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Added 5 days ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering,…
Added 5 days ago
FN
QA Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
We are hiring a QA Engineer, IT Applications & QA!
Added 5 days ago
PG
Quality Engineer – AI Chatbot Validation
Pacer Group
Toronto, ON
- $40 to $45 CAD / hour
- Contract
Job Title: Quality Engineer – AI Chatbot Validation
Added 5 days ago
A(
Machine Learning Resident - Client: Trufla (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
…tomorrow's insurance ecosystem. If you are an AI/ML researcher or engineer looking to apply your skills to address high-stake business problems with strict liability constraints, we want to…
Added 5 days ago
WT
Python & Database Engineer
Wissen Technology
Montreal, QC
- Full-time
We are seeking a Python & Database Engineer with 3–5 years of hands‑on experience in building scalable applications, optimizing databases, and developing automation solutions. The ideal…
Added 5 days ago
H
Data & ML Platform Engineer (Hybrid)
Homebase
Remote, Canada
- $110,000 to $160,000 CAD / year
- Full-time
- Remote
Added 5 days ago
R&D Engineering, Staff Engineer
Synopsys
Ottawa, ON
Proficiency in Python, Tcl, Shell, or similar scripting languages for building automation and workflow tools
Added 5 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 5 days ago
X
Photonics Test Engineer - Wafer Level
Xanadu
Toronto, ON
- Full-time
1+ years of experience coding APIs/Interfaces for instruments using SCPI, IVI, or other methods (preferably in python)
Added 5 days ago
D
Senior Wind Energy Analyst
DNV
Toronto, ON
- Full-time
Contribute technical expertise to pre-construction energy assessments, independent engineer assignments, and technical due diligence reviews.
Added 5 days ago
D
Senior Renewable Energy Analytics & Performance Lead
DNV
Toronto, ON
- Full-time
Contribute technical expertise to pre-construction energy assessments, independent engineer assignments, operational assessments, repowering studies, and technical due diligence reviews.
Added 5 days ago
AI
AI CyberSecurity Specialist
Agility IT
Toronto, ON
- Contract
Cybersecurity Research Engineer – AI Security & Agentic AI
Added 5 days ago
A
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 5 days ago
CC
Post-Silicon Validation Engineer (Multiple Levels)
Celero Communications
Ottawa, ON
- Full-time
Contribute to scalable Python-based automation frameworks for test execution, regression, silicon characterization, data analysis, and reporting
Added 5 days ago
C
Software Engineer
Cleer
Ottawa, ON
- Full-time
Python or TypeScript. You’re strong in at least one and comfortable working across the full stack.
Added 5 days ago
Principal AI Architect
Robots and Pencils
Canada
…cloud, data, and AI. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice…
Added 5 days ago
A
AI LLM Senior Analyst
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Minimum of 2 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
Added 5 days ago
XI
Analytics Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
As an Analytics Engineer for Network Intelligence on Data & AI team, you will bridge the gap between Xplore's raw network and operational data and the dashboards, KPIs, and self-serve…
Added 5 days ago
S
Cloud Support Engineer - Japanese Speaking
Snowflake
ON · Ontario, Canada
- $90,000 to $135,000 USD / year
- Full-time
As a Cloud Support Engineer, you manage customer cases and are accountable for accelerating their time-to-resolution, ensuring platform stability, and driving a world-class support…
Added 5 days ago
A
Applied AI Engineer
Astek
Montreal, QC
- Full-time
Proficiency in Python and experience building APIs, integrations, and enterprise applications.
Added 5 days ago
Cloud Security Engineer
Momentum Financial Services Group
Toronto, ON
We are seeking a Cloud Security Engineer with deep AWS expertise to secure our cloud infrastructure, applications, and workloads. This role is responsible for designing and implementing…
Added 5 days ago
Post-Silicon Validation Engineer (Multiple Levels)
Celero Communications, Inc.
Ottawa, ON
Contribute to scalable Python-based automation frameworks for test execution, regression, silicon characterization, data analysis, and reporting
Added 5 days ago
Principal Analog Design Engineer-19318
Synopsys
Markham, ON
…parasitic you anticipated six months earlier. You are the kind of engineer who reads JEDEC standards not to check a box but to find the constraints that matter, then architects around…
Added 5 days ago
MH
Forward Deployed AI Engineer
MaxPeople HR
Mississauga, ON
- Full-time
We are looking to hire a Forward Deployed AI Engineer with a focus on leading technical pre-sales, scoping commercially viable engagements, and building production applications and…
Added 5 days ago
E
Software Engineer, Growth Platforms
EngRadar
Toronto, ON
- Full-time
As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our…

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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