Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

110,276 listings · 11,935 employers Counted Sep 18, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (2,163 listings), Walmart Canada (1,895 listings), Walmart (1,786 listings).

Common roles: Retail sales associate, Project manager, Sales representative.

14,910 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 / year	80,000.00	7,636
CAD / hour	22.00	5,498
USD / year	99,050.00	602
USD / hour	19.50	372
CAD / month	6,528.30	27
CAD / week	987.50	20
GBP / hour	35.00	15

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: 0% remote, 20% hybrid, 80% 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

Jobs in Ontario

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Added 1 hour ago
Plasma Operator
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Toronto, ON
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Kenora, ON
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Part-Time Sales Associate - Browns Toronto Premium Outlet
Browns Shoes
Halton Hills, ON
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Halton Hills, ON
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Halton Hills, ON
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Full-time · Contract

LanceSoft, Inc.

Data Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 18, 2026

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

The Data Engineer will design, develop, and maintain enterprise data pipelines, data warehouses, and data lakes. They are responsible for implementing data quality processes and converting business requirements into technical specifications.

Requirements

Candidates must have 5+ years of experience in database development or data engineering for enterprise-level solutions. Proficiency in SSIS, Azure Data Factory, Azure Synapse, and SQL Server is mandatory.

Experience

5 to 10 years

Education

bachelor degree

Working hours

40 hours per week

Work arrangement

Hybrid

Days in the office

Skills

Data Engineering
SSIS
Azure Data Factory
Azure Synapse
SQL Server
T-SQL
Data Warehousing
Data Modelling
CI/CD
Azure DevOps
Data Integration
Data Quality
Business Intelligence
Data Lakes
Power BI

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SSIS
Azure Data Factory
Azure Synapse
SQL Server
T-SQL
Data Warehouse
Data Lake
Data Modelling
CI/CD
Azure DevOps
Business Intelligence
Data Quality
Data Cleansing
Power BI
Stored Procedures
Data Integration
Enterprise Data
Automation
Technical Specifications

Original job description

Description of Assignment:

Data Engineer will be responsible for supporting and developing data pipelines, analytics ready data sets and business intelligence solution(s).

Data Engineer will follow TTC design & development methodologies and documentation standards.

Hybrid work environment according to office policy. Currently at Union Station (61 Front St W, Toronto) with minimum 2 days on site.

Qualifications:

Mandatory Requirements
5+ years of experience in:
Database development or data engineering for enterprise level solutions

Hands-on experience working with:

SSIS and/or Microsoft Azure Data Factory (ADF) and other related Azure Services
Microsoft Azure Synapse and/or SQL Data Warehouse and SQL Server 2016 or later.
CI/CD pipelines (Azure DevOps)

Other Certifications / Skills:

A university degree in Computer Science, or the equivalent, combined with directly related experience in a business or computer related discipline.
Optimize, analyze and improve data integration packages
Expert understanding and enterprise scale experience working with Data Warehouse (DW) and Business Intelligence (BI) implementations
Strong understanding of data modelling techniques and data warehouse/data lake design
Experience with data quality, data cleansing and data stewardship processes and techniques
Ability to solve complex data problems by analysis, develop appropriate solutions and clearly communicate those solutions to the team.
Ability to work efficiently and provide accurate time estimates for work to be undertaken.
Well-developed interpersonal, oral and written communication skills, strong analytical and problem-solving skills.
Developing Microsoft Power BI reports or other data visualization tools is an asset

Assignment Duties:

Work with the Enterprise Data project team in designing, developing and maintaining the TTC enterprise data warehouse, data marts, data lakes
Responsible for designing, developing, supporting, and documenting SSIS and/or Azure Data Factory (ADF) packages to integrate data from multiple systems
Responsible for designing, developing and documenting complex T-SQL, stored procedures, views, triggers, indexes, etc.
Responsible for designing and implementing data quality processes
Assist in the data modelling of the data warehouse/data mart/data lake solution(s)
Advanced data analysis to provide meaningful data driven insights
Work closely with the business analyst(s), and other team members, to understand requirements
Convert business requirements to technical specifications.
Perform knowledge transfer meetings and sessions.
Research, propose, document, and share technical solutions with the team.
Recommend and implement improvements to data quality, automation, and workflows
Provide accurate time estimates for work to be undertaken

Deliverables:

Detailed technical design and functional specifications.
Completed system components 'unit tested' and ready for System, QA and User Acceptance testing.
Technical support during the various stages of testing (system integration, QA, User Acceptance)
Implementation preparation.
Technical documentation
Post implementation support
Status Reports

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