Jobs in Canada

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Added 2 months ago
Frontend Engineer, Expansion
Stripe
Canada
…Stripe’s front door surfaces, educating customers about the power of our platform, sharing Stripe’s ideas and expertise with the public, and driving adoption. The Platform pillar builds the…
Added 4 months ago
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Senior Substation Electrical Engineer 1 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
5 or more years experience in the design of Medium Voltage Power Systems.
Added 4 months ago
S&
Lead Substation Engineer 1 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
This position will offer you the ability to directly apply your knowledge of protective relaying and controls systems for HV and EHV substations. As a Lead Substtion Engineer, you will:
Added 2 months ago
Electrical Project Engineer - Substation
Black & Veatch Family of Companies
Calgary, AB · Markham, ON
…protection, control building arrangements, and auxiliary AC/DC power systems within high voltage substation…
Added 4 months ago
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Senior Process Engineer
AtkinsRéalis
Mississauga, Ontario
- Full-time
Must have excellent communication and technical writing skills
Added 4 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 4 months ago
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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 4 months ago
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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 4 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 2 months ago
Industrialization Engineer
Alstom
Kingston, ON
…high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the…
Added 4 months ago
Civil Engineer
WSP
Medicine Hat, Alberta
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 4 months ago
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Associate Principal Software Engineer, Cloud & Edge Backend
Saviynt
Vancouver, BC
- Full-time
Design and develop highly scalable microservices in Go (Golang) that power the Cloud Control Plane and distributed Edge Backends.
Added 4 months ago
AE
Intermediate Electrical Designer
AES Engineering
Calgary, Alberta
- Full-time
Our Must Haves
Added 4 months ago
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Principal Software Engineer, Endpoint Platform
Saviynt
Vancouver, BC
- Full-time
1+ years of Principal-level of systems software engineering experience.
Added 4 months ago
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Principal Software Engineer, Platform Engineering & Edge Infrastructure
Saviynt
Vancouver, BC
- Full-time
Strong experience in Linux systems administration and infrastructure automation.
Added 3 months ago
TR
AI Engineering Lead, Product Analytics
Thomson Reuters
Remote, Canada
- Full-time
- Remote
This role suits someone who builds and who has run programs that scale across a team. You are a strong engineer who works alongside other builders, shaping infrastructure with them so they…
Added 4 months ago
Engineer, Embedded Software
Join the e-Zinc team
Mississauga, Ontario
e-Zinc is seeking an experienced and talented Engineer, Embedded Software to join our Product team and play a key role in developing the embedded software that runs our proprietary zinc-air…
Added 4 months ago
S
Principal Software Engineer, Cloud & Edge Backend
Saviynt
Vancouver, BC
- Full-time
Design and develop highly scalable microservices in Go (Golang) that power the Cloud Control Plane and distributed Edge Backends.
Added 4 months ago
Drainage Engineer / EIT / Designer
WSP
Calgary, AB
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 2 months ago
Machine Learning Engineer, Lyft Business & Ads
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 3 months ago
GV
Lead Power Systems Protection & Control Application Engineer/ Ingénieur d'application principal (Lead) en protection et contrôle des systèmes électriques
GE Vernova
Markham, Ontario
- Full-time
Join GE Vernova’s Grid Automation R&D team to spearhead the next generation of power system protection. As a Lead Power Systems Protection & Control Application Engineer, you will bridge…
Added 3 months ago
GT
Systems Engineer
GeoSpectrum Technologies, Inc
Nova Scotia · Dartmouth, Nova Scotia
- Full-time
GeoSpectrum is growing and has a new career opportunity for an experienced Systems Engineer!
Added 4 months ago
KC
Electrical Design Engineer
Kepler Communications
Toronto, ON
- Full-time
We are looking for an Electrical Design Engineer to support the development of the electrical and communication interface of Kepler’s satellite payload; a communication router between…
Added 4 months ago
KC
Senior Electrical Design Engineer
Kepler Communications
Toronto, ON
- Full-time
We are looking for a Senior Electrical Design Engineer to define and continue the development of the electrical hardware and interfaces between Kepler’s latest generation satellite…
Added 4 months ago
GG
Nuclear Energy Engineering Design Leader
GHD Group Pty Ltd
Toronto, Ontario
- Full-time
…investing in our most strategically important clients. Nuclear power is central to Ontario’s decarbonization, electrification, and reliability agenda. As the province advances major…

iQmetrix

Senior Data Engineer

Winnipeg, MB, Canada

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

Apply on iqmetrix.applytojob.com About employer

Applications open in a new tab.

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.

Apply on iqmetrix.applytojob.com About employer

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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Jobs in Canada