - from Snowflake clusters setup to data ingestion, transformation and report…
Added 36 mins ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.
Added 36 mins ago
EN
Program Manager
Extreme Networks
Toronto, ON
- Full-time
Added 36 mins ago
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AI/ML Engineer
TEEMA
Vancouver, BC
- Full-time
…will work on models that turn physiological and behavioral data into safe, structured outputs that power Mimik’s member…
Added 51 mins ago
VP
System Integration Project Manager
Vista Projects Limited
Calgary, AB
- Full-time
The System Integration Project Manager leads the delivery of SI projects at the intersection of engineering data, application development and emerging AI tooling. This role coordinates the…
Added 1 hour ago
W
Junior Process Engineer
Worley
Sarnia, ON
- Full-time
We are currently recruiting for a Junior Process Engineer. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Sarnia, Ontario.
Added 1 hour ago
ES
Senior AI Engineer
Epsilon Solutions Ltd.
Montreal, QC
- Full-time
Senior AI Engineer - Copilot / ChatGPT / Grok / Claude / Gemini
Added 1 hour ago
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Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to…
Added 1 hour ago
VH
Full Stack Software Engineer
Verismo Health
Markham, ON
- Full-time
…Ontario. We build and run healthcare software that handles patient data under PHIPA. We are a small team that works AI-first. Most of our code is produced with tools such as Claude Code,…
Added 1 hour ago
S
BIM Modeller - Electrical
SYSTRA
Toronto, ON
- $65,000 to $85,000 CAD / year
- Full-time
BIM Coordinator / BIM Manager / Electrical Lead Engineer
Added 1 hour ago
Manufacturing & Process Engineer - Senior PMO / Change & Transformation Lead
Capgemini
Montreal, QC
Added 1 hour ago
H
Electrical Engineer
HDR
Toronto, ON
- Full-time
…where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological…
Added 1 hour ago
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Electrical Engineer
HDR
Toronto, ON
- Full-time
…where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological…
Added 1 hour ago
CS
Instructor, AI and Machine Learning with Python (Ottawa)
Circuit Stream
Ottawa, ON
- $1,650 CAD / week
- Contract
We’re looking for a software engineer, data analyst, AI practitioner, educator, or Masters/PhD student who can make artificial intelligence, machine learning approachable for teenagers and…
Added 1 hour ago
IA
Sr. AI Data Platform Engineer (FinOps Reporting)
IT Accel, Inc.
Toronto, ON
- Full-time
Our client is seeking a data professional with strong experience in data engineering, analytics engineering, BI engineering, financial data analytics, or a related data-focused role. The…
Added 1 hour ago
H
Platform Engineer
Hays
Toronto, ON
- Contract
The customer is looking for a Senior, hands-on Azure Platform Engineer with strong platform expertise across Azure Databricks, Azure Data Factory, Terraform, GitHub Actions, networking,…

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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