Find work in Canada.

559,338 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 3 mins ago
Q
Finance Director
Qolab
Vancouver, BC
- Full-time
…launched Qolab Start, its first deployable superconducting QPU…
Added 3 mins ago
DC
Electrical Engineer
Dillon Consulting Limited
Chatham-Kent, ON · Guelph, ON · Hamilton, ON · Kingston, ON · Kitchener, ON · London, ON · Oakville, ON · Ottawa, ON · Toronto, ON · Vaughan, ON · Windsor, ON · Chatham, ON
- Full-time
Dillon’s Electrical Discipline is looking for an Electrical Engineer to fill an existing vacancy within our multidisciplinary team of professionals. You will have the opportunity to work on…
Added 3 mins ago
DC
Electrical Engineer
Dillon Consulting Limited
Windsor, ON
- Full-time
Your opportunity Dillon’s Electrical Discipline is looking for an Electrical Engineer or EIT to fill an existing vacancy within our multidisciplinary team of professionals. You will have…
Added 3 mins ago
DC
Electrical Engineer-in-Training
Dillon Consulting Limited
Winnipeg, MB
- Full-time
Dillon’s Transportation & Facilities technical group is looking for an Electrical Engineer-in-Training to join our multidisciplinary team of professionals. You will have the opportunity to…
Added 18 mins ago
Z
Azure Cloud Platform Engineer + ADF
Zoho
Toronto, ON
- Contract
We are seeking an experienced Senior Azure Cloud Platform Engineer , focused on designing, deploying, and supporting enterprise-grade Azure data and analytics platforms, including Power BI.
Added 18 mins ago
DP
Optical Test Engineer, R&D
Dream Photonics Inc.
Vancouver, BC
- $90,000 to $110,000 CAD / year
- Full-time
…photonic systems. We are developing PICTORTM, a manufacturing platform that uses precision 3D printing to create high-efficiency, low-loss optical connections for photonic integrated…
Added 18 mins ago
DP
Photonics Engineer, R&D
Dream Photonics Inc.
Vancouver, BC
- $90,000 to $130,000 CAD / year
- Full-time
…photonic systems. We are developing PICTORTM, a manufacturing platform that uses precision 3D printing to create high-efficiency, low-loss optical connections for photonic integrated…
Added 18 mins ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
Added 18 mins ago
C
Senior Mechanical Engineer, Onsite role in Kanata
Ciena
Ottawa, ON
- Full-time
The Senior Mechanical Engineer role contributes to the development of physical design solutions for advanced optical platforms, enabling high performance networking products. The position…
Added 47 mins ago
FS
Lead Infrastructure Architect
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
- Full-time
Builds scalable, secure, and cost-optimized environments that support enterprise platforms such as Dynamics 365, Power Platform, and Office 365.
Added 47 mins ago
M
Android Software Engineer
MANNARINO
Montreal, QC
- Full-time
We are seeking an experienced Android Software Engineer to help develop next-generation in-flight entertainment systems. You will work alongside multidisciplinary engineering teams to…
Added 47 mins ago
TI
Full Stack Engineer (knowledge graph platform)
Tekgence Inc
Toronto, ON
- Contract
Title – Full Stack Engineer (knowledge graph platform)
Added 47 mins ago
Principal Backup Engineer
Scotiabank
Toronto, ON
The Principal Engineer is to advise senior technology leaders on platform strategy, technology risk, resiliency posture, investment planning, and emerging industry trends, maintains…
Added 47 mins ago
E
Platform Engineer - Depop
eBay
Toronto, ON
- Full-time
We are looking for a Platform Engineer to join our Toronto engineering team and help build the cloud-native foundation that powers scalable, reliable, and secure software delivery at eBay.…
Added 47 mins ago
W
Microsoft Azure Administrator/Developer
Workiy
BC · Burnaby (Government Road / Lake City / SFU / Burnaby Mountain), British Columbia
- Contract
Microsoft Certified: Power Platform Solution Architect Expert.
Added 47 mins ago
ZT
Advanced Data Platform Engineer
Zebra Technologies
Mississauga, ON · CAN - Mississauga, Canada
- Full-time
The Advanced Data Platform Engineer focuses on building infrastructure for working with data. In this role, you will plan computerized databases, including base definition, structure,…
Added 1 hour ago
F
Senior Product Development Manager
femtherapeutics
Montreal, QC
- Full-time
…clinic visit. This device is delivered alongside a digital platform that supports clinical screening, education, and care navigation. Through this combination of hardware and software,…
Added 1 hour ago
S
Sr. CRM Account Executive
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
B
QA Engineer
BluWave-ai
Ottawa, ON
- Full-time
…end-to-end functionality of our real-time energy optimization platform and EV fleet…
Added 1 hour ago
C
Optical New Product Engineering Intern
Ciena
Montreal, QC
- Full-time
New Product Introduction – Photonic Test Engineer (Co-op)
Added 1 hour ago
Z
Azure Cloud Platform Engineer..
Zoho
Toronto, ON
- Contract
We are seeking an experienced Senior Azure Cloud Platform Engineer , focused on designing, deploying, and supporting enterprise-grade Azure data and analytics platforms, including Power BI.
Added 1 hour ago
ZS
AI Platform Engineer
Zodiac Solutions, Inc
Halifax, NS
- Full-time
Added 1 hour ago
WH
Senior Electrical Design Engineer
Waterstone Human capital
Toronto, ON
- Full-time
Exposure to motion control system design (servo drives, VFD motors) and PLC/HMI programming; Allen-Bradley platform experience is a plus
Added 1 hour ago
PG
Cloud Engineer
Pacer Group
Calgary, AB
- $45 to $50 CAD / hour
- Contract
Strong knowledge of Microsoft Azure, AWS, or Google Cloud Platform (GCP) environments.
Added 1 hour ago
Revenue Operations Manager
AfterShip
Toronto, ON
…company on a mission to build the world’s leading automation platform for ecommerce…

Ipsos in Canada

Lead Data Engineer

Vancouver, BC, Canada

$130,000 to $140,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $130,000 to $140,000 CAD / year
Job type: Full-time
Apply by: Dec 2, 2026
Experience: 8+ years of professional experience in data engineering, data platform engineering, or a closely related field, with demonstrated technical leadership on production systems.
Posting language: English
Posted: Nov 2, 2026

Original job description

Job Description

Title: Lead Data Engineer

Location: Any Ipsos Canada Location

Who We Are

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’re proud to share we’ve received our Great Place to Work Certification in 2024, for the third year running!

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

Lead the architecture, design, coding, testing, and delivery of cloud-based data pipelines and platform components that process and store large-scale datasets.
Establish engineering standards, reusable patterns, and technical guardrails for data ingestion, transformation, orchestration, storage, and serving.
Design and optimize data warehouses and distributed data systems for scalability, security, reliability, performance, and cost efficiency.
Provide hands-on technical leadership through solution design, code reviews, debugging, production support, and mentorship of data engineers.
Own production readiness and reliability practices for the data platform, including service-level indicators/objectives (SLIs/SLOs), observability, monitoring, alerting, capacity planning, and failure-mode analysis.
Lead incident response for data-platform and pipeline disruptions; drive root-cause analysis, blameless post-incident reviews, and corrective actions that reduce recurrence and operational toil.
Improve software delivery and operations through automated testing, CI/CD, infrastructure as code, runbooks, release controls, and operational tooling.
Drive the migration of development code into production and ensure systems are supportable, maintainable, well-documented, and production-grade.
Partner with internal and external stakeholders to translate business and project needs into technical architecture, delivery plans, and clear trade-off decisions.
Continuously troubleshoot and improve existing infrastructure and codebases, and responsibly incorporate AI/LLM-based tools where they improve engineering productivity and quality.

This might be the job for you if you have:

8+ years of professional experience in data engineering, data platform engineering, or a closely related field, with demonstrated technical leadership on production systems.
Bachelor's degree in computer science or a related field required; master’s degree or higher preferred.
Proficiency in Python and advanced working knowledge of SQL.
Strong hands-on experience with GCP services, including BigQuery and GCS; familiarity with other cloud platforms is an asset.
Hands-on SRE or production-engineering experience, including observability, SLIs/SLOs, monitoring and alerting, incident response, post-incident reviews, reliability automation, and operational readiness.
Experience with CI/CD and infrastructure-as-code practices; experience with tools such as Terraform is preferred.
Prior success designing, deploying, and operating large-scale data pipelines and distributed storage/compute systems in production environments.
Strong understanding of production failure modes, performance tuning, capacity planning, data quality, and disaster-recovery/recoverability concepts.
Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
Experience incorporating AI/LLM-based tools into data engineering workflows, with demonstrated ability to critically evaluate outputs and apply sound engineering judgment to accept, adapt, or reject suggestions.
Strong technical communication skills and the ability to explain complex engineering concepts, influence technical decisions, and work effectively in a highly collaborative, consensus-oriented environment.
Strong attention to detail, excellent time-management skills, and a track record of mentoring engineers and raising engineering standards across a team.

In accordance with Ontario & British Columbia law, the estimated base salary range for this role is $130,000 - $140,000 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!

Apply About employer

More about this job

Responsibilities

Lead the design, development, and operation of scalable cloud data pipelines and platform components, establishing engineering standards and ensuring reliability, security, performance, and cost efficiency. Provide technical leadership through mentoring, production support, incident response, stakeholder collaboration, and improvements to delivery practices and platform operations.

Requirements

Requires 8 or more years of data engineering or related experience, a bachelor's degree in computer science or a related field, strong Python and SQL skills, and hands-on experience with GCP data services and production-scale data systems. Candidates should also bring SRE and operational reliability experience, CI/CD and infrastructure-as-code knowledge, strong communication skills, and a record of technical leadership and mentoring.

Skills

Data Engineering
Python
SQL
Google Cloud Platform
BigQuery
Google Cloud Storage
AWS
Data Pipelines
Data Warehousing
Distributed Systems
Site Reliability Engineering
Observability
Incident Response
CI/CD
Infrastructure as Code
Terraform

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 Platform Engineering
Python
SQL
Google Cloud Platform
BigQuery
Google Cloud Storage
AWS
Cloud Computing
Serverless Data Pipelines
Data Ingestion
Data Transformation
Data Orchestration
Data Warehousing
Distributed Storage
Distributed Compute
Site Reliability Engineering
SLIs
SLOs
Observability
Monitoring
Alerting
Incident Response
Root-Cause Analysis
CI/CD
Infrastructure as Code
Terraform
Git
Atlassian Suite
AI/LLM Tools

Report this job