Jobs in Canada

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Added 3 months ago
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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
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Staff Back End Engineer (Data Platform)
Forma.ai
Remote, Canada
- Full-time
- Remote
As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints…
Added 3 months ago
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Senior Software Engineer, Notebooks
Snowflake
Ontario · Ontario, Canada
- Full-time
…who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.…
Added 2 months ago
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Apps Dev Intmd Programmer Analyst
Citi
Mississauga, ON
- Full-time
Expert-level SQL and strong scripting skills in Python .
Added 2 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 3 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 1 month 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 3 months ago
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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 3 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 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
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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 3 months ago
AS
Associate Software Engineer / Software Engineer
Applied Systems Canada
Toronto, Ontario
- Full-time
…built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we’re not just redefining what’s achievable; we’re creating a place where…
Added 3 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 3 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…
Added 2 months ago
TA
Senior Data Scientist - Operation Research
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
Added 1 month ago
M
Senior Data Engineer
Morningstar
Toronto, ON
- Full-time
Manage SQL scripts, Python code, and Snowflake objects in a structured and maintainable way.
Added 2 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
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 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
Operations Automation Engineer
Forma.ai
Toronto, Ontario
- $100,000 to $120,000 CAD / year
- Full-time
…help our Customer Operations and Customer Delivery teams scale with greater speed, consistency, and…
Added 2 months ago
Senior Data Scientist
Wenco (a Hitachi Construction Machinery subsidiary)
Richmond, BC
Experience with big data technologies (e.g., Hadoop, Spark, Snowflake) and databases (SQL, NoSQL).
Added 2 months ago
TG
Business Systems Analyst
TMX Group
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
Technical Stack: Proficiency in SQL and Python. Hands-on experience with modern data environments including Snowflake, AWS, and Spark.

iQmetrix

Senior Data Engineer

Toronto, ON, 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 also required.

Skills

Python
SQL
Data Engineering
Data Modeling
ETL
Cloud-Native
Lakehouse
Data Governance
Observability
Performance Tuning
Data Quality
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 Governance
Observability
Performance Tuning
Data Quality
Mentoring
Distributed Compute
Orchestration
SaaS
Telecom
Retail Management
Data Pipelines
Operational Workflows
Event-Driven
Streaming Data
Data Products
Data Lifecycle
Data Structures
Multi-Tenant
Dimensional Modeling
Semantic Analytics
Governed Access

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