Jobs in Canada

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Added 3 months ago
TH
Senior AI Engineer - Full time
Trillium Health Partners
Mississauga, Ontario
- Full-time
Reporting to the Director, AI & Digital Planning, the Senior AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions…
Added 3 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 1 month ago
RB
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant…
Added 1 month ago
E
Senior Software Engineer, AI Platform
eBay
Toronto, ON
- Full-time
…maintaining high quality and performance. As a Senior Software Engineer – Backend, you will architect and develop core platform services, solving complex technical problems and shaping…
Added 1 month ago
RB
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 1 month ago
Senior Data Platform Engineer
LawZero
Montreal, QC
…research and creating technical solutions that enable safe-by-design AI systems. Its scientific direction is based on new research and methods proposed by Professor Yoshua Bengio, the most…
Added 1 month ago
RB
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
Royal Bank of Canada
Toronto, ON
- Full-time
…language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that transform the way we operate and deliver…
Added 1 month ago
Security Engineer, AWS Security
Amazon
Vancouver, BC
You'll work directly with service teams across some of the most critical systems in cloud computing to find and fix security risks before they become problems. You will design security…
Added 1 month ago
Security Engineer, AWS Security
Amazon
Vancouver, BC
You'll work directly with service teams across some of the most critical systems in cloud computing to find and fix security risks before they become problems. You will design security…
Added 1 month ago
R
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
…including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant…
Added 1 month ago
R
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
RBC
Toronto, ON
- Full-time
…language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that transform the way we operate and deliver…
Added 3 months ago
GD
Systems Engineer, Air & Naval Sonar, Intermediate/Working Level
General Dynamics Missions System International
Ottawa, Ontario
- Full-time
General Dynamics Mission Systems–Canada is looking for an experienced System Engineer to join our A&N Sonar team. In this role, you’ll lead systems engineering efforts that can span form…
Added 1 month ago
UT
Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies…
Added 1 month ago
Staff Full stack Engineer [CONSUMER]
HelloFresh
Toronto, ON
Lead the design and delivery of scalable backend platforms and distributed systems, leveraging AI-assisted and agentic engineering workflows to accelerate delivery and improve system…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, MB
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Regina, SK
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 1 month ago
Senior Data Platform Engineer
Tubi - Canada
Toronto, ON
The team is small and senior. Each engineer owns major platform components: you design it, build it, and support it in production.
Added 3 months ago
I
Applied Machine Learning
Ideogram
Toronto, ON
- Full-time
As an Applied ML Engineer at Ideogram, you’ll bridge research and product – turning frontier generative models into production features across our first-party app and API. You’ll experiment…
Added 1 month ago
Machine Learning Engineer, Lyft Business & Ads
Lyft
Toronto, ON
We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead,…
Added 3 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
We are seeking a Senior AI Engineer to design, develop, and

iQmetrix

Senior Data Engineer

Toronto, ON, Canada

Salary: Starting at $110,000 CAD, commensurate with experience. · Full-time

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Job details

Pay: Salary: Starting at $110,000 CAD, commensurate with experience.
Job type: Full-time
Experience: 5+ years of experience in data engineering, software engineering, analytics engineering, or a closely related field.
Posting language: English
Posted: Jul 6, 2026

Original job description

What We do:

iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail. Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of intelligence. It replaces fragmented legacy stacks with a modern, modular operating layer, connecting telcos, retailers, and OEMs into one flow across channels and markets. The result is less complexity, lower cost, and the speed to move ahead.

For 26 years, we’ve been passionate about helping the leading brands in telecom to grow by providing best-in-class software, services, and expertise that enables them to adapt and thrive. Our solutions power $17BN in sales annually, handling nearly 53 million invoices and more than 28 million activations, and are used by more than 370,000 telecom retail professionals across almost 1,000 clients. iQmetrix is a privately held software-as-a-service (SaaS) company with employees in Canada, the U.S., India, and Europe. For more information, please visit www.iqmetrix.com.

How We Do it:

We are on a self-management journey. As we work to move away from the restrictions of hierarchy, teams are building collaborative peer-based networks where there are no bosses. Decisions are meant to be distributed to the people who are best able to make the decisions which means more freedom for individuals to contribute at their highest levels. We are purpose-driven, helping individuals connect to the meaning in their day-to-day work. Additionally, we are currently on the road to building a diverse and inclusive environment. Working at iQmetrix means always looking at ways to be better.

Reports To: Technical Lead

Salary: Starting at $110,000 CAD, commensurate with experience.

About the Team:

The Data & Analytics team is moving from a legacy reporting model to a modern data platform organization, one that powers embedded analytics, operational data products, and AI/ML capabilities across our SaaS point-of-sale (POS) and retail management system (RMS) ecosystem.

The team builds on cloud-native lakehouse infrastructure to create trusted, reusable, and scalable data foundations that support internal decision-making, customer-facing product experiences, and emerging AI use cases. Pipelines, data products, and platform patterns are all in scope.

A core part of the mission is reducing friction across the data lifecycle: onboarding, modeling, governance, exposure, and application. That means building high-quality lakehouse pipelines, enforcing rigorous data quality standards, and creating engineering patterns that let analytics, product, engineering, and AI initiatives move faster with more confidence.

About the Role:

The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.

This role goes beyond pipeline implementation. It includes data modeling, platform design, performance tuning, governance, observability, and the creation of reusable engineering patterns that support scalable and trustworthy data products.

The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse patterns and layered data product design, and should be comfortable providing technical leadership through mentoring, design reviews, code reviews, and platform stewardship.

What You'll Be Doing:

Design, build, and optimize scalable data pipelines and curated data products using Python, SQL, and distributed compute - with a strong understanding of execution models, partitioning, and performance tuning.
Develop and maintain data models across raw, refined, and curated layers to support reporting, embedded analytics, operational workflows, machine learning, and emerging AI use cases.
Build reliable, reusable, and well-documented data assets consumed by analytics, product, engineering, and downstream platform teams.
Design data structures that support multi-tenant SaaS reporting, dimensional modeling, semantic analytics, and governed access patterns across multiple products and customer boundaries.
Own orchestration using asset-based or software-defined orchestration patterns - where pipelines are modeled as versioned, observable data assets with clear ownership and dependency contracts, not just task graphs.
Improve the performance, reliability, observability, and cost efficiency of data processing workflows across the platform.
Implement and advance data quality, lineage, governance, and secure access control practices using modern lakehouse tooling and platform standards.
Partner with product, software engineering, analytics, and AI stakeholders to translate business workflows into reliable data products and platform capabilities.
Contribute to platform architecture decisions, reusable engineering patterns, data onboarding standards, and the ongoing evolution of the organization's data platform strategy.
Support event-oriented and near-real-time data patterns where needed to enable downstream operational and product use cases.
Troubleshoot complex data issues, lead root-cause analysis, and improve the resilience of pipelines, jobs, and platform services.
Operate comfortably within containerized or cloud-native platform infrastructure, including understanding how data services interact with surrounding platform components.
Mentor junior and intermediate engineers, review code and designs, and help establish best practices for data engineering, analytics enablement, and AI/ML-supporting data workflows.

What We're Looking For:

5+ years of experience in data engineering, software engineering, analytics engineering, or a closely related field.
Strong proficiency in SQL and Python, with production experience in distributed compute environments and a solid understanding of execution models, partitioning, and optimization.
Hands-on experience with cloud-native lakehouse platforms and modern data lake storage patterns, including Delta Lake or equivalent.
Strong opinions about layered data product design - specifically separation of concerns between raw, refined, and curated data - and experience enforcing those boundaries at scale in a governed environment.
Experience designing, building, and maintaining production ETL/ELT pipelines for analytical or operational workloads.
Strong understanding of data modeling concepts, including dimensional modeling, curated data products, and semantic-ready data structures.
Familiarity with asset-based or software-defined orchestration approaches, version control, CI/CD practices, and production support for data systems.
Strong understanding of data quality, observability, governance, lineage, and secure data access patterns.
Ability to communicate technical trade-offs clearly and partner effectively across engineering, product, analytics, and business teams.
Experience mentoring other engineers through code reviews, design reviews, troubleshooting, and shared engineering standards.

Nice To Have:

Experience with Unity Catalog or equivalent metadata and governance layers in a cloud data platform.
Experience with event-driven, streaming, or near-real-time data patterns in cloud or lakehouse ecosystems.
Experience building data products that directly support predictive model development - including feature preparation, label definition, and pipelines that feed model training and evaluation workflows.
Experience supporting generative AI or agent workflows through structured and unstructured data preparation, retrieval patterns, or evaluation datasets.
Experience working in a SaaS product organization with multiple products, domains, tenants, or customer-specific data boundaries.
Familiarity with cost optimization practices for cloud data platforms.

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More about this job

Responsibilities

Design and optimize scalable data pipelines and curated data products to power analytics, AI, and operational workflows. Lead the implementation of data modeling, governance, and observability patterns within a cloud-native lakehouse infrastructure.

Requirements

Requires 5+ years of experience in data or software engineering with strong proficiency in Python, SQL, and distributed compute environments. Candidates must have hands-on experience with lakehouse platforms and a deep understanding of layered data product design.

Skills

Python
SQL
Distributed Compute
Data Modeling
Lakehouse Architecture
ETL/ELT Pipelines
Dimensional Modeling
Orchestration
Data Governance
CI/CD
Performance Tuning
Data Observability
Multi-tenant SaaS Reporting
Delta Lake
Technical Leadership
Code Review

Benefits

Flexible hybrid working environment
Generous vacation
Trusted sick leave program
RRSP/401K/PF
Share Ownership plans
Salary match program
Maternity, adoption, and paternity leave salary top ups
New Baby Days
Cultural Day off
Paid time off for volunteering or personal learning
Sabbatical after seven years of employment

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Lakehouse
Delta Lake
Unity Catalog
ETL
ELT
Dimensional Modeling
SaaS
AI/ML
Generative AI
Distributed Compute
Data Governance
Data Lineage
CI/CD
Containerization
Cloud-native
Orchestration
Multi-tenancy
Semantic Analytics
Data Quality
Observability
Performance Tuning
Feature Preparation
Retrieval Patterns
Event-driven Architecture
Streaming
Data Products
Technical Mentorship
Software-defined Orchestration

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