Overview
At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause turning insight into opportunity for clients and communities around the world.
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.
