Data engineer jobs in Vaughan, ON and nearby

Data engineer jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 389
Employers: 203

Advertised starting pay

Average starting payCAD / year: $99,297Across 29 listings
Average starting payCAD / hour: $63.43Across 23 listings
Average starting payUSD / year: $109,231Across 13 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 43%166 listings
On-site: 56%219 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), Apptoza Inc. (10).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

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.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Vaughan, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 13 days ago
Q
GCP Senior Data Engineer
Querentia
Toronto, ON
- Contract
We are seeking a GCP Data Engineer with hands-on experience in Google Cloud Platform (GCP) services, particularly BigQuery, and knowledge of DBT for data transformation and modeling. The…
Added 14 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 14 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 14 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 14 days ago
Data Engineer – Informatica IDMC & ETL Development
Capco
Toronto, ON
At Capco, we’re looking for an experienced Data Engineer to join our Technology & Engineering practice in Toronto. You’ll work with leading financial services clients to design, develop and…
Added 14 days ago
Senior Data Engineer
Fundserv
Toronto, ON
We are looking for a Senior Data Engineer who will be responsible for designing and developing database systems, data models an
Added 14 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
5 years of experience in data engineering or a similar role.
Added 14 days ago
AS
GCP Data Engineer
Ardent SoftSol Inc.
Toronto, ON
- Contract
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling.…
Added 14 days ago
JG
GCP Data Engineer
J&M Group
Toronto, ON
- Contract
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling.…
Added 14 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 14 days ago
A
Senior IFRS 17 Data Engineer / Toronto, ON - (Onsite) FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced Senior IFRS 17 Data Engineer with strong expertise in insurance data, IFRS 17, data analysis, SQL, Python, and PySpark. The ideal candidate will be responsible…
Added 14 days ago
AS
Senior Data Engineer
Ardent SoftSol Inc.
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology.
Added 14 days ago
Data Engineer
Scotiabank
Toronto, ON
The Data Engineer provides hands on technical expertise across software engineering, data engineering, and AI/ML. This role shapes solution architecture, establishes engineering standards,…
Added 14 days ago
T
Data Engineer
TechDoQuest
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology.
Added 14 days ago
MI
Senior Data Engineer
Maarut Inc
Toronto, ON
- Contract
Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent.
Added 15 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Toronto, ON
- Full-time
Our team is looking for a Data Engineer with deep hands-on e
Added 15 days ago
T
Data Engineer II
TD
Toronto, ON
- Full-time
Added 15 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 15 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 15 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 15 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 15 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 15 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 16 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 16 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…

KPMG Canada

Senior Consultant, Microsoft Fabric Data Engineer, Data & AI

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Feb 2, 2027
Posting language: English
Posted: Oct 19, 2026

Original job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization initiatives, helping clients migrate from legacy and on‑premise environments to scalable, secure, and unified analytics platforms leveraging Microsoft Fabric, OneLake, and Azure-native services.

What You Will Do

Partner with clients to understand business goals, gather requirements, and translate them into actionable technical designs and delivery plans using Microsoft Fabric.
Work with engagement teams to translate business and analytics requirements into end‑to‑end data strategies, including ingestion, transformation, semantic modeling, and analytics enablement.
Contribute to solution architecture design for repeatable, scalable, and cost‑optimized analytics platforms using Microsoft Fabric components.
Lead delivery of modern data platforms leveraging Fabric Lakehouse, Data Warehouse, Data Engineering, and Real-Time Analytics workloads.
Design and implement data ingestion and transformation pipelines using Fabric Data Factory, notebooks, and Spark.
Implement medallion architecture patterns (Bronze, Silver, Gold) using Fabric Lakehouse and OneLake.
Develop scalable batch and streaming pipelines using Spark, Eventstreams, and real-time ingestion patterns.
Build and optimize semantic models for downstream analytics and reporting in Power BI.
Apply CI/CD and engineering best practices including version control, automated deployment, testing, and release management for Fabric workloads.
Establish and operationalize governance across Fabric using Microsoft Purview, role-based access control, and data lineage.
Support testing, performance tuning, and production releases across Fabric workloads.
Proactively contribute to creation of presentation materials and client-facing documentation related to data and analytics initiatives.
Provide technical leadership and mentorship to junior team members.

What You Bring To The Role

University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
Hands-on experience with Spark-based data processing and notebook-driven development.
Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
Experience supporting data platform modernization and Azure-based migration initiatives.
Experience applying CI/CD practices to data and analytics solutions.
Strong understanding of data governance, security, and access control within Microsoft ecosystems.
Experience collaborating with cross-functional teams to solve complex data challenges.
Familiarity with Power BI and downstream analytics enablement.

Certifications (Preferred)

Microsoft Certified Fabric Analytics Engineer Associate
Microsoft Certified Azure Data Engineer Associate
Power BI Data Analyst certification
Other relevant Microsoft Azure or data engineering certifications

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information

The expected base salary range for this position is $73,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Apply About employer

More about this job

Responsibilities

Lead and deliver Microsoft Fabric data platform modernization, including architecture, ingestion and transformation pipelines, medallion data layers, batch and streaming workloads, and semantic models for analytics. Apply engineering, governance, security, testing, and deployment practices while advising clients, preparing documentation, and mentoring junior team members.

Requirements

Requires a university degree in computer engineering, computer science, mathematics, data science, or a related discipline, plus at least four years of relevant professional experience. Candidates should have at least two years of hands-on Microsoft Fabric or Azure data engineering experience, strong SQL and Python skills, Spark and data modeling experience, and familiarity with governance, CI/CD, and Power BI; relevant Microsoft certifications are preferred.

Skills

Microsoft Fabric
Data Engineering
SQL
Python
Apache Spark
Data Modeling
Data Warehousing
Fabric Lakehouse
OneLake
Microsoft Azure
Azure Synapse
Data Factory
Power BI
Data Governance
CI/CD
Microsoft Purview

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
OneLake
Microsoft Azure
Azure Synapse
Fabric Lakehouse
Fabric Data Warehouse
Fabric Data Factory
Real-Time Analytics
SQL
Python
Apache Spark
Power BI
Microsoft Purview
Data Engineering
Analytics Engineering
Business Intelligence
Data Platform Modernization
Data Migration
Medallion Architecture
Batch Processing
Streaming Data
Semantic Modeling
Data Warehousing
CI/CD
Version Control
Automated Deployment
Data Governance
Role-Based Access Control
Data Lineage
Microsoft Certified Fabric Analytics Engineer Associate

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