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Added 4 days ago
A
Senior Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
The Test Engineer supports new product introduction and manufacturing test for fiber optic lab test equipment within an Ottawa-based fiber optic lab and production test business unit. This…
Added 4 days ago
II
Senior Data Engineer
Ipsos in Canada
Vancouver, BC
- Full-time
Ingest and assemble data from various disparate sources using a variety of tools, including Python and SQL.
Added 4 days ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 4 days ago
PT
Senior Data Engineer – Capital Markets
Precision Technologies
Mississauga, ON
- Contract
We are looking for an experienced Senior Data Engineer with strong Capital Markets, SQL, Data Warehousing, and Snowflake expertise to join our technology team in Mississauga.
Added 4 days ago
AI
GCP Senior Data Engineer
Aptino, Inc.
Canada
- Contract
Valid/relevant GCP certification, such as Professional Data Engineer.
Added 4 days ago
RT
Senior Software Engineer
Russell Tobin
Toronto, ON
- $75 to $95 CAD / hour
- Contract
Microsoft Visual Studio (.NET) MVC, SQL Server (database creation and management) in Azure
Added 4 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from…
Added 4 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization…
Added 4 days ago
Software Developer Sr (AI Platform & Applications)
Dayforce
Canada
We are looking for a Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced software engineer who…
Added 4 days ago
Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning…
Added 4 days ago
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Machine Learning Engineer
EvenUp
Toronto, ON
- $130,000 to $205,000 USD / year
- Full-time
We're looking for a Machine Learning Engineer to join our ML team at EvenUp. You'll develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a focus on…
Added 4 days ago
PF
Senior Data Engineer - Data Governance & DataOps
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
We have an exciting opportunity for a full-time Senior Data Engineer – Data Governance & DataOps to join our IT team in Langley, BC.
Added 4 days ago
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Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
- Full-time
We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning…
Added 4 days ago
Senior Data Engineer
Ipsos
Vancouver, BC
Ingest and assemble data from various disparate sources using a variety of tools, including Python and SQL.
Added 4 days ago
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Java Full Stack Engineer ( AI Engineering)
Astek
Montreal, QC
- Full-time
Experience with Python, SQL or NoSQL databases, data integration, caching, and data-intensive applications.
Added 4 days ago
A
AI LLM Senior Analyst
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Experience with the following programming languages: Python, C++, Java, R, SQL
Added 4 days ago
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Senior Engineer (Python/AWS + Azure/React)
Caddie
Toronto, ON
- Full-time
The engine: containerised Python workers (FastAPI, NumPy, SciPy) that make the same decision on every machine
Added 4 days ago
MC
Senior Software Engineer
MatchBox Consulting Group
Vancouver, BC
- $133,000 to $168,000 CAD / year
- Full-time
MatchBox Consulting Group is currently seeking a Senior Software Engineer for permanent role with a client of ours located in Vancouver.
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Senior Full-Stack AI Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Senior AI Engineer, you will be responsible for Full-Stack Software Development i.e. building modern, cloud-based, and AI-enabled applications that help Manulife make decisions easier…
Added 4 days ago
AS
Senior Data Engineer
Ardent SoftSol Inc.
Toronto, ON
- Contract
Senior Data Engineer - Databricks, Microsoft Fabric:
Added 4 days ago
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Senior Machine Learning Engineer
Hays
Toronto, ON · Greater Toronto Area, Canada
- Contract
As a Senior Machine Learning Engineer, you will take hands-on ownership of developing and improving machine learning and deep learning models that power personalised customer experiences.
Added 4 days ago
OP
Senior Data Engineer
Ontario Power Generation
Oshawa, ON
- Full-time
Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of Senior Data Engineer.
Added 5 days ago
IG
Python Engineer
Insight Global
Toronto, ON
- $75 to $92 CAD / hour
- Contract
Our client is seeking two Senior Python Developers to support a strategic initiative focused on modernizing and migrating existing SAS-based analytics processes into Python. This individual…
Added 5 days ago
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Senior AI Engineer for Observability
BMO
Toronto, ON · BMOPLACE
- Full-time
Experience using Python for custom evaluations and SQL or LogQL/PromQL for querying telemetry, logs, and metrics data.
Added 5 days ago
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Software Engineer
XTronica
Burnaby, BC
- Full-time
Assist in coding, maintaining, and optimizing core modules of the software under the guidance of senior engineers.

Ipsos

Senior Data Engineer

Vancouver, BC, Canada

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Job details

Apply by: Oct 30, 2026
Experience: 5+ years of professional experience as a data engineer
Posting language: English
Posted: Oct 21, 2026

Original 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

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-efficient data warehouses for large, complex datasets, using tools such as Python and SQL. 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 knowledge; a master's degree or higher is preferred. Candidates should have hands-on GCP experience, production-scale pipeline experience, familiarity with AI/LLM tools, version control and collaboration tools, and strong communication, problem-solving, and organizational skills.

Skills

Python
Advanced SQL
Google Cloud Platform
BigQuery
Google Cloud Storage
AWS
Data Pipeline Engineering
Data Warehousing
Large-Scale Data Processing
Distributed Storage and Computing
AI and LLM Tools
Git
Atlassian Suite
Cloud Computing
Troubleshooting
Technical Communication

Benefits

Paid Time Off
Healthcare Plans
Wellness Benefits
Career Development

Visa sponsorship

Not detected in the job text

Keywords

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

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