Jobs in Ontario

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

200,755 listings · 20,854 employers Counted Nov 4, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,123 listings), Shoppers Drug Mart (3,954 listings), Walmart Canada (3,305 listings).

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

32,850 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	16,942
CAD / year	80,000.00	13,176
USD / year	100,000.00	805
USD / hour	20.00	682
CAD / month	4,638.66	59
CAD / week	1,500.00	40
CAD / day	101.00	23

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 2 hours ago
P
Extrusion Machine Operator
ProAmpac
Whitby, ON
- Full-time
Added 2 hours ago
TD
Utility Tree Trimmer / Bucket Operator
The Davey Tree Expert Company
Pickering, ON
- Full-time
Added 2 hours ago
LC
Senior Analyst, People Technology & Analytics
Loblaw Companies Limited
Brampton, ON
- Full-time
Added 2 hours ago
LC
Salad Bar Clerk Part Time Day
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 2 hours ago
BH
Occupational Therapist
Bayshore HealthCare
Kitchener, ON
- Full-time
Added 2 hours ago
LC
Student Part Time Day Greenlight Requisition
Loblaw Companies Limited
Vaughan, ON
- Part-time
Added 2 hours ago
LC
Produce Clerk Part Time Night
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 2 hours ago
LC
Meat Clerk Part Time Evening
Loblaw Companies Limited
Brantford, ON
- Part-time
Added 2 hours ago
Registered Nurse
Bayshore
Timmins, ON
Added 2 hours ago
Registered Nurse
Bayshore
Elliot Lake, ON
Added 2 hours ago
Registered Practical Nurse
Bayshore
Elliot Lake, ON
Added 2 hours ago
Registered Practical Nurse
Bayshore
Timmins, ON
Added 2 hours ago
Assistant Vice President, Process Excellence
The Canada Life Assurance Company
London, ON · Toronto, ON
Added 2 hours ago
TC
Customer Processing Representative, temporary full-time
The Canada Life Assurance Company
London, ON
- Full-time
Added 2 hours ago
RR
Registered Pharmacy Technician (Part-Time)
Revolution Recruiting
Toronto, ON
- Part-time
Added 2 hours ago
B&
Contract Administrator
Black & McDonald Limited
Toronto, ON
- Full-time
Added 2 hours ago
MU
Key Holder
McCarthy Uniforms
Cambridge, ON
- Full-time
Added 2 hours ago
V
Jr. Infrastructure Sales Representative - GTA
Victaulic
Brampton, ON · Toronto, ON
- Full-time
Added 2 hours ago
V
Energy Sales Representative - GTA
Victaulic
Brampton, ON · Toronto, ON
- Full-time
Added 2 hours ago
TM
Collections Representative
thyssenkrupp Materials NA
Windsor, ON
- Full-time
Added 2 hours ago
WM
Manager II, District - Collection
Waste Management, Inc. (WM)
Brampton, ON
- Full-time
Added 2 hours ago
TT
Manufacturing Supervisor
Teledyne Technologies Incorporated
Waterloo, ON
- Full-time
Added 2 hours ago
TT
Hardware Design Test Coop
Teledyne Technologies Incorporated
Waterloo, ON
- Full-time
Added 2 hours ago
E
Environmental Engineer/Geoscientist/Qualified Person
EXP
Windsor, ON
- Full-time
Added 2 hours ago
SS
Site Manager - $70K - $75K
Securitas Security Services
Ottawa, ON
- Full-time

Altis

Data Analytics Lead

Markham, ON, Canada

$110,000 to $125,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $110,000 to $125,000 CAD / year
Job type: Full-time
Apply by: Dec 4, 2026
Experience: 5+ years of experience as a Data Engineer, ETL Developer, or similar data-focused role.
Posting language: English
Posted: Nov 4, 2026

Original job description

Location: Markham, ON (Hybrid – 3 days on-site)

Language: Strong written and verbal communication skills in English are required.

About the Opportunity

Our client, a well-established organization in the corporate sector, is seeking a Senior Data Engineer / Senior BI / Analytics Engineering Lead to design, build, and optimize scalable data solutions that support business intelligence, reporting, and advanced analytics. This is an exciting opportunity to join a growing team where you'll play a key role in developing reliable data pipelines, improving data quality, and enabling data-driven decision-making across the organization.

This role is ideal for an experienced data engineering professional who enjoys solving complex data challenges, working with large datasets, and building modern data solutions using SQL and Python (Pandas).

What's In It for You

Join a collaborative and innovative team that values continuous improvement
Work on impactful enterprise data initiatives with modern technologies
Opportunity to influence the organization's data architecture and engineering best practices
Hybrid work environment with opportunities for professional growth and career advancement

Your Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and deliver high-quality data.
Write, optimize, and troubleshoot complex SQL queries, stored procedures, and database objects to support business and analytical needs.
Develop robust data transformation workflows using Python, with a strong emphasis on the Pandas library for data manipulation and processing.
Build and maintain enterprise data models, data warehouses, and data marts to support reporting and analytics.
Ensure data accuracy, consistency, and integrity through validation, testing, and monitoring processes.
Collaborate with business stakeholders, analysts, and developers to understand data requirements and deliver scalable solutions.
Identify opportunities to improve data pipeline performance, automation, and overall system efficiency.
Support data governance initiatives by implementing best practices for data quality, security, and documentation.
Contribute to code reviews, technical documentation, and continuous improvement of engineering standards.

Skills and Qualifications

5+ years of experience as a Data Engineer, ETL Developer, or similar data-focused role.
Advanced SQL skills with demonstrated experience writing and optimizing complex queries against large datasets.
Strong Python development experience, including extensive use of the Pandas library for data transformation, cleansing, and analysis.
Experience designing and maintaining ETL/ELT pipelines and data integration workflows.
Hands-on experience with relational databases such as SQL Server, PostgreSQL, Oracle, or MySQL.
Experience working with cloud-based data platforms (Azure, AWS, or Google Cloud) is considered a strong asset.
Familiarity with data warehousing concepts, dimensional modeling, and performance optimization.
Experience with version control tools such as Git and modern software development practices.
Strong analytical and problem-solving skills with excellent attention to detail.
Excellent communication skills with the ability to work effectively across technical and business teams.

Nice to Have

Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or similar.
Exposure to Spark, PySpark, or distributed data processing frameworks.
Experience with Power BI, Tableau, or other business intelligence platforms.
Knowledge of CI/CD pipelines and automated testing for data engineering solutions.

Note from the Hiring Manager

We're looking for a hands-on Senior Data Engineer who enjoys building reliable, scalable data solutions. If you're passionate about writing high-performance SQL, developing robust Python solutions using Pandas, and improving how organizations leverage data, we'd love to hear from you.

Apply About employer

More about this job

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines, data models, warehouses, and marts using SQL and Python with Pandas. Improve data quality, performance, automation, and governance while collaborating with stakeholders and supporting engineering standards.

Requirements

Requires 5+ years of experience in data engineering, ETL development, or a similar role, with advanced SQL and strong Python/Pandas skills. Candidates should have experience with data pipelines, relational databases, data warehousing, and version control; cloud platforms are an asset.

Skills

Advanced SQL
Python
Pandas
ETL/ELT Pipelines
Data Integration
Relational Databases
Data Warehousing
Dimensional Modeling
Data Quality
Data Governance
Git
Cloud Data Platforms
Apache Airflow
Azure Data Factory
Spark
Power BI

Benefits

Professional Growth
Career Advancement

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Pandas
ETL
ELT
Data Pipelines
Data Integration
Data Transformation
Data Engineering
Data Warehousing
Data Marts
Dimensional Modeling
Relational Databases
SQL Server
PostgreSQL
Oracle
MySQL
Azure
AWS
Google Cloud
Git
Apache Airflow
Azure Data Factory
Spark
PySpark
Power BI
Tableau
CI/CD
Data Governance
Data Quality

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