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Added 2 months ago
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Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services…
Added 3 months ago
VH
Senior Engineering Manager, Software
Verto Health
Remote, Canada
- $150,000 to $200,000 CAD / year
- Full-time
- Remote
6+ years of engineering experience with at least 2 years of leadership experience recently leading and growing agile engineering teams, respected as both an engineer and a manager.
Added 2 months ago
M
Staff AI Engineer
Maple
Toronto, ON
- Full-time
We're looking for a Staff AI Engineer to help our engineering teams build, evaluate, and scale AI features across the product - and set the bar for what great looks like.
Added 2 months ago
EB
Staff Engineer (AI & Engineering)
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
We are looking for a Staff Engineer, AI & Engineering who can bridge deep software engineering expertise with practical AI implementation. This role is ideal for a senior technical leader…
Added 2 months ago
A
Data Solutions Architect
Allied
Toronto, ON
- Full-time
Added 3 months ago
S
Business Development Manager Medium Voltage – Mining vertical
Siemens
Richmond, BC
- Full-time
Bachelor’s Degree in Electrical Engineering; Professional Engineer (P.Eng.) designation is considered a strong asset.
Added 3 months ago
IC
AI / Machine Learning Engineer
Infoya Career Connect
Toronto, ON · Waterloo, ON
- $85,000 to $105,000 CAD / year
- Full-time
We are seeking a motivated and innovative AI / Machine Learning Engineer to join our growing engineering team. This role is ideal for recent graduates and early-career professionals who are…
Added 3 months ago
PI
Java Engineer (Architect / Technical Lead) - Agentic AI
Princeton IT Services, Inc
Toronto, ON
- Full-time
Senior Java Engineer (Architect / Technical Lead) Agentic AI
Added 2 months ago
P
AI Engineer
PLATO
Remote, Canada
- $75 to $95 CAD / hour
- Contract
- Remote
We are seeking an experienced AI Engineer with 5+ years of experience designing, developing, and deploying enterprise-grade Artificial Intelligence and Generative AI solutions using the…
Added 2 months ago
Data Engineer II, Alexa Audio
Amazon
Vancouver, BC
Join our Alexa Audio Data and Insights team as a Data Engineer, and lead futuristic big data initiatives that will shape the next generation of intelligent, conversational experiences. In…
Added 2 months ago
O
Senior Business Analyst, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 2 months ago
TH
Manager, Software Engineering
Top Hat
Remote, Canada
- Full-time
- Remote
Technical Background: Prior hands-on experience as a software engineer (Java and/or React preferred).
Added 2 months ago
BC
Sr. Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
…accelerate Blackpoint Cyber's ML/AI capability. As a Senior Software Engineer on this team, you'll own back-end systems and data/ML pipelines end-to-end, work cross-functionally across…
Added 2 months ago
BC
Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
- $128,000 to $158,000 CAD / year
- Full-time
- Remote
…accelerate Blackpoint Cyber's ML/AI capability. As a Software Engineer on this team, you'll build back-end systems and data pipelines within established architecture, working…
Added 2 months ago
A
Mid-Market Sales Account Executive (Google)
Accenture
Toronto, ON
- Full-time
…cutting-edge technologies - from Data & AI, modernization, and Generative AI to enhanced security, reimagined customer experiences, and industry-specific…
Added 1 month ago
Data Engineer
Capgemini
Mississauga, ON
Added 3 months ago
S
Directeur.trice principal.e, opérations de l'expérience client // Senior Director, Customer Experience Operations
SSENSE
Montreal, Quebec
- Full-time
…concevant des flux de travail automatisés et des intégrations d'IA générative/LLM afin de réduire considérablement les délais de première réponse et de résolution…
Added 4 months ago
ID
Sr Data Engineer -
iLink Digital
ON · East Toronto (Studio District), Ontario
- Full-time
We are seeking a highly skilled Databricks Engineer with
Added 1 month ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop:…
Added 3 months ago
TG
Systems Engineer, Patch Management (12 month contract)
TMX Group
Toronto, Ontario
- $110 to $120 CAD / hour
- Full-time
We are seeking a Systems Engineer to join our team for a 12-month contract. In this role, you will be responsible for architecting, testing, and executing enterprise-wide software updates…
Added 1 month ago
AI and Data - Manager - AI Engineer
EY
Toronto, ON
As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team,…
Added 3 months ago
E
Senior Machine Learning Engineer
EvenUp
Toronto, Ontario
- $196,000 to $265,000 USD / year
- Full-time
We're looking for a Senior Machine Learning Engineer to help build the models and systems powering Piai™, our proprietary claims-intelligence platform. You'll work across the ML stack -…
Added 2 months ago
L
Legal Engineer - French Speaking
Legora
Toronto, ON
- Full-time
…navigating technical conversations, especially around things like generative AI, technology implementation, innovation and productivity…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Regina, Saskatchewan
- 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
B&
Electrical Project Engineer - Substation
Black & Veatch
Markham, Ontario
- Full-time
…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…

iQmetrix

Senior Data Engineer

Regina, SK, 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
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.

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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 a related field, with strong proficiency in SQL and Python. Familiarity with cloud-native lakehouse platforms and data modeling concepts is essential.

Skills

Python
SQL
Data Engineering
Data Modeling
ETL
Cloud-Native
Lakehouse
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
Analytics
AI/ML
Data Quality
Governance
Observability
Performance Tuning
Mentoring
Distributed Compute
Orchestration
SaaS
Telecom
Data Products
Data Pipelines
Event-Driven
Streaming
Near-Real-Time
Data Lifecycle
Data Governance
Data Access
Multi-Tenant
Dimensional Modeling
Semantic Analytics
Root-Cause Analysis

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