Jobs in Ontario

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

203,839 listings · 20,986 employers Counted Nov 5, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,181 listings), Shoppers Drug Mart (4,003 listings), Walmart Canada (3,356 listings).

Common roles: Retail sales associate, Practical nurse, Registered nurse.

33,239 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	23.00	17,813
CAD / year	80,000.00	14,081
USD / year	155,000.00	84
CAD / month	4,500.00	63
CAD / week	1,500.00	40
CAD / day	101.00	23
USD / hour	19.50	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, 17% 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

Jobs in Ontario

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Added 30 mins ago
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DISPATCHER / CSR (Contract)
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Belleville, ON
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Flight Centre - QA Engineer - Toronto, ON
Flight Centre
ON
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Toronto, ON
- Full-time
Added 45 mins ago
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Personal Banking Associate Trainee
TD
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- Full-time

Prodigy Systems Inc.

Data Engineer

Toronto, ON, Canada

$90,000 to $100,000 CAD / year · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $90,000 to $100,000 CAD / year
Job type: Contract
Apply by: Dec 5, 2026
Experience: Minimum 3 years' experience in Data Engineering, Data Analysis, Data Architecture or a closely related discipline.
Posting language: English
Posted: Nov 5, 2026

Original job description

We are looking for a Data Engineer for a 1 year contract with the intention of converting to full time permanent. Role is hybrid with 2 days a week on site in Downtown Toronto.

Key Responsibilities

Work collaboratively with technology teams and data stakeholders to understand available data sources and business requirements.
Analyse, interpret and extract relevant information from large and complex datasets.
Design and develop targeted data solutions, including data models, pipelines and reporting outputs.
Build and implement data solutions from the ground up, ensuring they align with business objectives and compliance requirements.
Utilise Databricks and programming languages such as Python, SQL or Java to develop and optimise data processes.
Create and support reporting solutions and data visualisations using Power BI or similar tools.
Translate complex technical data into meaningful, accessible outputs for business and compliance teams.
Contribute to the overall data architecture and solution design, ensuring solutions are efficient, scalable and fit for purpose.

Essential Requirements

Minimum 3 years' experience in Data Engineering, Data Analysis, Data Architecture or a closely related discipline.
Strong hands-on experience with Databricks and the ability to develop using Python, SQL, Java or similar programming languages.
Experience with Power BI or an equivalent business intelligence and reporting platform.
Proven ability to analyse complex datasets and design effective data solutions.
Experience taking business requirements and independently developing solutions from initial concept through to implementation.
Understanding of data modelling, solution design and foundational data architecture principles.
Previous experience within the financial services industry.

Desirable Experience

Previous involvement in developing data solutions to support banking or financial services compliance initiatives.
Experience working with regulatory, risk or compliance-related datasets.
Understanding of banking data structures, regulatory reporting or financial services data requirements.

Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.

Apply About employer

More about this job

Responsibilities

Collaborate with technology teams and business stakeholders to analyze complex datasets and develop scalable data models, pipelines, reporting, and visualization solutions. Build and optimize solutions using Databricks and programming languages such as Python, SQL, or Java, ensuring they meet business objectives and compliance requirements.

Requirements

Requires at least three years of experience in data engineering, data analysis, data architecture, or a related field, with hands-on Databricks and programming experience and familiarity with Power BI or an equivalent platform. Candidates should be able to independently develop data solutions from requirements through implementation, understand data modeling and architecture principles, and have financial services experience.

Skills

Databricks
Python
SQL
Java
Power BI
Data Engineering
Data Analysis
Data Architecture
Data Modeling
Data Pipeline Development
Business Intelligence
Data Visualization
Solution Design
Financial Services
Regulatory Compliance
Requirements Analysis

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Analysis
Data Architecture
Databricks
Python
SQL
Java
Power BI
Business Intelligence
Data Visualization
Data Modeling
Data Pipelines
Complex Datasets
Solution Design
Data Architecture Principles
Financial Services
Banking
Compliance
Regulatory Data
Risk Data
Regulatory Reporting
Business Requirements
Scalable Solutions
Reporting Outputs

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