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AI/ML Architect – Principal
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Architect and deliver enterprise-scale AI/ML solutions including data pipelines, feature engineering, model development, deployment, monitoring, and lifecycle management.
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Analytics Engineer
Tantalus
Burnaby, BC
- Full-time
Partner with Product, Engineering, Analytics, and NOC teams to identify data requirements and deliver practical, scalable reporting solutions.
Added 3 days ago
Supply Chain Analyst - Data & Analytics
Freedom Mobile
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…
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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
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
…time. Your day to day centers on writing clean, low-latency Python services with FastAPI, configuring cloud infrastructure on AWS, and building the pipelines and caching layers that keep…
Added 3 days ago
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Senior Data Science Developer
Russell Tobin
Toronto, ON
- $60 to $70 CAD / hour
- Contract
Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent experience.
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Data Science Developer
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Senior Data Science Developer to join Metrolinx’s Enterprise AI & Data Centre of Excellence and build enterprise-grade AI solutions, Generative AI applications, and…
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Specialist Engineer
AtkinsRéalis
Pickering, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
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Intern Bachelors Systems Eng
Honeywell Aerospace
Mississauga, ON
- Full-time
As an Intern Bachelors Systems Eng here at Honeywell Aerospace, you will gain hands-on experience in systems engineering, working on real-world projects that drive innovation and…
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Software Engineer in Algorithms & Optimization
RideCo
Waterloo, ON
- Full-time
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Contract Data Engineer
SapienX Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
…go into production. You'll be working with real enterprise data pipelines and production workloads, solving problems, improving reliability, and helping an experienced data engineering team…
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Back End Developer
VySystems
Toronto, ON
- Full-time
Partner with engineering, product, operations, and compliance teams to translate business needs into clear, actionable technical requirements and specifications.
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Senior Electrical Systems Modeling & Controls Engineer
Litens Automotive Group
Concord, ON
- Full-time
…highly respected company specializing in powertrain system engineering and component supply. Our history includes numerous achievements, many of which have been recognized through…
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Test Engineer
Morson Edge (Canada)
Dartmouth, NS
- $65,000 to $90,000 CAD / year
- Full-time
Dig into test data and production yields to find failure trends and root causes
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Data Analytics Lead
Altis
Markham, ON
- $110,000 to $125,000 CAD / year
- Full-time
This role is ideal for an experienced data engineering professional who enjoys solving complex data challenges, working with large datasets, and building modern data solutions using SQL and…
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Intermediate Infrastructure Software Developer
Scrawlr
Vancouver, BC
- Full-time
We are seeking an Intermediate Infrastructure Software Developer to contribute to the development, maintenance, and optimization of our infrastructure. This position is a unique opportunity…
Added 3 days ago
Senior Data Engineer
ZoomInfo Technologies LLC
Toronto, ON
Build and own end-to-end pipelines in Python and Airflow that ingest Salesforce, marketing, ad platform, conversation intelligence, product usage, billing, and ZoomInfo data into Snowflake.
Added 3 days ago
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Senior Data Scientist
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
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…
Added 3 days ago
II
Senior Software Engineer
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
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…
Added 3 days ago
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Director
Office of the Superintendent of Financial Institutions Canada
Toronto, ON
- Full-time
A degree from a recognized post-secondary institution with a specialization in Computer Science, Data Science, Engineering, Statistics, Mathematics, Finance, Economics, Actuarial Science or…
Added 3 days ago
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Data Engineer
Wiraa
Canada
- Full-time
We are seeking a full-time Data Engineer to join our IT team in Langley, BC. Reporting to the Team Lead, Data & Analytics, this role offers the opportunity to work with one of the largest…
Added 3 days ago
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(Senior) Vice President (m/f/d), Index Management – Equity Rebalance | Toronto
Solactive
Toronto, ON
- Full-time
…maintenance, and a curiosity for trends in investing. If you thrive on data-driven analysis, client collaboration, while bringing energy and interest to shape the future of the team, you…
Added 3 days ago
MA
Software Engineer
Milya AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
Added 3 days ago
S
(Senior) Vice President (m/f/d), Index Management – Equity Rebalance | Toronto
Solactive
Toronto, ON
- Full-time
…maintenance, and a curiosity for trends in investing. If you thrive on data-driven analysis, client collaboration, while bringing energy and interest to shape the future of the team, you…
Added 3 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.

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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