Senior Data Engineer

Title: Senior Data Engineer

Location: Any Ipsos Canada Location

Who We Are:

Ipsos is one of the worlds largest research companies and the only one primarily managed by researchers. Ranked the #1 Most Innovative Market Research Supplierby GreenbooksGRIT report for four consecutive years weoperatein 90 markets offer more than 75 data-driven solutions and serve over 5000 clients worldwide. Our research methodological implementation and subject matter experts help organizations solve complex business challenges through data-driven insights and evidence-based to have been named one of Forbes Americas Best Employers for Company Culture in 2025 Forbes Americas Best Employers for Women in 2026 and recognized by Newsweek as one of the Worlds 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.

Were 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
• Bachelors degree in computer science or a related field required masters 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 $100000 - $110000 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 dont 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 youre applying to!

Whatsin it for you:

At Ipsos youll 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 were 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 employees 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 datathey 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.

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