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Added 4 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 7 hours ago
Data Engineer
DarkVision
North Vancouver, BC
Full-time
Experience with a cloud infrastructure platform (preferably AWS).
Added 10 hours ago
Senior Data Engineer
Confluence Technologies
Toronto, ON
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 12 hours ago
Software Engineer I Co-op (Data Foundations)
Planview Incorporated
Vancouver, BC
Temporary
In this role, you will be challenged with cutting-edge data platform technologies and GenAI-powered development workflows that will give you valuable skills for your career as a Software…
Added 12 hours ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Exposure to agentic platforms or cloud AI services such as Vertex AI, Azure AI services, AWS AI services, or comparable platforms; specific platform experience is less important than…
Added 12 hours ago
Senior C# .Net Senior Software Engineer REQ_7
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More senior candidates will have demonstrated the ability to design complex data models and REST APIs, evaluate and compare solution options, and have technical leadership skills.
Added 13 hours ago
Lead Java Developer
INFOYA
Toronto, ON
$110,000 to $115,000 CAD / year
Full-time
Developer, Technical Lead, or senior engineer with ownership of design
Added 13 hours ago
Senior DevSecOps Engineer
Wissen Technology
Calgary, AB
Full-time
Expertise in AWS IAM - IAM roles, policies, permission boundaries, IAM Identity Centre (SSO), federated identity, and least-privilege access controls across accounts
Added 13 hours ago
Staff Software Engineer
Amplitude
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Amplitude is the leading AI analytics platform, helping over 4,700 customers - including Atlassian, Burger King, NBCUniversal, and Square - build better products and digital experiences.…
Added 14 hours ago
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 14 hours ago
Senior Platform Engineer I
Wrapbook
Remote, Canada
$156,500 to $215,000 CAD / year
Full-time · Remote
Wrapbook is looking for a Senior Platform Engineer I who will play a hands-on role in driving our mission to build an outstanding technology company. You will be working as part of a…
Added 15 hours ago
Senior Software Engineer, Device & Cloud Platform
Motorola Solutions
Vancouver, BC
Full-time
We're looking for a Senior Software Engineer to join the team that builds and operates the systems connecting our access control hardware to the cloud and to the mobile app. This team owns…
Added 15 hours ago
Senior Software Engineer - Credit Commercial Engineering
Marqeta
Remote, Canada
Full-time · Remote
Marqeta is seeking a skilled Senior Software Engineer to contribute to the design and delivery of software solutions on our Credit Commercial Engineering Team. In this role, you will take…
Added 15 hours ago
Software Development Manager, AIO Visualization and Reporting
Amazon
Vancouver, BC
…everywhere they are reported. The other is the internal billing platform and the authorization service in front of it, which decides who is allowed to see which customer's data, millions of…
Added 15 hours ago
Senior Data Engineer
Precision AI
Calgary, AB
Full-time
You will build the platform that fixes this. You own how field data gets from the aircraft into a governed, queryable, reproducible asset that our ML engineers can pull training sets from…
Added 15 hours ago
Integrator engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
…with a global team of experts on modernizing the Firm’s SDLC platform to enable deployment automation to private and public cloud endpoints and SaaS-based tooling. This role affords the…
Added 15 hours ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
Full-time
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 15 hours ago
Senior Site Reliability Developer
Vena Solutions
Remote, Canada
Full-time · Remote
Vena is looking for a Senior SRE to join our SaaS Technology and Operations (STO) team. This role is a match for you if you love building highly scalable, resilient and automated services.…
Added 16 hours ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 16 hours ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
Full-time
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 16 hours ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Expert-level Senior Integration Developer with Intelligent Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and…
Added 16 hours ago
Senior Software Development Engineer, AWS Field Experiences AFX
Amazon Web Services (AWS)
Vancouver, BC
Full-time
The AWS Field Experience (AFX) team is looking for a passionate, innovative, results-oriented Senior Software Development Engineer to design and build the services that make it simpler for…
Added 18 hours ago
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
$285,000 to $325,000 USD / year
Full-time
…investment in its Toronto technology hub. We're looking for senior engineering leaders for two high-impact leadership opportunities spanning enterprise platform modernization and…
Added 19 hours ago
Senior Data Engineer
Ipsos
Canada
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 20 hours ago
Senior Data Engineer
Iris Software Inc.
Toronto, ON
Contract
Drive modernization initiatives involving migration of legacy Data Warehouse, Hadoop, Netezza, or traditional ETL platforms to cloud-based lakehouse architectures using technologies such as…

Ipsos

Senior Data Engineer

Canada

Apply by: Oct 19, 2026
Experience: 5+ years of professional experience as a data engineer
Posting language: English
Posted: Sep 22, 2026

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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, code, and test cloud-based data pipelines while developing and maintaining data warehouses for large-scale datasets. Collaborate with stakeholders to ingest data from disparate sources and drive the migration of code into production environments.

Requirements

Requires 5+ years of professional experience as a data engineer and a bachelor's degree in computer science or a related field. Candidates must possess proficiency in Python, advanced SQL knowledge, and hands-on experience with GCP services.

Skills

Data engineering
Python
SQL
Google Cloud Services
AWS
BigQuery
GCS
Data pipelines
Data warehousing
AI/LLM tools
Git
Atlassian suite
Distributed storage
Distributed computing
Problem solving
Technical communication

Benefits

Generous PTO
Healthcare plans
Wellness benefits
Career development
Flexible workplace policy

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Cloud Platforms
Google Cloud Services
AWS
BigQuery
GCS
Python
SQL
Data Pipelines
Data Warehousing
AI
LLM
Git
Atlassian
Distributed Storage
Distributed Computing
Market Research
DataHub
Serverless
Data Migration
Infrastructure
Codebase
Version Control
Data-driven
Analytics

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