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Added 1 month ago
R
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
…join our team as a Data Scientist / Researcher specializing in Generative AI Models. In this role, you will develop and optimize and use Large Language Models (LLM's), to solve complex…
Added 1 month ago
SS
Generative AI Engineer
Soho Square Solutions
Montreal, QC
- Contract
We are seeking a Cloud & AI Engineer to design, build, and maintain enterprise-scale multi-cloud infrastructure across Azure and AWS while enabling cloud-native AI solutions and agentic AI…
Added 3 months ago
TG
Systems Engineer - Linux (12-month contract)
TMX Group
Toronto, Ontario
- $105 to $120 CAD / hour
- Full-time
The Systems Engineer is responsible for the management and support of various infrastructure technologies on distributed system platforms. In this role, you will design, build, and maintain…
Added 1 month ago
Electrical Project Engineer - Substation
Black & Veatch Family of Companies
Calgary, AB · Markham, ON
…fast-growth technology-led arena of advanced manufacturing, and generative AI computing including gigafactories, bio/ag tech, data centers and distributed infrastructure. By joining our…
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 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
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
We are currently building our talent pipeline for upcoming Forward Deployed AI Engineer opportunities in Canada. While we may not have an immediate opening today, we are actively connecting…
Added 3 months ago
M
AI Engineer
Morningstar
Toronto, Ontario
- Full-time
The AI Accelerator team sits at the center of Morningstar’s Generative AI strategy for the Direct Platform. We build and scale core systems such as the Morningstar MCP Server, MCP Gateway,…
Added 3 months ago
Q
Scrum Master - French
Quantiphi
Canada
- Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Added 3 months ago
Q
TPM/RTE - French
Quantiphi
Canada
- Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Added 4 months ago
E
Research Associate, Semiconductors & AI Infrastructure - 26229
Enverus
Calgary, Alberta
- Full-time
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and…
Added 3 months ago
Senior Security Engineer, AI Security
Amazon
Vancouver, British Columbia
…interest in AI/ML services like Amazon Bedrock, SageMaker, generative AI, large language models, and responsible AI - we're right here on the journey with…
Added 4 months ago
TG
AI & ML Intern - Electrical Engineer
Trench Group GmbH
Toronto, Ontario
- $22 to $26 CAD / hour
…documentation solutions that modernize and streamline how we engineer and deliver air core reactors. Working closely with experienced engineers, you will help integrate AI and ML…
Added 4 months ago
I
Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
…iManage’s enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact…
Added 4 months ago
ID
Sr Data Engineer -
iLink Digital
Toronto, Ontario · East Toronto (Studio District), Ontario
- Full-time
We are seeking a highly skilled Databricks Engineer with
Added 4 months ago
HT
Research Engineer – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
Technical depth in multimodal learning, speech/audio, computer vision, NLP, generative AI, or foundation models
Added 4 months ago
I
Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
…iManage’s enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact…
Added 2 months ago
C
Lead Phyton and Generative AI Engineer- Vice President
Citi
Remote, Canada
- Full-time
- Remote
We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of Services Tech AI…
Added 4 months ago
PI
Full Stack Engineer
Patlytics, Inc.
Remote, Canada
- Full-time
- Remote
…is protected and monetized at scale. Our advanced LLMs and generative AI engine - custom-built for intellectual property - power every phase of the patent workflow from invention disclosure…
Added 4 months ago
JI
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
- Full-time
…applications that combine predictive analytics, machine learning, generative AI, agentic AI, and computer vision directly within business workflows. Our AI Centre of Excellence develops…

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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