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Added 13 hours ago
Manager of Revenue
the Town of the Blue Mountains
Thornbury, ON
…or through other official direction; rebates for low-income senior or disabled property…
Added 13 hours ago
SL
Senior Consultant, Strategy, Sunlife Health
Sun Life
Calgary, AB · AB · Vancouver, BC · Toronto, ON · Waterloo, ON · Montreal, QC · Alberta Telecommuters
- Full-time
As Senior Consultant, you'll take an ambiguous strategic question, turn it into a clear plan of attack, find the answer, and engage senior leaders and decision makers to deliver results.…
Added 13 hours ago
Estimator
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Langley (District), BC · Langley, BC
Opportunities to grow into Senior Estimator or leadership roles
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Member IT Services - Senior IT Business Systems Analyst
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…and mentor others in the Associate Medical Director (AMD), Senior Medical Writer (SMW) and/or Medical Writer (MW) roles. Please see required experience…
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Team leader, Management support and expertise support
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- Full-time
…fields. You develop business positions and lead and influence senior management and decision-making bodies. More specifically, you will be required…
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Procurement Analyst (8 Month) - Winter 2027 Co-op
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…data analysis while working closely with procurement partners, senior leaders, and teams across our lines of business. You'll help identify opportunities to improve existing processes and…
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C
Senior Mobile Consultant, Application Development - Simplii Financial
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- Full-time
The Senior Consultant, Application Development is responsible for leading the functional design and development of application systems across all technologies and platforms. The role…
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Senior Product Design Engineer / Développeur·euse design de produit senior
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Senior Financial Analyst
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Toronto, ON · Brookfield Place
- Full-time
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B
AI Development Manager
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Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
Boeing Vancouver is seeking an AI Development Manager to join the Boeing Global Services (BGS) - Digital Services Technology organization, reporting to the Senior Manager of AI & Analytics.
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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
B
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…variety, autonomy and the opportunity to work directly with senior finance…
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Senior Accounting Coordinator
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Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our Prose HR team is currently recruiting a Senior Accounting Coordinator on behalf of a established and successful private business in the Niagara region seeking a detail-oriented,…
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AI Delivery - Oracle Fusion AI
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Brampton, ON
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MM
Senior IT Business Systems Analyst
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Toronto, ON · Greater Toronto Area, Canada
- $82,921 to $103,000 CAD / year
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Product Management Specialist
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KPMG

Senior Data Integration Developer, Fabric

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

Full-time

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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.

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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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