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Added 1 month ago
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Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
…empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to…
Added 4 months ago
PS
ML Scientist, All Levels
Perceptive Space
Remote, Canada
- Full-time
- Remote
Use AI-assisted coding tools, automation, and modern development workflows to move faster, debug faster, test better, and accelerate experimentation.
Added 1 month ago
ML Engineer Manager, AI Conversation Platform
Stripe
Toronto, ON
Added 1 month ago
Staff Full stack Engineer [CONSUMER]
HelloFresh
Toronto, ON
journey and making it easier for our customers to buy amazing food. Other times, this means creating stable software solutions that keep our distribution centers running.
Added 3 months ago
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QNX Senior Security Researcher
BlackBerry
Ottawa, ON
- Full-time
QNX enhances the human experience and amplifies technology-driven industries, providing a trusted foundation for software-defined businesses to thrive. The business leads the way in…
Added 3 months ago
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QNX Senior Security Researcher
BlackBerry
Ottawa, Ontario
- Full-time
QNX enhances the human experience and amplifies technology-driven industries, providing a trusted foundation for software-defined businesses to thrive. The business leads the way in…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, MB
- Full-time
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…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Regina, SK
- Full-time
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…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
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…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
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…
Added 3 months ago
I
Applied Machine Learning
Ideogram
Toronto, ON
- Full-time
Added 3 months ago
Software Development Manager
Curve Dental
Calgary, Alberta
As a Software Development Manager at Curve, you'll lead one or more software development teams, working alongside Product Managers, Architects, and other Development Managers to deliver…
Added 3 months ago
SD
Artificial Intelligence (AI) Architect
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
System Staff Development Model. We are a 100% Indigenous-owned company.
Added 3 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
years in software development and system integration
Added 3 months ago
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Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal
Montreal, Quebec
- Full-time
Added 3 months ago
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Generative AI Consultant
Sia
Montreal, Quebec
- Full-time
LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative…
Added 5 months ago
Agentic AI Researcher
Human Resources
Toronto, Ontario
In this role, you will contribute to the development of self-learning, autonomous, and personalized AI agents that are embedded directly into LG products, including smart home platforms,…
Added 5 months ago
Lead Agentic AI Researcher
Human Resources
Toronto, Ontario
Toronto’s AI Lab is seeking a Lead Agentic AI Researcher to drive the development and application of agentic AI systems across LG Electronics’ global product portfolio. This role will lead…
Added 2 months ago
C
Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;
Added 2 months ago
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Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
Expedia
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 1 month ago
Senior ML Data Processing Developer
LawZero
Montreal, QC
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline. Sitting at the intersection of data…
Added 2 months ago
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Software Development Manager, MCP/AI
Autodesk
Toronto, ON · ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
As the Software Development Manager, MCP/AI for this team, you will build it from the ground up and lead it to deliver agentic capabilities that other Visualization Solutions teams - and…
Added 1 month ago
OT
Sr. Systems Administrator
Open Text Corporation
Richmond Hill, ON · Waterloo, ON
- Other
Act as the primary development escalation point, leading complex incident resolution, root cause analysis, and post-incident reviews.
Added 2 months ago
Sr. Systems Engineer, Ruckus
Belden Inc
Cobourg, ON
Our RUCKUS Smart Wi-Fi, ICX switching, IoT, rich AI/ML Analytics software, secure policy user/device onboarding software, and broad portfolio of network management and control all redefine…
Added 4 months ago
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Développeur(-euse) principal d’application mobile − Android / Senior Mobile Developer – Android
Expedia
Montreal, Quebec · Canada - Quebec - Montreal
- Full-time

iQmetrix

Senior Data Engineer

Winnipeg, MB, 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. 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
Data Governance
CI/CD
Orchestration
Data Quality
Observability

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

Visa sponsorship

Not detected in the job text

Keywords

Delta Lake
Unity Catalog
SaaS
Lakehouse
Python
SQL
ETL
ELT
Dimensional Modeling
CI/CD
Data Governance
Data Lineage
Distributed Compute
AI/ML
Generative AI
Multi-tenant
Semantic Analytics
Orchestration
Cloud-native
Data Products

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