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Added 8 days ago
AG
Application Developer III
Allegis Global Solutions
Toronto, ON
- $70 to $73 CAD / hour
- Contract
We are seeking a highly skilled and motivated senior application developer to join a dynamic Data & Digital team within an Engineering, Innovation & Architecture organization. This is a…
Added 8 days ago
RB
Senior Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency in programming languages (Python, R, SQL) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Added 8 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 8 days ago
FN
AI Quality and Evaluation Lead
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Strong analytical and technical skills with Python, SQL, test automation, data analysis, statistical methods, and evaluation tooling such as MLflow, Ragas, DeepEval, or comparable…
Added 8 days ago
PF
Senior Data Engineer - Data Governance & DataOps
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Strong SQL and Python; hands on experience with Spark (PySpark) and Databricks Jobs/Workflows.
Added 8 days ago
B
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 8 days ago
HV
Optical Supply Chain Analyst
Hoya Vision Care
Mississauga, ON
- Full-time
Working closely with the Senior Supply Chain Analyst and cross-functional business teams, this role combines operational supply chain knowledge with strong analytical and business analysis…
Added 8 days ago
PC
Digital Operation - Senior Associate
Pwc Canada
Toronto, ON
- Full-time
Tools may include Python, R, and SQL; optimization solvers; simulation libraries; and enterprise or cloud data platforms.
Added 8 days ago
R
Senior Data Scientist
RBC
Toronto, ON
- Full-time
Proficiency in programming languages (Python, R, SQL) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Added 8 days ago
T
Senior Treasury Analyst
TD
Toronto, ON
- Full-time
Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, SQL and R.
Added 8 days ago
M
Senior Business Intelligence Performance Analyst
Metrolinx
Toronto, ON
- Full-time
Advanced proficiency in business intelligence, data visualization, and analytics tools, including Power BI, Tableau, SQL, Python, R and Microsoft Office Suite.
Added 8 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 8 days ago
CT
Manager, Statistical Modelling & Advanced Analytics
Canadian Tire Corporation
Toronto, ON
- Full-time
Translate complex quantitative work into clear recommendations for senior leaders
Added 8 days ago
RA
Senior Full Stack Developer (.NET, Cloud & AI)
Recruit Action inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
3+ years of hands-on development experience using C#, .NET or .NET Core, Python, SQL, and Blazor or similar web application frameworks.
Added 9 days ago
PC
Digital Operations, Consulting - Senior Associate
PwC Canada
Toronto, ON
- Full-time
Tools may include Python, R, and SQL; optimization solvers; simulation libraries; and enterprise or cloud data platforms.
Added 9 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 9 days ago
R
Senior Data Scientist
RBC
Toronto, ON
- Full-time
Proficiency in programming languages (Python, R, SQL) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Added 9 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 9 days ago
C
QA Automation Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
…scalable, and maintainable test automation frameworks using Java, Python, and BDD tools like…
Added 9 days ago
HG
Model Risk Management with Financial Crime Compliance (FCC)
Hallmark Global Solutions Ltd
Toronto, ON
- Full-time
We are looking for a Risk model developer to join us in Toronto
Added 9 days ago
Systems Analyst II
City of Vancouver
Vancouver, BC
The Senior Solid Waste Data Systems Analyst is responsible for leading the design, implementation, governance and continuous improvement of the Solid Waste data platform, data products and…
Added 9 days ago
H
Full Stack Developer - Angular Expert
Highspring
Montreal, QC
- Contract
We are looking for a Senior Full Stack Developer to support a multi-year enterprise application modernization initiative within the financial services sector.
Added 9 days ago
H
Finance & Strategy Manager
Hopper
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
…business reviews, and turn analysis into clear recommendations for senior leadership and the…
Added 9 days ago
H
Gestionnaire, Finance et stratégie// Finance & Strategy Manager
Hopper
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
…sommes une équipe agile qui avance rapidement, et nous utilisons SQL et des outils d'IA comme Claude pour automatiser le travail manuel afin de consacrer notre temps à l'analyse et à la…
Added 9 days ago
H
Finance & Strategy Manager
Hopper
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
…business reviews, and turn analysis into clear recommendations for senior leadership and the…

Ipsos

Senior Data Engineer

Vancouver, BC, Canada

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Job details

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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