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Added 1 month ago
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IP Routing App Engineer Co-op/Intern
Nokia
Ottawa, ON
- Full-time
Position: IP Routing App Engineer Co-op/Intern
Added 1 month ago
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Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
RBC
Toronto, ON
- Full-time
…language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that transform the way we operate and deliver…
Added 1 month ago
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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 1 month ago
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Lead Quantitative Financial Engineer
SS&C Technologies
Toronto, ON
- Full-time
Training: Hands-On, Team-Customized, including SS&C Learning Institute
Added 1 month ago
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Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies…
Added 2 months ago
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Firmware Integration and Test Engineer
Nokia
Ottawa, ON
- Full-time
As an Optical Firmware Integration Test (SIT) Engineer at Nokia, you'll play a crucial role in enhancing our optical pluggable firmware development and verification process. You will…
Added 2 months ago
Staff Software Engineer, Fullstack
Fivetran
Toronto, ON
We’re looking for a Staff Software Engineer, Fullstack to join our Reverse ETL product engineering team.
Added 4 months ago
GC
Forward Deployed Engineer (AI Practice)
Greenlight Consulting
North York, Ontario
- $90,000 to $130,000 CAD / year
…measurable business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and…
Added 3 months ago
Senior Agentic Software Engineer
Lantern
Edmonton, AB
As a Senior Software Modernization Engineer, you'll work directly with enterprise software engineering organizations to help modernize applications, improve developer productivity,…
Added 4 months ago
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Senior Software Engineer, Notebooks
Snowflake
Toronto, ON
- $245,250 to $295,250 CAD / year
- Full-time
Drive high-impact initiatives that span our product areas and full tech stack, including golang and Python on the backend and TypeScript/React on the frontend.
Added 1 month ago
Staff Full stack Engineer [CONSUMER]
HelloFresh
Toronto, ON
We are looking for an engineer to help implement solutions & write beautiful code, working with various team members as we build out our consumer facing applications & the infrastructure…
Added 4 months ago
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Senior Data Engineer
iQmetrix
Winnipeg, MB
- 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 4 months ago
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Senior Data Engineer
iQmetrix
Regina, SK
- 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 4 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- 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 4 months ago
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Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- 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
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AI Engineering Lead, Product Analytics
Thomson Reuters
Remote, Canada
- Full-time
- Remote
…prototyped into something the whole team can use. This is a hands-on role; you build, and you keep our builders moving…
Added 4 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 2 months ago
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Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being…
Added 2 months ago
FEA Engineer
Ametek, Inc.
Levis, QC
What we offer at Creaform Engineering for this FEA Engineer role in Lévis:
Added 4 months ago
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Staff Software Engineer, Shared Services ⭐
Achievers
Toronto, ON
- Full-time
…feature flag management, and the base libraries that every Go and Python service at Achievers is built on - all sitting at the critical path of everything we…
Added 1 month ago
Senior ML Data Processing Developer
LawZero
Montreal, QC
In this role, you will not just manage data; you will engineer its quality. You will design algorithmic filtering, build model-based scoring mechanics, and ensure rigorous benchmark…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
As a Forward Deployed AI Engineer, you work at the heart of a client's most pressing AI challenges, turning intent into an operational, measurable result in weeks rather than months. This…
Added 4 months ago
Security Engineer
HeyGen
Toronto, Ontario
Strong software engineering background with hands-on Python and AWS experience; you write code, not just policies.
Added 4 months ago
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Senior Site Reliability Engineer
Morningstar
Toronto, Ontario
- Full-time
Write scripts and tooling in Python, Bash, or other scripting languages to automate routine operational tasks and streamline deployments.
Added 4 months ago
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Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
As a Senior Software Engineer in Test for the ML API features team, you will lead testing strategy and execution for AI/ML models, evaluating accuracy, fairness, and performance at scale.…

iQmetrix

Senior Data Engineer

Vancouver, BC, Canada

$110,000 CAD / year · Full-time

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Job details

Pay: $110,000 CAD / year
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

The Senior Data Engineer will design and optimize scalable data pipelines and curated data products to power analytics and AI capabilities. This includes managing data models across raw, refined, and curated layers while mentoring junior engineers and establishing engineering patterns.

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 cloud-native lakehouse platforms and a deep understanding of data modeling and governance.

Skills

Python
SQL
Distributed Compute
Data Modeling
Lakehouse Architecture
ETL/ELT Pipelines
Dimensional Modeling
Data Governance
CI/CD
Data Observability
Orchestration
Performance Tuning
Technical Leadership
Cloud-native Infrastructure
Multi-tenant SaaS Reporting
Data Quality

Benefits

Flexible hybrid working environment
Generous vacation
Trusted sick leave program
RRSP/401K/PF
Share Ownership plans
Company 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
Delta Lake
Unity Catalog
Lakehouse
SaaS
ETL
ELT
Dimensional Modeling
CI/CD
Data Governance
Data Lineage
Distributed Compute
AI/ML
Generative AI
Event-driven Architecture
Streaming
Cloud-native
Containerization
Data Observability
Semantic Analytics
Multi-tenancy
Orchestration
Performance Tuning
Data Products
Retail Management System
Point-of-Sale
Telecom
Software Engineering
Data Engineering

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