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Added 4 mins ago
IC
Senior Data Engineer
Infotek Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- $70 to $100 CAD / hour
- Contract
Senior Data Engineer (Azure, Databricks, PySpark) | Talent Community
Added 4 mins ago
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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)
Added 4 mins ago
ZL
Aerospace Quality Engineer
Zapnix LLC
Montreal, QC
- Full-time
Support the Program Lead in escalating blockers that require senior customer authority to resolve
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
…responsible and reliable AI, and multiplies the impact of every engineer on the…
Added 34 mins ago
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Applied AI Test Engineer - Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
Working under the direction of a Senior SDET on the Applied AI Engineering team, you will build and maintain automated test suites that safeguard production machine learning pipelines and…
Added 34 mins ago
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Applied AI Engineer Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
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 1 hour ago
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Facility Reliability & Integrity (FRI) Planner
TC Energy
Calgary, AB
- Full-time
…alternatives where applicable, communicate trade offs, and influence senior stakeholders without direct…
Added 1 hour ago
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Contract Data Engineer
SapienX Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
This opportunity is especially well suited to a mid-to-senior or senior Data Engineer who:
Added 1 hour ago
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Senior Business Development Advisor
Ovintiv
Calgary, AB
- Full-time
The Senior Business Development Advisor will be a key part of the Corporate Development team with primary responsibility for financial modeling of potential mergers, acquisitions/investment…
Added 1 hour ago
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Data Analytics Lead
Altis
Markham, ON
- $110,000 to $125,000 CAD / year
- Full-time
Our client, a well-established organization in the corporate sector, is seeking a Senior Data Engineer / Senior BI / Analytics Engineering Lead to design, build, and optimize scalable data…
Added 1 hour ago
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Senior Full Stack Java Engineer
Miratech
ON · Ontario, CANADA
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 1 hour ago
Senior Data Engineer
ZoomInfo Technologies LLC
Toronto, ON
The Senior Data Engineer is a core builder of the single source of truth that ZoomInfo's Corporate Strategy and GTM Strategy teams use to plan and track the business: pipeline created,…
Added 2 hours ago
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Senior Data Scientist
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
5+ years of professional experience as a data engineer
Added 2 hours ago
II
Senior Software Engineer
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
5+ years of professional experience as a data engineer
Added 3 hours ago
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Product Engineer, Mobile & UX
Pontosense
Toronto, ON
- Full-time
We're looking for a Product Engineer who loves building great software, cares about how people experience it, and is excited to push the boundaries of what's possible with AI. You'll work…
Added 3 hours ago
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Product Engineer, Mobile & UX
Pontosense
Toronto, ON
- Full-time
We're looking for a Product Engineer who loves building great software, cares about how people experience it, and is excited to push the boundaries of what's possible with AI. You'll work…
Added 6 hours ago
RB
Senior Platform Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 8 hours ago
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Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's…
Added 13 hours ago
GA
Solutions Engineer Intern
Geekplus America Inc
Markham, ON
- Internship
…eventually lead multiple projects or workstreams with guidance from senior team…
Added 14 hours ago
HI
Senior Data Engineer/ETL Developer
HRbrain Inc.
Toronto, ON
- Full-time
1st Senior Data Engineer, 10+ years Experience
Added 14 hours ago
HI
Sr. Data Engineer
HRbrain Inc.
Toronto, ON
- Full-time
We are looking for a Senior Data Engineer to joint their Data & Analytics team within Data & Technology team, reporting directly to the Director of Data & Analytics.
Added 14 hours ago
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Senior Java Engineer - Kafka & Distributed Systems
Hays
Toronto, ON
- Contract
We’re seeking an experienced Senior Java Engineer - Kafka & Distributed Systems with strong Core Java skills, proven expertise in data streaming (e.g., Apache Kafka, Apache Flink), and…
Added 14 hours ago
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Senior DevOps Engineer
iCOUNTER
Remote, Canada
- $136,000 to $170,000 CAD / year
- Full-time
- Remote
As a DevOps Engineer, you’ll be a hands-on owner of the infrastructure and delivery systems behind our platform. That means architecting scalable, secure cloud environments, primarily on…
Added 15 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…

Ipsos in Canada

Senior Software Engineer

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, develop, test, and maintain cloud-based data pipelines and cost-efficient data warehouses for large, complex datasets, using tools such as Python and SQL. Collaborate with stakeholders, move development code into production, and troubleshoot and optimize existing infrastructure and code.

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 Google Cloud services and production-scale data pipelines. Candidates should also have experience with AI/LLM tools in engineering workflows, distributed data systems, version control, and collaborative technical communication; a master's degree or higher is preferred.

Skills

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

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