Full-time jobs in Canada (377,042 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

377,042 listings · 47,183 employers Counted Nov 9, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,945 listings), Health Match BC (3,925 listings), Walmart (2,909 listings).

Common roles: Project manager, Sales representative, Cook.

66,452 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	38,896
CAD / year	80,000.00	25,235
CAD / month	5,289.00	688
USD / year	127,500.00	222
CAD / week	1,508.50	76
CAD / day	360.00	44
USD / hour	22.00	28
GBP / year	40,000.00	13
EUR / year	68,000.00	11
USD / month	4,000.00	11

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.

Workplace classifications: 1% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Highspring

Senior Data engineer

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 23, 2026
Experience: 5+ years of experience in Data Engineering, Data Integration, or Cloud Data Platform development.
Posting language: English
Posted: Nov 9, 2026

Original job description

About Highspring

Highspring partners with organizations undergoing large-scale digital transformation initiatives, helping them modernize technology platforms and maximize the value of their data through innovative, business-driven solutions.

The Opportunity

We are seeking an experienced Data Engineer to design, build, and support scalable data solutions leveraging Microsoft Azure and Microsoft Fabric. In this role, you will work closely with architects, analysts, data scientists, and business stakeholders to deliver reliable data ingestion, integration, storage, transformation, and analytics capabilities in a high-volume environment.

What You'll Do

Design, develop, test, deploy, and maintain scalable batch and real-time data pipelines.
Build data ingestion and transformation workflows using Azure Data Factory, Microsoft Fabric Data Factory, Azure Databricks, Python, PySpark, and SQL.
Implement Lakehouse, Data Lake, and Data Warehouse solutions using OneLake, Azure Data Lake Storage, Fabric Lakehouse, Fabric Warehouse, and Azure Synapse Analytics.
Develop reusable data models, APIs, transformation frameworks, and integration components.
Optimize pipelines, Spark workloads, queries, storage formats, and compute resources for performance, reliability, and cost efficiency.
Implement data quality controls, monitoring, alerting, logging, lineage, and error-handling processes.
Support streaming and event-driven solutions using Event Hubs, Service Bus, Fabric Real-Time Intelligence, and related technologies.
Apply security, governance, privacy, access control, and data retention standards across the platform.
Build and maintain CI/CD pipelines using Azure DevOps and Git.
Collaborate with cross-functional teams to deliver production-ready data solutions.
Troubleshoot production issues, perform root-cause analysis, and drive continuous improvements.
Maintain technical documentation, data mappings, operational procedures, and solution diagrams.

What You'll Bring

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related field.
5+ years of experience in Data Engineering, Data Integration, or Cloud Data Platform development.
Strong hands-on experience building large-scale data platforms on Microsoft Azure.
Practical experience with Microsoft Fabric, including OneLake, Lakehouse, Data Factory, Spark, Notebooks, Data Warehouse, Real-Time Intelligence, Semantic Models, and Power BI integration.
Advanced proficiency in Python or PySpark and strong SQL skills.
Experience with Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL.
Strong understanding of ETL/ELT processes, dimensional modeling, data warehousing, Lakehouse architecture, Delta Lake, APIs, and batch/streaming data processing.
Experience with Git, Azure DevOps, automated testing, CI/CD, and release management practices.
Knowledge of data security, governance, lineage, observability, and monitoring concepts.
Excellent analytical, problem-solving, collaboration, and communication skills.

Additional Assets

Experience delivering cloud data platform modernization, migration, or transformation initiatives.
Knowledge of Medallion Architecture, Data Mesh, metadata-driven pipelines, and reusable engineering frameworks.
Experience with Infrastructure as Code using Terraform, Bicep, or ARM Templates.
Familiarity with containerization, orchestration, DevOps, and DataOps practices.
Experience working within regulated, enterprise-scale, or mission-critical environments.
Relevant certifications such as:
Microsoft Certified: Fabric Data Engineer Associate
Microsoft Certified: Azure Data Engineer Associate

Apply About employer

More about this job

Responsibilities

Design, build, deploy, and maintain scalable batch and real-time data pipelines and cloud data solutions using Azure and Microsoft Fabric. Optimize and monitor data platforms, implement security and governance controls, troubleshoot production issues, and collaborate with cross-functional teams to deliver reliable solutions.

Requirements

Requires a bachelor's degree in a relevant field and at least five years of experience in data engineering, data integration, or cloud data platform development. Candidates should have strong hands-on Azure and Microsoft Fabric experience, advanced Python or PySpark and SQL skills, and knowledge of data architecture, CI/CD, security, governance, and monitoring.

Skills

Microsoft Azure
Microsoft Fabric
Python
PySpark
SQL
Azure Data Factory
Azure Databricks
Azure Data Lake Storage
Azure Synapse Analytics
Data Pipeline Development
ETL/ELT
Lakehouse Architecture
Data Warehousing
Delta Lake
CI/CD
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Microsoft Fabric
OneLake
Azure Data Factory
Fabric Data Factory
Azure Databricks
Python
PySpark
SQL
Azure Data Lake Storage
Azure Synapse Analytics
Azure SQL
Lakehouse
Data Lake
Data Warehouse
Delta Lake
ETL/ELT
Dimensional Modeling
Batch Processing
Streaming Data Processing
Event Hubs
Service Bus
Real-Time Intelligence
Power BI
Azure DevOps
Git
CI/CD
Data Governance
Data Lineage
Terraform

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