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Added 10 mins ago
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FinTech Data Engineer: Claude AI Workflow for Form ADV & FINTRX Analytics
The Essence Group
Canada
- Contract
We are seeking an expert Senior FinTech Data Engineer / AI Developer based in Canada or the United States to architect and build a repeatable, highly resilient wealth-management research…
Added 25 mins ago
SL
Senior Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Waterloo King
- Full-time
We are currently looking for a Senior Data Engineer - with a passion for turning disparate streams of data into organized and actionable analytics services and insights. As a Data Engineer…
Added 25 mins ago
MN
Junior Cloud QA Specialist (SDET) - 13-month term contract (maternity leave)
March Networks
Ottawa, ON
- Contract
…looking for a Junior Test Specialist (SDET) with cloud and analytics experience to help us deliver with impeccable quality. We are looking for a person who is passionate about quality, test…
Added 40 mins ago
M
Senior Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Senior Full Stack Engineer, you will help shape solutions, advance strategic initiatives, strengthen our technology footprint and champion strong engineering practices within your team.
Added 40 mins ago
Technical Advisor, Application Development
National Research Council Canada
Ottawa, ON
…technical advice within an enterprise Data Warehouse, Data Analytics, and Business Intelligence environment using the Microsoft technology…
Added 40 mins ago
C
AI/ML Engineer
Conviva
Toronto, ON
- Full-time
Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital…
Added 55 mins ago
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Senior Platform Engineer
Flinks
Remote, Canada
- Full-time
- Remote
Added 55 mins ago
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Technical Support Engineer
Sidetrade
Remote, Canada
- Full-time
- Remote
…At Sidetrade, we're looking for a driven Technical Support Engineer to join our global Support team. You'll work with enterprise customers across North America and Europe, troubleshoot…
Added 55 mins ago
VT
AI Engineer - Agentic AI, Commercial Banking
Vision Talent Co.
Toronto, ON
- Contract
Role: AI Engineer – Agentic AI, Commercial Banking
Added 55 mins ago
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PySpark Data Engineer
Hays
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
As a Python / PySpark Data Engineer, you will develop and enhance scalable data-processing capabilities used for critical client and regulatory reporting. Your focus will be on building…
Added 1 hour ago
S
Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 hour ago
HS
Data Warehouse System Engineer
Hyve Solutions
ON · Ontario, Canada
- Full-time
We are seeking an experienced Data Warehouse SE (Data Platform Engineer) to lead the evolution of our enterprise data platform from a traditional Hadoop/Hive architecture to a modern…
Added 1 hour ago
AI Engineer, Platform and Runtime
HS Financial Technologies
Halifax, NS
As a Senior AI Platform and Runtime Engineer, you will build and operate HS Financial Technologies' shared AWS platform for AI applications and agents. AWS is the primary platform, while…
Added 1 hour ago
WT
Python Backend Engineer
Wissen Technology
Montreal, QC
- Full-time
…Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation, Multi-Cloud &…
Added 1 hour ago
EC
Cloud Data Engineer
Experis Canada
Halifax, NS
- Contract
Added 2 hours ago
Consultant en Déploiement - Apprentissage automatique | Delivery Consultant - Machine Learning, ProServe Shared Delivery Team - Data & AI
Amazon
Calgary, AB · Vancouver, BC · Toronto, ON · Montreal, QC
…recherche un(e) ingénieur(e) en apprentissage automatique (ML Engineer) talentueux(se) pour rejoindre notre équipe en tant que Consultant(e) Delivery chez Amazon Web Services (AWS). Dans ce…
Added 2 hours ago
ET
Artificial Intelligence / Data Engineer Intern
Enabled Talent
Sudbury, ON · Greater Sudbury, ON
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We are looking for an AI / Data Engineer Intern to help build the data and AI systems behind our platform. Working with our engineering and product team, you will gain practical experience…
Added 2 hours ago
JG
Full Stack Engineer – Self-Service & Agentic Data Platform
J&M Group
Toronto, ON
- Contract
Added 2 hours ago
BH
Senior Resource Planner - Full-Time Temporary
BC Hydro
Vancouver, BC
- $109,700 to $138,700 CAD / year
- Full-time
Professional Engineer (P.Eng.) designation in British Columbia, or eligibility for registration, is an asset.
Added 2 hours ago
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Functional Testing Quality Assurance Analyst
Swoon
Toronto, ON
- Contract
QE Lead / Senior QA Automation Engineer – Python Automation
Added 2 hours ago
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Azure Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 2 hours ago
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Software Engineer, AI - 12 month Contract
Pelmorex
Oakville, ON
- Contract
Added 2 hours ago
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Software Engineer, AI - 12 month Contract
Pelmorex
Oakville, ON
- Full-time
- Contract
Added 2 hours ago
WM
Senior Software Engineer
Wellington Management
Toronto, ON
- Full-time
The Enterprise Data Experience team is seeking a Senior Software Engineer to design, build, and enhance
Added 2 hours ago
CT
Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
We're Hiring | Senior Data Engineer / Data Architect

Ipsos in Canada

Senior Data 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 2, 2026
Experience: 5+ years of professional experience as a data engineer
Posting language: English
Posted: Nov 2, 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 to understand project needs, support code migration 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, advanced SQL, and hands-on GCP experience; a master's degree or higher is preferred. Candidates should have production-scale pipeline experience, familiarity with AI/LLM tools, version control and collaboration tools, and strong communication, teamwork, and problem-solving 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

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
AWS
Cloud-Based Platforms
Serverless Data Pipelines
Large-Scale Datasets
Data Ingestion
Distributed Storage
Distributed Computing
AI Tools
Large Language Models
Git
Atlassian Suite
Production Environments
Data Migration
Infrastructure Optimization
Troubleshooting
Cost Optimization
Market Research
Stakeholder Collaboration

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