Data engineer jobs in Canada

Find data engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 5, 2026

Hiring at a glance

View jobs

Open jobs: 804
Employers: 395

Advertised starting pay

Average starting payCAD / year: $103,171Across 89 listings
Average starting payCAD / hour: $63.78Across 36 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 4%33 listings
Hybrid: 39%317 listings
On-site: 56%450 listings

Not specified: <1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), Capgemini (27), J&M Group (15).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Canada

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Added 14 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON · Cambridge, ON
Added 14 days ago
TC
Azure Data Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 14 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Our team is looking for a Data Engineer with extensive hands
Added 14 days ago
A
Data Engineer - (Pyspark & Python)
Apptad
Montreal, QC
- Contract
Job Title: Data Engineer - (Pyspark & Python)
Added 14 days ago
C
Senior Staff Data Engineer
Cohere
Remote, Canada
- $275,000 to $450,000 CAD / year
- Full-time
- Remote
Added 14 days ago
P
DataOps/Cloud Data Engineer
ProxyLink
Toronto, ON
- $95 to $100 CAD / hour
- Contract
ProxyLink is working with a client hiring for an experienced Data Engineer to design,
Added 15 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 15 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 15 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 15 days ago
LI
DataOps/Cloud Data Engineer
Lotus IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
The Ministry of Public and Business Service Delivery and Procurement, through the Government Services Integration Cluster, is seeking a Senior DataOps/Cloud Data Engineer to jo
Added 15 days ago
3
Platform Data Engineer
360insights
Moncton, NB · Whitby, ON
- $93,500 to $108,500 CAD / year
The Data Platform Engineer is a hands-on, mid-level role responsible for building, maintaining, and enhancing 360insights' Microsoft Fabric data platform. Reporting to the Head of Data…
Added 15 days ago
II
Lead Data Engineer
Ipsos in Canada
Vancouver, BC
- Full-time
…organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and…
Added 15 days ago
II
Senior Data Engineer
Ipsos in Canada
Vancouver, BC
- Full-time
…consecutive years, we operate in 90 markets, offer more than 75 data-driven solutions, and serve over 5,000 clients worldwide. Our research, methodological, implementation, and subject…
Added 15 days ago
PT
Senior Data Engineer – Capital Markets
Precision Technologies
Mississauga, ON
- Contract
Hiring: Senior Data Engineer – Capital Markets
Added 15 days ago
AI
GCP Senior Data Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Data Engineering Lead to lead a team of 10 engineers and design, develop, and optimize scalable data engineering solutions on Google Cloud Platform…
Added 15 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with extensive hands
Added 15 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with deep hands-on e
Added 15 days ago
C
Sr Cloud Data Engineer
CIBC
Toronto, ON
- Full-time
Added 15 days ago
PF
Senior Data Engineer - Data Governance & DataOps
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
We have an exciting opportunity for a full-time Senior Data Engineer – Data Governance & DataOps to join our IT team in Langley, BC.
Added 15 days ago
TI
Data Engineer
Tekgence Inc
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology
Added 15 days ago
Senior Data Engineer
Ipsos
Vancouver, BC
…consecutive years, we operate in 90 markets, offer more than 75 data-driven solutions, and serve over 5,000 clients worldwide. Our research, methodological, implementation, and subject…
Added 15 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
Added 15 days ago
LM
Data Engineer - Lahal Casino Management
Lahal Management LP
Coquitlam, BC
- $95,000 to $115,000 CAD / year
- Full-time
Under the direction of the Director, IT systems, this position is responsible for direct development of complex, data pipelines and reporting solutions with extremely low tolerances for…
Added 15 days ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
- Full-time
Petal is looking for an AI-First Data Engineer to join a small platform team building the next generation of our data platform, enabling advanced BI and enabling AI workflows across the…
Added 15 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…

360insights

Platform Data Engineer

Moncton, NB, Canada
Whitby, ON, Canada

$93,500 to $108,500 CAD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $93,500 to $108,500 CAD / year
Experience: 2-5 years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related discipline.
Posting language: English
Posted: Oct 21, 2026

Original job description

About the role

The Data Platform Engineer is a hands-on, mid-level role responsible for building, maintaining, and enhancing 360insights' Microsoft Fabric data platform. Reporting to the Head of Data Platform, this position contributes to the delivery of reliable, scalable analytics solutions that support business reporting, operational insights, and client-facing reporting needs.

The role spans the full data lifecycle, including data ingestion, transformation, pipeline development, platform operations, documentation, Power BI development, and reporting modernization. Working within an AI-assisted engineering environment, the successful candidate will leverage modern development practices, automated workflows, and data platform technologies to improve reporting reliability, efficiency, and scalability.

This role is ideal for someone who enjoys combining technical problem-solving, data engineering, and business intelligence development while taking ownership of assigned data assets and contributing to platform evolution.

What you'll do

Data Engineering & Lakehouse Development

Build and maintain data transformation processes within Microsoft Fabric using PySpark notebooks and Dataflow Gen2.
Develop and support bronze, silver, and gold data models following established architecture and modeling standards.
Implement incremental loading strategies, data quality validations, change data capture (CDC), watermarking, and Delta MERGE patterns.
Analyze and validate transformed data against legacy reporting sources and document findings.

Pipeline Operations & Platform Reliability

Monitor and support data pipelines, lakehouses, semantic models, and platform processes.
Investigate failures, identify root causes, and implement corrective and preventative solutions.
Manage assigned workspace access, gateways, data connections, and related platform configurations.
Monitor platform utilization, identify performance bottlenecks, and recommend improvements.
Maintain platform monitoring and inventory solutions that track operational health and assets.

Reporting & Business Intelligence

Develop and maintain Power BI semantic models, dashboards, and reports.
Create and validate DAX measures using established standards and best practices.
Partner with stakeholders to gather reporting requirements and validate business outcomes.
Develop and support custom internal and client-facing reports using governed Fabric data.
Assist with the migration of legacy SSIS and TeamCity reporting workflows to Microsoft Fabric.
Build and maintain automated report generation and distribution processes.

Documentation & Governance

Maintain accurate documentation for data structures, transformations, and business rules.
Contribute updates through established documentation and review processes.
Ensure schema references, wiki content, and platform documentation remain current and accurate.
Support documentation audits and resolve gaps, inconsistencies, or outdated information.

Continuous Improvement & Collaboration

Participate in design discussions and recommend platform enhancements.
Follow established AI-assisted engineering and review workflows.
Use AI-supported development tools to improve solution quality and productivity while validating outputs independently.
Collaborate with data, reporting, and business stakeholders to support operational and strategic objectives.

What you'll bring

2-5 years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related discipline.
Experience working with modern cloud data platforms such as Microsoft Fabric, Databricks, Synapse, or Snowflake.
Experience building and supporting production data pipelines and data transformation processes.
Experience using Git-based development workflows, including branching, pull requests, and code reviews.
Experience working with AI-assisted development tools and willingness to adopt AI-enabled workflows.

Technical Skills

Strong SQL skills, including:
- Complex joins
- Window functions
- Query optimization and performance analysis
Proficiency in Python and experience with PySpark or similar data transformation frameworks.
Knowledge of data warehousing, data modeling, and ETL/ELT best practices.
Experience implementing:
- Incremental data loads
- Data quality validation
- Change Data Capture (CDC)
- Delta Lake or similar technologies
Power BI development experience, including:
- Semantic modeling
- DAX development
- Report and dashboard creation

Professional Skills

Strong analytical and problem-solving abilities.
Ability to independently investigate issues and validate solutions using evidence and data.
Strong attention to detail and commitment to documentation.
Ability to balance independent ownership with appropriate escalation and collaboration.
Effective communication and stakeholder management skills.
Continuous learning mindset and adaptability to new technologies and ways of working.

Preferred Qualifications

Microsoft DP-600 or DP-700 certification.
Experience with Delta Lake and medallion architecture.
Experience with SQL Server, MySQL, or Amazon Redshift.
Familiarity with Markdown-based documentation or docs-as-code practices.
Experience supporting incentive, rebate, or loyalty program data environments.
Experience with Power BI Paginated Reports, SSIS, TeamCity, custom report generation, or automated report distribution workflows.

AI Fluency

Comfortable using AI-supported development tools to improve productivity and quality.
Able to guide AI tools effectively, review generated outputs critically, identify errors, and validate results independently.

Apply About employer

More about this job

Responsibilities

The Data Platform Engineer will build, maintain, and enhance the Microsoft Fabric data platform by developing scalable data pipelines and transformation processes. They will also manage platform operations, support business intelligence reporting, and ensure data quality through rigorous validation and documentation.

Requirements

Candidates must have 2-5 years of experience in data engineering or business intelligence with proficiency in SQL, Python, and modern cloud data platforms. Strong analytical skills and experience with Power BI, data modeling, and AI-assisted development workflows are essential for this role.

Skills

Microsoft Fabric
PySpark
Data Engineering
SQL
Python
Power BI
Data Modeling
ETL/ELT
Delta Lake
Data Pipelines
DAX
Git
Change Data Capture
Data Quality Validation
Semantic Modeling
Cloud Data Platforms

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
PySpark
Data Engineering
SQL
Python
Power BI
Data Modeling
ETL
ELT
Delta Lake
Data Pipelines
DAX
Git
Change Data Capture
Data Quality
Semantic Modeling
Cloud Data Platforms
Databricks
Synapse
Snowflake
DP-600
DP-700
Medallion Architecture
SQL Server
MySQL
Amazon Redshift
Markdown
SSIS
TeamCity
AI-assisted development

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