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.

78,185 listings · 9,847 employers Counted Oct 27, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,275 listings), Loblaw Companies Limited (1,092 listings), S M Software Solutions Inc (944 listings).

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

12,733 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	7,030
CAD / hour	25.91	4,567
USD / year	110,000.00	492
USD / hour	25.78	252
CAD / month	5,250.00	22
CAD / week	2,868.82	18

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, 71% 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 5 hours ago
OV
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Vision Talent Co.

Senior Data Engineer (Databricks) - Finance Data Modeling

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Current contract is for 3 months of work and likely extend to 4 with more conversations later on to extend the contract even longer (this is a large program at RBC)

****************If someone is currently working/if need be we can offer a 6 month contract as if this doesn't extend we'd likely have other work to transition them to.

Senior Data Engineer - Databricks & Finance Data

About the role

We are hiring a Senior Data Engineer to build and own the finance data platform on Databricks. You will design the pipelines and data models behind the general ledger, sub-ledgers and financial reporting, turning raw data into trusted, reconciled datasets that Finance, FP&A and leadership rely on for close, reporting and planning.

What you'll doDesign and build scalable ELT pipelines on Databricks (PySpark, Spark SQL, Delta Lake) that ingest data from finance systems
Model core finance data: general ledger, chart of accounts, journal entries, trial balance, sub-ledgers (AP, AR, fixed assets), cost centres, legal entities and intercompany.
Build curated, reporting-ready layers using a medallion architecture (bronze, silver, gold) and dimensional modelling (star schemas, conformed dimensions, slowly changing dimensions).
Implement governance with Unity Catalog
Orchestrate and productionize workloads with Databricks Workflows or Airflow, CI/CD and infrastructure-as-code.
Tune performance and cost across clusters, SQL warehouses and Delta tables.
Mentor engineers, review code and set modelling and engineering standards for the team.
What you bring7+ years in data engineering, including 3+ years building production workloads on Databricks.
Proven experience modelling finance data.
Strong Python/PySpark and advanced SQL; deep working knowledge of Delta Lake.
Solid dimensional modelling skills (Kimball) and experience with medallion architectures.
Experience building data quality and reconciliation controls in a regulated or audited environment.
Hands-on with a major cloud platform (Azure, AWS or GCP), Git-based CI/CD and orchestration tools.
Clear communicator who can work with finance leaders as comfortably as with engineers.
Nice to haveDatabricks certification (Data Engineer Professional or Associate).
Experience with dbt, Delta Live Tables or Lakeflow pipelines.

Apply About employer

More about this job

Responsibilities

Build and own a Databricks finance data platform, including scalable ELT pipelines and trusted, reconciled models for general ledger, sub-ledger, and financial reporting data. Create governed, reporting-ready data layers; productionize and optimize workloads; and mentor engineers while establishing team standards.

Requirements

Requires 7+ years of data engineering experience, including 3+ years building production Databricks workloads, with proven finance data modeling experience. Candidates should have strong Python/PySpark and SQL skills, Delta Lake and dimensional modeling expertise, experience with data quality controls in regulated or audited environments, and familiarity with cloud platforms, CI/CD, and orchestration.

Skills

Databricks
PySpark
Spark SQL
Delta Lake
Python
Advanced SQL
Finance Data Modeling
Dimensional Modeling
Medallion Architecture
Unity Catalog
Databricks Workflows
Airflow
CI/CD
Infrastructure as Code
Data Quality and Reconciliation
Cloud Platforms

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
Spark SQL
Delta Lake
Python
ELT Pipelines
Finance Data Modeling
General Ledger
Sub-ledgers
Financial Reporting
Medallion Architecture
Dimensional Modeling
Star Schemas
Conformed Dimensions
Slowly Changing Dimensions
Unity Catalog
Databricks Workflows
Airflow
CI/CD
Infrastructure as Code
Data Quality
Reconciliation Controls
Azure
AWS
GCP
Git
Kimball
dbt
Delta Live Tables
Lakeflow

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