Find work in Canada.

561,037 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 3 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, Manitoba
- Full-time
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…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, British Columbia
- Full-time
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…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Toronto, Ontario
- Full-time
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…
Added 3 months ago
D
Solutions Consultant
Deliverect
Toronto, ON
- Full-time
…trusted business partner, you will bridge the gap between complex developer ecosystems and business…
Added 3 months ago
S
Staff Engineer - Toronto
Sokin
Toronto, ON
- Full-time
Your depth of experience will enable you to lead on complex projects, drive innovation, champion best practices to enhance product development and deliver real value for the business and…
Added 3 months ago
VC
Business Advisor, Data and Analytics
Vancouver Coastal Health
Vancouver, BC
- $38.9 to $55.92 CAD / hour
- Full-time
Advanced proficiency in analytical tools and software (e.g., SQL, Python, R, Tableau, Power BI).
Added 4 months ago
SQ
Engineering Manager
SuperQ Quantum Computing
Remote, Canada
- Full-time
- Remote
SuperQ is seeking a hands-on Engineering Manager to lead, scale, and guide the technical direction of the engineering team building the Super Platform,our AI-driven supercomputing…
Added 4 months ago
C
Senior Quality Engineer (Python, SQL)
Cognizant
Halifax, Nova Scotia
- $70,000 to $90,000 CAD / year
- Full-time
As a Senior Quality Engineer, you will lead quality assurance initiatives and collaborate with cross-functional technology teams to ensure the delivery of scalable, high-performance…
Added 4 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 USD / year
- Full-time
Lead the full development lifecycle of projects, from planning to development, testing, and maintenance
Added 4 months ago
B
Analyst, Strategy & Performance
Bombardier
Montreal, Quebec
- Full-time
Lead internal and external governance to provide visibility on the performance of your portfolio and projects to stakeholders.
Added 3 months ago
Senior Data Scientist
Wenco (a Hitachi Construction Machinery subsidiary)
Richmond, BC
Lead the development and implementation of advanced time series models for high-dimensional sensor data.
Added 3 months ago
TG
Business Systems Analyst
TMX Group
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
Requirements Architecture: Lead the discovery, validation, and documentation of functional and non-functional requirements. You will facilitate high-impact stakeholder sessions to align…
Added 3 months ago
HR
Senior Clinical Analyst
Humber River Health
Toronto, ON · Greater Toronto, ON
- Other
…are making it happen. As part of our dynamic team, you can lead the way, as we continue our journey towards high reliability…
Added 3 months ago
I
Software Engineer I, Toronto Co-op
INSTALILY.AI
Toronto, ON
- $7,000 CAD / month
Build a rapport with the Lead Software Engineer and Head of Product while fostering a culture of continuous learning and improvement
Added 3 months ago
HH
Senior Quality Engineer
Hinge Health
Remote, Canada
- $90,400 to $135,600 CAD / year
- Full-time
- Remote
You are a hands-on quality engineer who can independently lead testing strategy and execution for complex, user-facing features.
Added 1 month ago
Globalization Tech Lead
Okta
Toronto, ON
…workflows for our content lifecycle using agentic workflows, Python and APIs, connecting our TMS with content sources, repositories, and other internal…
Added 3 months ago
CP
Application Support Analyst
CAAT Pension Plan
Toronto, ON · Head Office
- Full-time
…serving as the technical escalation within the support model and lead complex incident resolution and applications operate reliably in production, with a strong focus on minimizing service…
Added 4 months ago
A
Staff Applied Scientist (Distribution Center Solutions)
Afresh
Remote, Canada
- $169,000 to $252,000 CAD / year
- Full-time
- Remote
We are looking for a Staff Applied Scientist to lead R&D work at Afresh. You will take your existing knowledge of machine learning, forecasting, operations research, and stochastic…
Added 4 months ago
BC
BCG Platinion | Senior AI Tech Architect - AI Platforms
Boston Consulting Group (BCG)
Toronto, Ontario
- $160,000 CAD / year
- Full-time
…growing their architectural skills. You will work closely with Lead and Principal Architects, contributing to AI platform implementations that integrate large language models (LLMs), data…
Added 4 months ago
B
Senior Data Analyst, Ethics and Compliance
Bombardier
Dorval, Quebec
- Full-time
Lead the evolution of analytics for our Ethics and Compliance organization, including the development of predictive analytics and forward-looking risk indicators.
Added 4 months ago
S
Architecte en IA agentique - Intelligence Engineering / Agentic AI - Sr. Architect - Intelligence Engineering
Slalom
Montreal, Quebec
- Full-time
Développer en Python et, lorsque pertinent, dans d’autres langages afin de livrer des systèmes d’apprentissage automatique, des API, des harnais d’évaluation, des pipelines de récupération,…
Added 3 months ago
KC
IT Manager
Kepler Communications
Toronto, ON
- Full-time
…we’re committed to creating an environment where you can grow, lead, and make a global…
Added 3 months ago
C
Application Support Analyst - Assistant Vice President
Citi
Mississauga, ON
- Full-time
Shell or Python scripting ability applied to the automation of operational tasks - not just theoretical awareness, but practical, working implementation.
Added 3 months ago
TR
Manager of Research Engineering, TR Labs
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Drive the technical roadmap of the team, in partnership with product, science, and the technical lead, prioritizing initiatives that enhance product value while managing technical debt…
Added 3 months ago
Q
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Qualcomm
Markham, ON
- Full-time
…push the boundaries of efficient on‑device inference. You will lead and contribute to high-impact research initiatives, understand hardware–software interactions at a fundamental level, and…

iQmetrix

Senior Data Engineer

Winnipeg, MB, Canada

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

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary: Starting at $110,000 CAD, commensurate with experience.
Job type: Full-time
Apply by: Jan 2, 2027
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 About employer

More about this job

Responsibilities

The Senior Data Engineer will design, build, and improve data platform capabilities that power analytics and operational data products. This includes data modeling, platform design, performance tuning, and creating reusable engineering patterns.

Requirements

Candidates should have 5+ years of experience in data engineering or related fields, with strong proficiency in SQL and Python. Familiarity with cloud-native lakehouse platforms and data modeling concepts is also required.

Skills

Python
SQL
Data Engineering
Cloud-Native
Lakehouse
ETL
Data Modeling
Data Quality
Governance
Observability
Performance Tuning
Mentoring
Analytics
AI/ML
Distributed Compute
Orchestration

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Cloud-Native
Lakehouse
ETL
Data Modeling
Data Quality
Governance
Observability
Performance Tuning
Analytics
AI/ML
Distributed Compute
Orchestration
SaaS
Telecom
Data Products
Embedded Analytics
Operational Workflows
Machine Learning
Data Pipelines
Data Governance
Data Lifecycle
Event-Driven
Streaming Data
Predictive Modeling
Feature Preparation
Label Definition
Generative AI

Report this job