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Added 3 months ago
F
Senior Director, Strategic Programs
Financeit
Toronto, Ontario
- $150,000 to $175,000 CAD / year
- Full-time
Proven track record of structuring ambiguous business problems, managing complex data architectures, and leveraging tools like SQL, Python, Tableau, Power BI, Looker, etc. to drive…
Added 3 months ago
Intern - Credit Risk
EQ Bank | Canada's Challenger Bank
Toronto, ON
3M to 1 yr of exposure to Microsoft SharePoint and Microsoft PowerShell, Microsoft Power Automate, Python, and/or SQL.
Added 3 months ago
K
Senior Data Solutions Consultant
Klick
Toronto, ON
- Full-time
The Senior Data Solutions Consultant partners with cross-functional teams to design, build, and optimize scalable data solutions that support omnichannel marketing, analytics, and…
Added 2 months ago
Developer, Python
Dollarama
Mont-Royal, QC
The Python backend developer will join the Mobile team, which is responsible for the development and support of iOS mobile applications used for in-store operations. The developer will work…
Added 3 months ago
Sr Economist
Government of Alberta
Edmonton, AB
Experience in economic and econometric analysis using statistical programming software (R, SAS, SQL, Python, Oracle)
Added 3 months ago
P
Manager Software Engineering
PointClickCare
Mississauga, Ontario
- $152,000 to $174,000 CAD / year
- Full-time
Strong background in Java, Python, Spring, SQL, and web technologies
Added 3 months ago
CG
Senior Specialist, Cloud and Infrastructure
Centerra Gold Inc.
Vancouver, British Columbia
- Full-time
Support enterprise data integration and analytics platforms, including Microsoft Fabric, Power BI, Power Apps, Azure Data Factory, Azure SQL and related Azure data services and AI-driven…
Added 3 months ago
ES
Advanced Data Analyst - EA SPORTS™ FC
EA SPORTS
Vancouver, British Columbia
- Full-time
Write and maintain complex SQL and scripting workflows to extract, transform, and validate large-scale telemetry datasets
Added 3 months ago
TH
Data Engineer II, Tim Hortons, Canada
Tim Hortons
Toronto, Ontario
- Full-time
We are looking for a skilled Data Engineer with 2+ years of hands-on experience in building and maintaining scalable data pipelines and data platforms. The ideal candidate should have hands…
Added 3 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 USD / year
- Full-time
Experience with relational databases (PostgreSQL, MySQL, Oracle) and writing efficient SQL queries, schema design, and performance optimization
Added 3 months ago
F
Staff Back End Engineer (Data Platform)
Forma.ai
Remote, Canada
- Full-time
- Remote
Strong foundation in relational schema design, data modelling, and SQL.
Added 3 months ago
S
Senior Software Engineer, Notebooks
Snowflake
Ontario · Ontario, Canada
- 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 3 months ago
C
Apps Dev Intmd Programmer Analyst
Citi
Mississauga, ON
- Full-time
Expert-level SQL and strong scripting skills in Python .
Added 3 months ago
LC
System Analyst, AI
Linamar Corporation
Guelph, ON
- Full-time
Programming and data skills in Python and SQL, with understanding of AI concepts such as LLMs, RAG, AI agents, data workflows, and tool use.
Added 4 months ago
KS
Full Stack Developer
Kumaran Systems
Toronto, ON
- Full-time
Seeking a talented and motivated Full Stack Developer to join our technology team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web…
Added 2 months ago
Senior Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
Strong experience with data engineering technologies, including ETL pipelines, Python, SQL, and relational databases
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Regina, Saskatchewan
- 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
C
Senior QA Data Quality Engineer
Cognizant
Halifax, Nova Scotia
- Full-time
Overall 6-10 years of experience in Python, Javascript, SQL and Unix testing platform, code reviews prior to code deployments, integration test automation.
Added 4 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 4 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 4 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 4 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 USD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 4 months ago
AS
Associate Software Engineer / Software Engineer
Applied Systems Canada
Toronto, Ontario
- Full-time
…shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built…
Added 4 months ago
NE
Junior Settlements Data Analyst
Nexus Energy Inc.
Toronto, Ontario
- $60,000 to $70,000 CAD / year
- Full-time
Strong working knowledge of SQL for data extraction, querying, and analysis; experience with Python, VBA, Power BI, and database systems is considered an asset. Experience supporting…
Added 4 months ago
KS
Full Stack Developer
Kumaran Systems
Toronto, Ontario
- Full-time
Seeking a talented and motivated Full Stack Developer to join our technology team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web…

iQmetrix

Senior Data Engineer

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

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
Retail Management
Data Products
Event-Driven
Streaming
Near-Real-Time
Data Pipelines
Data Governance
Metadata
Feature Preparation
Label Definition
Model Training
Evaluation Workflows
Cost Optimization

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