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Added 13 hours ago
C
Senior Mobile Consultant, Application Development - Simplii Financial
CIBC
Toronto, ON
- Full-time
We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the…
Added 13 hours ago
BG
Calibration Technician (Ottawa Area)
Boyd Group Services
Ottawa, ON
- Full-time
At The Boyd Group and all affiliated companies, we do not use artificial intelligence (AI) or automated tools to screen, assess, or select applicants for employment. All hiring decisions…
Added 13 hours ago
BG
Calibration Technician (Mississauga Area)
Boyd Group Services
Mississauga, ON
- Full-time
At The Boyd Group and all affiliated companies, we do not use artificial intelligence (AI) or automated tools to screen, assess, or select applicants for employment. All hiring decisions…
Added 13 hours ago
B
AI Enablement Manager
BMO
Toronto, ON · BMOPLACE
- Full-time
The AI Enablement Manager owns the development and management of MCSI’s artificial intelligence opportunity funnel, helping business teams identify, assess, mature and advance high-value,…
Added 13 hours ago
Cyber Security Specialist - L3
Global Relay
Vancouver, BC
…security incidents and technical issues, incident response, threat intelligence, evaluation of security systems and processes, and safeguarding the organization's use of AI technologies.…
Added 13 hours ago
K
Senior Data Integration Developer, Fabric
KPMG
Toronto, ON · ON · Vaughan, Ontario
- Full-time
The Senior Data Integration Developer (Fabric) designs, builds, and supports secure, scalable data integration solutions for KPMG Canada’s internal clients through the Enterprise Analytics…
Added 13 hours ago
MC
Stagiaire en affaires médicales / Medical Affairs Intern
Merck Canada
Kirkland, QC
- Internship
Nous pouvons avoir recours à l’intelligence artificielle et à des outils automatisés pour soutenir notre processus de recrutement. Ces outils sont utilisés pour appuyer, et non remplacer,…
Added 13 hours ago
A
Store Manager (temporary)
Ardene
Brantford, ON
- $17.95 CAD / hour
- Full-time
Artificial intelligence (AI) may be used to support certain stages of our recruitment process, such as reviewing applications. AI is used as a tool to assist our hiring team and does not…
Added 13 hours ago
MM
Senior IT Business Systems Analyst
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
- $82,921 to $103,000 CAD / year
- Full-time
Added 13 hours ago
AG
Program Specialist II
Allegis Global Solutions
Mississauga, ON
- Full-time
Please note that we use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in…
Added 13 hours ago
P
Finance Director
Pollin
Toronto, ON
- Full-time
Added 13 hours ago
HP
Sales Associate / Interior Designer
HR Partnering
Toronto, ON
- Full-time
- Professional presentation, emotional intelligence and discretion.
Added 13 hours ago
TI
Claims Assistant
Temple Insurance Company
Toronto, ON
- Full-time
Use approved artificial intelligence and automation tools to support routine operational activities, document summarization, data validation, drafting and workflow efficiency.
Added 13 hours ago
SM
Driver
Swish Maintenance Limited
Kingston, ON
- Full-time
Swish uses artificial intelligence technology to assist in the initial screening and assessment of applications. AI is used only as a support tool; no hiring decisions are made solely by…
Added 13 hours ago
OC
Senior Demand Planner - Service Parts
Olympus Corporation
Richmond Hill, ON
- Full-time
Added 13 hours ago
GR
Cyber Security Specialist - L3
Global Relay
Vancouver, BC
- Full-time
…security incidents and technical issues, incident response, threat intelligence, evaluation of security systems and processes, and safeguarding the organization's use of AI technologies.…
Added 13 hours ago
AI
President ALEBEX AI and Alexander Innovation Centre
Alexander Innovation Centre
Vancouver, BC
- Full-time
Added 13 hours ago
Senior Actuarial Analyst, Large Accounts Pricing
Aviva
Markham, ON · Toronto, ON
Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.
Added 13 hours ago
AG
Senior Manager, HR Operations
Altus Group
Toronto, ON
- Full-time
Added 13 hours ago
O
Student
OICR
ON · MaRS Centre, Toronto, Ontario
- Contract
Added 13 hours ago
EB
Director, Internal Audit (Information Technology)
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
…audits across the Bank, with a focus on Cyber Security and Artificial Intelligence. The incumbent will also be responsible for developing and implementing audit coverage for new technology…
Added 13 hours ago
B
Packager - Day shift (7:00am - 3:30pm)
Bimeda
Cambridge, ON
- Full-time
AI Disclosure in Hiring: Artificial intelligence (AI) may be used to assist with certain aspects of the recruitment process, including the initial review and screening of applications.…
Added 13 hours ago
B
Production Technician: Machine Operator - Night Shift (11:00pm-7:30am)
Bimeda
Cambridge, ON
- Full-time
AI Disclosure in Hiring: Artificial intelligence (AI) may be used to assist with certain aspects of the recruitment process, including the initial review and screening of applications.…
Added 13 hours ago
M
Associate Product Owner, Travel
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Added 13 hours ago
IC
Compiler Engineer for Tile-based AI DSLs
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
…software stack, driving innovation in high-performance computing, artificial intelligence, and heterogeneous computing. Through collaboration across engineering teams and contributions to…

KPMG

Senior Data Integration Developer, Fabric

UNAVAILABLE, Toronto, ON, Canada
ON, Canada
UNAVAILABLE, Vaughan, ON, L4K 0J3, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 2, 2027
Posting language: English
Posted: Nov 2, 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.

The Senior Data Integration Developer (Fabric) designs, builds, and supports secure, scalable data integration solutions for KPMG Canada’s internal clients through the Enterprise Analytics Centre of Excellence (CoE). The role helps establish and operationalize Microsoft Fabric within a hybrid analytics ecosystem that includes the Enterprise Analytics Data Lake and Azure-native services.

The role combines hands-on data engineering with production reliability, platform governance, documentation, and stakeholder collaboration. Responsibilities span the design, deployment, monitoring, and optimization of data ingestion, transformation, orchestration, lakehouse, warehouse, and real-time solutions using Microsoft Fabric, OneLake, and related Azure services.

What you will do

Data engineering and modernization

Design and implement end-to-end Fabric data engineering solutions for downstream reporting and analytics using Data Factory pipelines, Dataflows Gen2, notebooks and OneLake
Build and maintain reliable batch and, where required, streaming data pipelines using Fabric Data Factory, Spark/PySpark, Eventstreams, and Real-Time Intelligence capabilities
Develop extract, transform, load (ETL) and extract, load, transform (ELT) processes to ingest data from on-premises, cloud, API, file, database, and event-based sources into governed Fabric data stores
Implement medallion architecture patterns across Bronze, Silver, and Gold layers, using Delta tables and reusable transformation frameworks
Design and optimize Fabric OneLake solutions, SQL endpoints, data models, and curated data products for downstream reporting and analytics
Support migration and modernization of legacy, on-premises, Azure Data Factory, Synapse, or other Azure data workloads into Microsoft Fabric where appropriate
Develop and optimize SQL, Databricks (PySpark) and Python transformations to prepare, validate, and enrich data for analytics use cases

Production reliability and optimization

Monitor capacity, pipelines, notebooks, refreshes, data quality, and workload performance. Diagnose failures and implement sustainable corrective actions

Create operational runbooks, architecture diagrams, data flow documentation, support procedures, and technical standards for Fabric solutions

Security, governance, and delivery practices

Apply source control, branching, automated testing, deployment pipelines, and release-management practices using Git or equivalent tooling

Implement and operate security and governance controls, including workspace roles, least-privilege access, row-level security, sensitivity considerations, lineage, and Microsoft Purview integration

Collaboration and technical standards

Collaborate with architects, analytics engineers, data analysts, business analysts, administrators, and business stakeholders to translate requirements into technical solutions that can be maintained and supported in production

Contribute technical judgment through design reviews, platform standards, reusable assets, proof-of-concept projects, and continuous improvement of the Enterprise Analytics operating model

What you bring to the role

University degree or college diploma in computer science, computer engineering, data engineering, information systems, mathematics, or a related discipline, or equivalent practical experience
Four or more years of professional experience in data engineering, data integration, analytics engineering, business intelligence engineering, or a related field
Hands-on experience with Microsoft Fabric and/or comparable Azure data technologies, including Azure Data Factory, Synapse Analytics, Azure Data Lake and Databricks
Experience designing and supporting scalable data integration solutions, including ETL/ELT pipelines, data orchestration, and enterprise data platforms
Strong SQL skills and practical experience with data warehousing, lakehouse architectures, dimensional modeling, and performance optimization
Proficiency in Python and PySpark for data transformation, automation, and troubleshooting
Experience working with Fabric components such as OneLake, Lakehouse, Warehouse, Data Factory, notebooks, and Delta tables
Understanding of modern data architecture concepts, including Medallion architecture, data governance, metadata management, security, and lifecycle management
Experience with Git-based source control, CI/CD practices, and deployment automation
Ability to monitor, troubleshoot, and optimize production data solutions while supporting operational reliability
Experience collaborating with business and technical stakeholders to translate requirements into scalable analytics solutions

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $87,500 to $130,500 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

The Senior Data Integration Developer designs, builds, and maintains scalable data integration solutions using Microsoft Fabric and Azure services. They are responsible for managing data pipelines, optimizing performance, and ensuring data governance and security across the analytics ecosystem.

Requirements

Candidates must have a university degree or college diploma in a relevant technical field and at least four years of professional experience in data engineering or business intelligence. Proficiency in Microsoft Fabric, SQL, Python, and modern data architecture patterns is required.

Skills

Microsoft Fabric
Azure Data Factory
Synapse Analytics
Data Engineering
SQL
Python
PySpark
ETL/ELT
Data Modeling
OneLake
Delta Tables
Medallion Architecture
CI/CD
Git
Data Governance
Cloud Computing

Benefits

Total Rewards program
Bonus awards

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Azure
Data Engineering
OneLake
Data Factory
Spark
PySpark
ETL
ELT
Medallion Architecture
Delta Tables
SQL
Databricks
Git
CI/CD
Data Governance
Microsoft Purview
Data Lake
Data Warehouse
Analytics Engineering
Business Intelligence
Cloud Migration
Automation
Performance Optimization
Dimensional Modeling

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