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Added 3 days ago
GC
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
- $110,000 to $150,000 CAD / year
- Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 3 days ago
P
Senior Software Engineer - Java
PointClickCare
Mississauga, ON
- $142,000 to $158,000 CAD / year
- Full-time
Added 4 days ago
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AI Engineer
SandboxAQ
Canada
- Full-time
The SandboxAQ AI Team Is Looking For An AI Engineer To Help Us Build The Future Of Agentic Collaboration, Trust And ROI. Our Goal Is To Make Agents Work Well On Their Own, In Teams, And…
Added 4 days ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 4 days ago
Senior AI Platform Engineer
Motive
Toronto, ON
Senior engineer who ships production software and AI systems on cloud infrastructure that is reliable, secure, and cost-disciplined. You design applications and services, operate inference…
Added 4 days ago
Q
FY27 Intern - Display Systems Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
The Display Systems team is looking for a Display Software Engineer (Internship) interested in developing software and tools for mobile and embedded devices. The Display Systems team is…
Added 4 days ago
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Senior Software Engineer, Agent Infrastructure
Cohere
Remote, Canada
- Full-time
- Remote
…intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at…
Added 4 days ago
A
Senior Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
The Test Engineer supports new product introduction and manufacturing test for fiber optic lab test equipment within an Ottawa-based fiber optic lab and production test business unit. This…
Added 4 days ago
M
Innovation Hub Solution Engineer - Application Development
Microsoft
Toronto, ON · Goodwood, ON
- Full-time
As an Innovation Hub Solution Engineer in the Microsoft Innovation Hub, with a focus on Application Innovation, you will merge business and technical requirements to craft comprehensive…
Added 4 days ago
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FY27 Intern - Applied AI Engineering Intern (Hardware Systems) - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
As a co-op engineer, you'll work on impactful projects such as:
Added 4 days ago
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Technical Lead, Innovation
Croesus
Montreal, QC · Laval, QC
- Full-time
…process, but someone who sets the technical bar by being the best engineer in the room, and who is genuinely obsessed with how good software gets…
Added 4 days ago
3
Platform Data Engineer
360insights
Moncton, NB · Whitby, ON
- $93,500 to $108,500 CAD / year
The Data Platform Engineer is a hands-on, mid-level role responsible for building, maintaining, and enhancing 360insights' Microsoft Fabric data platform. Reporting to the Head of Data…
Added 4 days ago
II
Lead Data Engineer
Ipsos in Canada
Vancouver, BC
- Full-time
Proficiency in Python and advanced working knowledge of SQL.
Added 4 days ago
II
Senior Data Engineer
Ipsos in Canada
Vancouver, BC
- Full-time
Ingest and assemble data from various disparate sources using a variety of tools, including Python and SQL.
Added 4 days ago
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Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Full-time
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 4 days ago
Developer Experience Engineer, AWS Developer Experience
Amazon
Vancouver, BC
We are looking for a Developer Experience Engineer to shape what great agent-driven development looks like on AWS. You will build with agents across AWS services, find the friction, and…
Added 4 days ago
SL
AI Engineer (Digital, AI and Transformation)
Singapore Land Authority (SLA)
SK
- Full-time
We are seeking an AI Engineer to join our Digital, AI and Transformation Department to design, prototype and develop practical technology solutions to address business needs. The role will…
Added 4 days ago
P
Intermediate Software Engineer
PointClickCare
Mississauga, ON
- Full-time
· Knowledge of scripting languages such as Python, Bash or Groovy
Added 4 days ago
R
Test Engineer - Laser Device Characterization & Automation
Ranovus
Ottawa, ON
- Full-time
This role will also involve developing test apparatus, implementing test automation using Python, and creating automated visual inspection processes to support product development and…
Added 4 days ago
Senior ASIC Design Engineer - DSP/Analog/SerDes
Celero Communications, Inc.
Ottawa, ON
…Celero is seeking a highly skilled and motivated ASIC Design Engineer to join our team and contribute to the development of advanced ASICs for high-speed optical communication systems. The…
Added 4 days ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 4 days ago
S
Senior DevOps and Cloud Engineer
StafinGo
Toronto, ON
- $80 to $105 CAD / hour
- Contract
Javascript/python AWS CDK applications, stacks, constructs, tests, configuration, and deployment assets that define the assigned OCRE cloud infrastructure.
Added 4 days ago
B
IT Systems Engineer
Baseten
Toronto, ON
- $175,000 to $225,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 4 days ago
S
Opto-Mechanical Engineer
SBQuantum
Sherbrooke, QC
- Full-time
As Optomechanical Engineer, you will own the evolution of SBQuantum's diamond quantum magnetometer optomechanical subsystem. You will design, fabricate, test, and industrialize the…
Added 4 days ago
S
AI Software Engineer Co-op
symplistic.ai
Woodbridge, ON
- $23 CAD / hour
- Internship
As an AI Engineer Co-op at Symplistic.ai, you will work directly with our engineering team to design, develop, test, and deploy enterprise AI applications and AI agents.

Ipsos in Canada

Lead Data Engineer

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 10, 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: Oct 3, 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!

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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 hands-on technical leadership, mentor engineers, lead incident response and continuous improvement, and partner with stakeholders to translate business needs into production-ready solutions.

Requirements

Requires 8+ years of data engineering or related experience, technical leadership on production systems, a bachelor's degree in computer science or a related field, and proficiency in Python and advanced SQL. Candidates should have hands-on GCP experience, production reliability and incident-management expertise, CI/CD and infrastructure-as-code experience, and strong communication, mentoring, and engineering judgment skills; a master's degree and Terraform experience are preferred.

Skills

Data Engineering
Python
SQL
Google Cloud Platform
BigQuery
Google Cloud Storage
AWS
Data Pipeline Architecture
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
Serverless Data Pipelines
Data Warehousing
Distributed Data Systems
Site Reliability Engineering
SLIs/SLOs
Observability
Monitoring and Alerting
Incident Response
Root-Cause Analysis
CI/CD
Infrastructure as Code
Terraform
Git
Atlassian Suite
Data Quality
Capacity Planning
Disaster Recovery
AI/LLM Tools
Production Engineering
Performance Tuning
Cloud Computing
Market Research

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