Jobs in Ontario

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

201,754 listings · 20,911 employers Counted Nov 4, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,148 listings), Shoppers Drug Mart (3,986 listings), Walmart Canada (3,305 listings).

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

32,980 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	16,992
CAD / year	80,000.00	13,249
USD / year	100,000.00	810
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
Quality Control Representative - Orillia
VCNA
Orillia, ON
Added 2 hours ago
Payroll Administrator
Health Sciences North
ON
Added 2 hours ago
Emergency Veterinarian - Etobicoke, ON
Veterinary Emergency Group (VEG)
Toronto, ON
Added 2 hours ago
Digital & eCommerce Specialist
Brewers Retail Inc
Bolton, ON
Added 2 hours ago
B
General Repair Technician III
BGIS
Ottawa, ON
- Full-time
Added 2 hours ago
B
Senior Manager, Physical Security
BGIS
Markham, ON
- Full-time
Added 2 hours ago
B
Security Coordinator - 6 month contract
BGIS
Markham, ON
- Full-time
Added 2 hours ago
Surveillance Security Guard
GardaWorld
Vaughan, ON
Added 2 hours ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
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Assistant Manager, Performance Improvement
Scotiabank
Ottawa, ON
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Senior Manager, AI and Emerging Technology sourcing
Scotiabank
Toronto, ON
Added 2 hours ago
R
Financial Planner Investment and Retirement Planning
RBC
Thunder Bay, ON
- Full-time
Added 2 hours ago
MC
Clinic Manager - London
Medicentres Canada Inc.
London, ON
- $55,000 to $60,000 CAD / year
- Full-time
Added 2 hours ago
Rural and Suburban Mail Carrier, On-call Relief
Canada Post - Postes Canada
North Bay, ON
Added 2 hours ago
Postal Clerk - Retail and Operations
Canada Post - Postes Canada
Petrolia, ON
Added 2 hours ago
BE
Mechanic Shop Unlicensed
Battlefield Equipment Rentals
Brantford, ON
- Full-time
Added 2 hours ago
HC
Senior Capital Project Manager
Highbury Canco Corporation
Leamington, ON
- $100,000 to $125,000 CAD / year
- Full-time
Added 2 hours ago
N
Personal Lines Account Manager
Navacord
Elmira, ON
- $55,000 to $65,000 CAD / year
- Full-time
Added 2 hours ago
CO
Senior Director, Strategic Accounts & Business Development
Crofter's Organic
Parry Sound, ON
- Full-time
Added 2 hours ago
LC
Community & Communications Coordinator
Lincoln Chamber of Commerce
Beamsville, ON
- Part-time
Added 2 hours ago
R&
Operations Officer I
Robertson & Company Ltd.
Toronto, ON
- Contract
Added 2 hours ago
UI
Inside Sales Specialist
UAP Inc.
Dryden, ON
- Full-time
Added 2 hours ago
BS
Bilingual Mortgage Verification Specialist
Bilingual Source
Toronto, ON
- $60,000 to $62,000 CAD / year
- Full-time
Added 2 hours ago
PS
Internal Audit Manager
Professional Staffing
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
Added 2 hours ago
AD
Shipper / Receiver
Avery Dennison
Kitchener, ON
- $18 to $23 CAD / hour
- Full-time

IT Accel, Inc.

Sr. AI Data Platform Engineer (FinOps Reporting)

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: 10 years of experience in data engineering, analytics engineering, BI engineering, financial data analytics, or a related data-focused role.
Posting language: English
Posted: Nov 4, 2026

Original job description

Hybrid 4 days onsite, 1 remote.

Position Summary

Our client is seeking a data professional with strong experience in data engineering, analytics engineering, BI engineering, financial data analytics, or a related data-focused role. The position focuses on building and maintaining FinOps data pipelines, integrating technology and financial data across enterprise systems, and developing trusted datasets and analytics to support cost management, reporting, forecasting, optimization, and auditability.

Responsibilities

Build and maintain FinOps data pipelines from ingestion through reporting and self-service analytics.
Normalize cloud and technology spend data across provider feeds, including alignment with standards such as FOCUS where applicable.
Integrate billing, usage, tagging, metadata, CMDB, application, owner, finance, contract, and vendor data.
Support cost taxonomy, allocation rules, metadata standards, showback, chargeback, forecasting, and auditability.
Create trusted datasets for cost reporting by business unit, product, application, environment, owner, platform, and vendor.
Build analytics to support budget guardrails, variance reporting, anomaly detection, remediation workflows, and optimization tracking.
Support commitment-based spend analysis, including reservation, savings plan, coverage, utilization, and waste reporting.
Develop reporting for rightsizing, idle resource cleanup, quota tuning, license reclamation, and other optimization opportunities.
Build models and dashboards for unit economics, total cost of ownership (TCO), ROI tracking, and business outcome-based cost analysis.
Partner with Engineering Analytics to deliver enterprise dashboards, automated alerts, recommendations, and workflow automation.
Ensure data quality, lineage, reconciliation, documentation, controls, and auditability across FinOps data assets.
Reduce manual reporting and spreadsheet dependency through automation.
Qualifications
10 years of experience in data engineering, analytics engineering, BI engineering, financial data analytics, or a related data-focused role.
University degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, Finance, Business Analytics, or a related field.
Strong experience with SQL, data modeling, ETL/ELT pipelines, and large, complex datasets.
Experience integrating data across multiple enterprise systems.
Experience with data platforms such as Databricks, Snowflake, BigQuery, Azure Synapse, Microsoft Fabric, SQL Server, or similar tools.
Experience with BI and reporting tools such as Power BI, Tableau, Looker, or similar platforms.
Strong understanding of data quality, reconciliation, controls, lineage, documentation, and governance.

Apply About employer

More about this job

Responsibilities

Build and maintain FinOps data pipelines and trusted datasets by integrating cloud and technology spend with financial, operational, and enterprise data. Develop reporting, dashboards, and analytics for cost allocation, forecasting, optimization, unit economics, and auditability while automating manual reporting processes.

Requirements

Requires at least 10 years of experience in data engineering, analytics engineering, BI engineering, financial data analytics, or a related data-focused role, along with a university degree in a relevant field. Candidates should have strong SQL, data modeling, ETL/ELT, enterprise data integration, data platform, BI, and data governance experience.

Skills

SQL
Data Engineering
Data Modeling
ETL/ELT Pipelines
FinOps Analytics
Financial Data Analytics
Data Integration
Data Quality
Data Governance
Data Reconciliation
Data Lineage
Cloud Cost Management
Business Intelligence
Forecasting
Dashboard Development
Cost Optimization

Visa sponsorship

Not detected in the job text

Keywords

FinOps
SQL
Data Engineering
Analytics Engineering
BI Engineering
Data Modeling
ETL/ELT
Databricks
Snowflake
BigQuery
Azure Synapse
Microsoft Fabric
SQL Server
Power BI
Tableau
Looker
FOCUS
Cloud Cost Management
Cost Allocation
Showback
Chargeback
Forecasting
Anomaly Detection
Commitment-Based Spend Analysis
Unit Economics
Total Cost of Ownership
ROI Tracking
Data Quality
Data Lineage
Data Governance

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