Jobs in Toronto, ON and nearby

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

52,325 listings · 7,299 employers Counted Oct 8, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (776 listings), Shoppers Drug Mart (747 listings), Scotiabank (570 listings).

Common roles: Software engineer, Retail sales associate, Project manager.

7,771 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	85,000.00	4,793
CAD / hour	23.61	2,177
USD / year	110,000.00	396
USD / hour	20.15	110
GBP / hour	35.00	14
CAD / month	4,054.00	12
CAD / week	1,125.00	12

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, 29% hybrid, 70% 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 Toronto, ON and nearby

Within 25 km

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Added 4 hours ago
KS
Sales Associate I
kate spade new york
Vaughan, ON
- Full-time
Added 4 hours ago
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Cashier III
kate spade new york
Vaughan, ON
- Part-time
Added 4 hours ago
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Sales Associate III-9
kate spade new york
Toronto, ON
- Part-time
Added 4 hours ago
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Sales Associate III
kate spade new york
Toronto, ON
- Part-time
Added 4 hours ago
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Supervisor I
kate spade new york
Mississauga, ON
- Full-time
Added 4 hours ago
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Sales Support Associate III
kate spade new york
Toronto, ON
- Part-time
Added 4 hours ago
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Temporary Sales Support Associate
kate spade new york
Toronto, ON
- Part-time
Added 4 hours ago
KS
Temporary Sales Associate
kate spade new york
Toronto, ON
- Part-time
Added 4 hours ago
KS
Lead Supervisor I
kate spade new york
Toronto, ON
- Full-time
Added 4 hours ago
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Temporary Associate
kate spade new york
Toronto, ON
- Part-time
Added 4 hours ago
KS
Temporary Sales Associate
kate spade new york
Mississauga, ON
- Part-time
Added 4 hours ago
KS
Temporary Sales Support Associate
kate spade new york
Mississauga, ON
- Part-time
Added 4 hours ago
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Temporary Associate
kate spade new york
Mississauga, ON · Toronto, ON
- Part-time
Added 4 hours ago
KS
Acting Store Leader
kate spade new york
Mississauga, ON
- Full-time
Added 4 hours ago
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Temporary Associate
kate spade new york
Mississauga, ON
- Part-time
Added 4 hours ago
KS
Cashier II
kate spade new york
Toronto, ON
- Part-time
Added 4 hours ago
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Sales Associate II
kate spade new york
Toronto, ON
- Part-time
Added 4 hours ago
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Lead Cashier I
kate spade new york
Toronto, ON
- Full-time
Added 4 hours ago
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Temporary Support Associate
kate spade new york
Vaughan, ON
- Part-time
Added 4 hours ago
KS
Temporary Sales Associate
kate spade new york
Vaughan, ON
- Part-time
Added 4 hours ago
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Lead Supervisor I
kate spade new york
Vaughan, ON
- Full-time
Added 4 hours ago
Consultant Technologist
Health Standards Organization
Toronto, ON
Added 4 hours ago
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Temporary Sales Associate
kate spade new york
Markham, ON
- Part-time
Added 4 hours ago
KS
Temporary Sales Support Associate
kate spade new york
Markham, ON
- Part-time
Added 4 hours ago
ZC
Front Office Administrator
Zenetec Collision
Thornhill, ON
- Full-time

Closed listing

Kelly

Senior Data Engineer – Modeling / Python / PySpark

Mississauga, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Contract
Closing date: Nov 5, 2026
Experience: 8+ years of experience in Data Engineering or a closely related field.
Posting language: English
Posted: Oct 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

Initially remote but then onsite from Mississauga, ON.

ONSITE INTERVIEW MUST

We are seeking a Senior Data Engineer to design, develop, and implement scalable data solutions and processing pipelines. The ideal candidate will have strong hands-on experience in data modeling, SQL, Python, and PySpark/Spark, with the ability to work closely with development, application, and business teams to translate data requirements into effective technical solutions.

Key Responsibilities

Design and develop scalable data solutions, pipelines, and data processing frameworks.
Create and maintain logical and physical data models in collaboration with developers and technical stakeholders.
Translate business and application requirements into effective data models and data structures.
Develop and implement data processing solutions using Python and PySpark/Spark.
Write and optimize complex SQL queries for data processing and analysis.
Implement data solutions across data warehouses and data lakes.
Optimize data processing performance, data quality, and reliability.
Collaborate with application, development, and business teams to understand data requirements and deliver scalable solutions.
Support data initiatives related to analytics, Artificial Intelligence, and Machine Learning.
Contribute to data governance, quality, and best practices across data solutions.

Required Qualifications & Skills

8+ years of experience in Data Engineering or a closely related field.
Strong hands-on experience with Data Modeling, including logical and physical data models.
Strong SQL development and optimization skills.
Hands-on Python development experience.
Strong hands-on experience with PySpark/Spark, including data processing and pipeline development.
Experience working with Data Warehouses and/or Data Lakes.
Strong understanding of data engineering concepts, data processing, and scalable data solutions.
Ability to collaborate effectively with technical and business stakeholders.

Preferred Qualifications

Experience with Generative AI (GenAI) or Machine Learning initiatives.
Exposure to or hands-on experience with Google ADK.
Experience with cloud platforms such as GCP, AWS, or Azure.
Experience with ETL/ELT frameworks and modern data engineering technologies.
Previous experience in the Banking or Financial Services industry is highly preferred.

About employer

More about this job

Responsibilities

Design and build scalable data solutions, pipelines, and processing frameworks, including logical and physical data models, using Python, PySpark/Spark, and optimized SQL. Collaborate with technical and business teams to deliver data warehouse and data lake solutions, improve performance and quality, support analytics and AI/ML initiatives, and contribute to data governance practices.

Requirements

Requires 8 or more years of data engineering experience, with hands-on expertise in data modeling, SQL, Python, and PySpark/Spark. Candidates should understand data warehouses or data lakes and scalable data processing, and be able to collaborate with technical and business stakeholders; cloud, ETL/ELT, GenAI or ML, Google ADK, and banking experience are preferred.

Skills

Data Modeling
SQL
Python
PySpark
Apache Spark
Data Engineering
Data Pipelines
Data Warehousing
Data Lakes
ETL/ELT
Data Processing
Data Quality
Data Governance
Generative AI
Machine Learning
Google ADK

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Modeling
Logical Data Models
Physical Data Models
SQL
Python
PySpark
Apache Spark
Data Pipelines
Data Processing Frameworks
Data Warehouses
Data Lakes
ETL/ELT
Data Quality
Data Governance
Analytics
Artificial Intelligence
Machine Learning
Generative AI
Google ADK
GCP
AWS
Azure
Banking
Financial Services

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