Data engineer jobs in Toronto, ON and nearby

Data engineer jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 426
Employers: 216

Advertised starting pay

Average starting payCAD / year: $99,363Across 32 listings
Average starting payCAD / hour: $63.50Across 24 listings
Average starting payUSD / year: $109,286Across 14 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 43%184 listings
On-site: 56%238 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), J&M Group (11).

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 Toronto, ON and nearby

Within 25 km

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Added 12 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 12 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 12 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 12 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 12 days ago
LI
DataOps/Cloud Data Engineer
Lotus IT Solutions
Toronto, ON
- 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 12 days ago
PT
Senior Data Engineer – Capital Markets
Precision Technologies
Mississauga, ON
- Contract
Hiring: Senior Data Engineer – Capital Markets
Added 12 days ago
C
Sr Cloud Data Engineer
CIBC
Toronto, ON
- Full-time
Added 12 days ago
TI
Data Engineer
Tekgence Inc
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology
Added 12 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
Added 13 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 13 days ago
MI
DataOps/Cloud Data Engineer - Senior
Maarut Inc
Toronto, ON
- Contract
Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent.
Added 13 days ago
EC
Data Engineer
Experis Canada
Toronto, ON
- Contract
- Azure Data Lake Storage (ADLS) and Azure Data Factory (ADF).
Added 13 days ago
AS
Senior Data Engineer
Ardent SoftSol Inc.
Toronto, ON
- Contract
Senior Data Engineer - Databricks, Microsoft Fabric:
Added 13 days ago
IS
AWS Data Engineer (CDK
Iris Software Inc.
Toronto, ON
- Full-time
…and financial services corporation is looking to hire an AWS Data Engineer (CDK) Our direct client is a is a world-leading financial services company, provides consumers, corporations,…
Added 13 days ago
IS
Data Engineer
Iris Software Inc.
Toronto, ON
- Contract
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a AWS Data Engineer (CDK) for a long term opportunity at Remote.
Added 13 days ago
TI
Senior Cloud Data Engineer
Teckhorizon Inc
Toronto, ON
- Full-time
The client is seeking a Senior DataOps / Cloud Data Engineer to design, develop, implement, and maintain scalable cloud-based data platforms, pipelines, and integration services. The…
Added 13 days ago
AI
AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
AWS Data Engineer – Banking / Financial Services
Added 13 days ago
ES
Data Engineer - DBT Cloud
Enterprise Solutions Inc.
Markham, ON
- Contract
Extensive Experience 7 years of professional experience delivering over 10 high impact data projects from inception through warranty 5 years of Snowflake dbtCoreCloud and AWS Cloud…
Added 13 days ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Toronto, ON
- Full-time
Added 13 days ago
SM
RQ11486 – 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 designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 13 days ago
SM
RQ11486 – 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 designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 13 days ago
SM
RQ11486 – 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 designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 13 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 13 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 13 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…

ProxyLink

DataOps/Cloud Data Engineer

Toronto, ON, Canada

$95 to $100 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $95 to $100 CAD / hour
Job type: Contract
Apply by: Nov 20, 2026
Posting language: English
Posted: Oct 21, 2026

Original job description

About ProxyLink

At ProxyLink, we specialize in building meaningful connections between exceptional talent and leading employers across Canada. As a trusted recruitment partner, our mission is to create impactful career matches by combining innovative hiring strategies with a personalized, people-first approach. We’re driven by the belief that investing in people today builds a stronger workforce for tomorrow.

ProxyLink is working with a client hiring for an experienced Data Engineer to design, develop, implement, and optimize cloud-based data platforms, data pipelines, and integration solutions.

The ideal candidate will have strong hands-on experience with modern data engineering technologies, cloud data services, ETL/ELT processes, data migration, and DataOps practices.

This role will focus on building scalable and secure data solutions, automating data workflows, improving data quality, and enabling efficient data exchange across enterprise platforms.

Work Arrangement: Onsite, five days per week, Monday to Friday.

Key Responsibilities

Design, develop, and maintain scalable data pipelines from source systems to end users.
Optimize data pipelines for performance, reliability, scalability, and cost efficiency.
Develop and support cloud-based data platforms, integration services, and reusable data solutions.
Implement ETL/ELT processes, workflow orchestration, deployment automation, and data provisioning.
Support cloud data platform implementation, configuration, and operational maintenance.
Design and implement data warehouses, data lakes, and data lakehouses.
Develop and maintain data models, including fact and dimension models, data mappings, and common data models.
Support the collection, ingestion, transformation, synchronization, and exchange of structured, semi-structured, and unstructured data.
Implement automated metadata collection, synchronization, data lineage, and data quality processes.
Apply DataOps principles and practices to improve development, deployment, testing, monitoring, and operational support.
Develop and maintain CI/CD pipelines and automated data provisioning processes.
Support large-scale data migration and modernization initiatives involving OLTP and OLAP environments and cloud-based platforms.
Develop integration solutions using APIs, event-driven architectures, batch processing, and streaming technologies.
Implement data governance, security, metadata management, and operational best practices.
Collaborate with architects, data modelers, and governance teams to implement data standards and enterprise data models.
Monitor, troubleshoot, and resolve complex technical issues affecting data pipelines and cloud data services.
Identify opportunities to automate data movement, metadata management, and operational workflows.

Required Skills and Experience

Cloud Data Engineering & Platform Development

Demonstrated experience designing, implementing, and supporting cloud-based data platforms and services.
Experience developing scalable ETL/ELT processes, data pipelines, and data integration solutions.
Strong understanding of cloud-native data engineering and modern data platform architectures.
Experience managing cloud data services, including storage, repositories, data lakes, data lakehouses, key vaults, virtual machines, and disks.
Experience supporting cloud modernization and data migration initiatives.
Knowledge of data storage, cloud data services, and enterprise data management technologies.

DataOps, Automation & CI/CD

Experience implementing DataOps practices, including automated deployment, testing, monitoring, and operational support.
Hands-on experience with Continuous Integration and Continuous Delivery/Deployment (CI/CD).
Experience automating data provisioning, metadata collection, data movement, and workflow orchestration.
Knowledge of Agile development and deployment methodologies.
Experience with DataOps performance monitoring, troubleshooting, and tuning.

Data Architecture, Modeling & Integration

Experience designing and implementing enterprise data warehouses, data lakes, and data lakehouses.
Knowledge of fact and dimension modeling, data mapping, and common data models.
Experience integrating structured, semi-structured, and unstructured data sources.
Experience with APIs, event-driven architectures, batch processing, and streaming technologies.
Knowledge of metadata management, data lineage, data quality, and data governance.
Experience operationalizing metadata repositories and enterprise data standards.
Understanding of data interoperability, data exchange, and reusable data services.

Data Migration, Security & Performance

Experience supporting large-scale data migration and conversion initiatives across OLTP and OLAP environments.
Knowledge of cloud service models, including SaaS, PaaS, and IaaS.
Experience implementing data security, governance, and access management practices.
Strong understanding of cloud data platform performance optimization, scalability, and reliability.
Ability to troubleshoot complex technical issues and develop practical, sustainable solutions.

Communication & Collaboration

Excellent analytical, problem-solving, and decision-making skills.
Strong written and verbal communication and presentation skills.
Effective interpersonal, collaboration, and negotiation skills.
Ability to work effectively with cross-functional technical teams.
Strong organizational skills and a demonstrated ability to meet deadlines and adapt to changing priorities.

Technical Environment

Candidates should have experience with the following technologies and capabilities:

Databricks
Delta Lake
Databricks SQL
Microsoft Azure Data Services
Azure Data Factory
Informatica or equivalent data integration platforms
Common data models and metadata repositories
Cloud data warehouses, data lakes, and data lakehouses
CI/CD and DataOps automation

Must-Have Qualifications

Hands-on experience with Databricks, Delta Lake, and Databricks SQL.
Knowledge of Medallion Architecture.
Experience with Azure Data Services and Azure Data Factory.
Experience with Informatica or equivalent integration platforms.
Experience operationalizing common data models and metadata repositories.

Expected Deliverables

Developed and optimized data pipelines and integration services.
Automated metadata collection and synchronization processes.
Implemented and configured cloud data platforms.
Enabled data quality, metadata management, and data lineage capabilities.
Implemented CI/CD and DataOps automation.
Delivered data migration and interoperability solutions.
Developed cloud-hosted data products and reusable data services.
Integrated metadata and data governance platforms.

Apply About employer

More about this job

Responsibilities

Design, build, and optimize secure, scalable cloud data platforms, pipelines, integration services, and data products, including data warehouses, lakes, and lakehouses. Automate DataOps, CI/CD, metadata, data quality, and governance processes while supporting migrations, interoperability, monitoring, and troubleshooting.

Requirements

Candidates need hands-on experience with Databricks, Delta Lake, Databricks SQL, Azure Data Services, Azure Data Factory, and Informatica or an equivalent integration platform. They should also have experience with DataOps and CI/CD, cloud data architecture, data modeling and governance, metadata repositories, data migration, and strong collaboration and problem-solving skills.

Skills

Databricks
Delta Lake
Databricks SQL
Microsoft Azure Data Services
Azure Data Factory
Informatica
ETL/ELT
DataOps
CI/CD
Data Pipeline Development
Data Migration
Data Modeling
Metadata Management
Data Governance
Cloud Data Architecture
Data Integration

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Lake
Databricks SQL
Microsoft Azure Data Services
Azure Data Factory
Informatica
ETL/ELT
DataOps
CI/CD
Medallion Architecture
Cloud Data Platforms
Data Pipelines
Data Warehouses
Data Lakes
Data Lakehouses
Fact And Dimension Modeling
Common Data Models
Metadata Repositories
Data Lineage
Data Quality
Data Governance
Data Migration
OLTP
OLAP
APIs
Event-Driven Architecture
Batch Processing
Streaming
Workflow Orchestration
Cloud Security

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