IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 22, 2026

Hiring at a glance

View jobs

Open jobs: 2,660
Employers: 1,296

Advertised starting pay

Average starting payCAD / year: $98,430Across 253 listings
Average starting payCAD / hour: $49.07Across 86 listings
Average starting payUSD / year: $117,481Across 54 listings
Average starting payUSD / hour: $55.50Across 10 listings

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

Where work happens

Remote: 5%125 listings
Hybrid: 39%1,027 listings
On-site: 56%1,488 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (55), TD (46), Royal Bank of Canada (45).

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

IT & data jobs in Canada

Save this search

Added 1 month ago
Business system analyst - Wealth management
J&M Group
Toronto, ON
Full-time
Experience preparing BRDs, FRDs, user stories, acceptance criteria, workflow diagrams, and data mapping documents.
Added 1 month ago
Senior Data Scientist Model Validation
National Bank of Canada
Montreal, QC
Full-time
A career as a Senior Data Scientist, Validating models in the Risk Management Models team at National Bank means acting as a specialist who ensures the robustness, reliability and…
Added 1 month ago
Senior Data Scientist
Seequent
Calgary, AB
Full-time
Added 28 days ago
Data Engineer
Spectrum Health Care
Toronto, ON
Full-time
Are you a Data Engineer with experience building cloud-based data solutions and transforming healthcare data into actionable insights? At Spectrum Health Care (Spectrum), we're building a…
Added 29 days ago
Ingénieur de données Databricks / Data Engineer Databricks
Avanquest
Montreal, QC
Full-time
Added 29 days ago
Revenue Growth Management (RGM) Data & Analytics Manager
Lactalis
Toronto, ON
Added 5 months ago
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Our team is looking for a Data Engineer with extensive hands
Added 5 months ago
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Our team is looking for a Data Engineer with deep hands-on e
Added 29 days ago
Manager, Data Architect
dentsu
Toronto, ON
Full-time
Our mission is to Drive Business Performance. We use data to create personalized and connected experiences that deliver transformative business outcomes. Our role is to ensure our clients…
Added 29 days ago
Systems Analyst
Longbow Advantage
Remote, Canada
Full-time · Remote
Rebus is an end-to-end warehousing strategy company that uses real-time data to manage people, processes, and warehouses through The Rebus® Platform and WMS consulting services…
Added 18 days ago
Data Scientist, Optimization - Real-Time Supply Management
Lyft
Toronto, ON
Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation…
Added 28 days ago
Data Engineer (Databricks)
Fluent, LLC
Remote, Canada
Full-time · Remote
As a Data Engineer on Fluent's Data Engineering team, you will bring your Databricks development expertise to build the data products that power Fluent's Audience Solutions business: the…
Added 1 month ago
Software Development Manager, Tax Engine
Amazon
Vancouver, BC
Full-time
Added 1 month ago
Data Engineer
BrainStation
Toronto, ON
$90,000 to $125,000 USD / year
Full-time
Added 1 month ago
Data Engineer
Blackline Safety
Canada
Full-time
As a Data Engineer, you'll help expand, optimize, and maintain data pipelines and infrastructure that power our IoT-enabled safety ecosystem. You'll work with large, real-time and batch…
Added 1 month ago
Business Systems Analyst
J&M Group
Toronto, ON
Full-time
Added 4 months ago
Data Systems Analyst
LTM
ON · Ontario, Canada
$100,000 to $135,000 USD / year
Full-time
Minimum 5 years of experience successfully leading Data Systems Analysis organizations with expertise in building largescale enterprise data assets
Added 1 month ago
Software Development Manager - AWS Identity & Access, AWS IAM Identity Center
Amazon Web Services (AWS)
Vancouver, BC
Full-time
Added 1 month ago
Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs
Amazon Web Services (AWS)
Toronto, ON
Full-time
Added 1 month ago
Sr. Data Scientist, Alexa Connections
Amazon
Vancouver, BC
Full-time
As a Sr. Data Scientist in Alexa Connections, you will lead the end-to-end development of machine learning and data science solutions that power intelligent communication experiences across…
Added 1 month ago
Software Development Manager, Alexa Connections
Amazon
Toronto, ON
Full-time
Added 28 days ago
Business Systems Analyst
J.D. Irving, Limited
Saint John, NB
Full-time
The Business System Analyst is responsible for reporting, data integrity, and testing to ensure security of data and compliance in terms of system functionality. This role is a subject…
Added 25 days ago
Lead Data Engineer GFT - Halifax
Royal Bank of Canada
Halifax, NS
Full-time
Added 29 days ago
Software Development Manager P4
OSI Maritime Systems
Burnaby, BC
Added 13 days ago
Application Support Analyst - Assistant Vice President
Citi
Mississauga, ON
Full-time

KPMG

Senior Consultant, Databricks Data Engineer, Data & AI

UNAVAILABLE, Calgary, AB, Canada
UNAVAILABLE, Vancouver, BC, Canada
ON, Canada
UNAVAILABLE, Toronto, ON, M5H 2S5, Canada

Job type: Full-time
Apply by: Apr 7, 2027
Posting language: English
Posted: Apr 7, 2026

Apply About employer

Applications open in a new tab.

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 extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from legacy/on-prem data platforms to scalable, secure, and cost-optimized Lakehouse architectures using Databricks and similar technologies.

What you will do

Partner with clients to understand business goals, gather requirements, and translate them into actionable technical designs and delivery plans.
Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL/ELT, data model, and staging data for analysis.
Contribute to end-to-end solution architecture for repeatable, cost-optimized implementations (including non-functional requirements and operational readiness).
Lead delivery of modern data platforms on Databricks (ETL/ELT pipelines, workload migrations, governance enablement).

Implement Delta Lake / Lakehouse patterns including medallion architecture, CDC, incremental processing, and data quality controls.
Develop data pipelines to support streaming, incremental, batch data, etc.
Design and implement scalable batch and streaming pipelines using Spark and modern orchestration patterns.
Apply CI/CD and engineering best practices (version control, automated deployment, testing, and release management) to data engineering workflows.
Establish and operationalize governance using Unity Catalog, including access controls, lineage, and security frameworks.

Support testing and production releases, including troubleshooting, performance tuning, and stabilization.
Proactively contributes to the creation of presentation materials relating to data activities for stakeholder discussions.

What you bring to the role

University degree in computer engineering, mathematics, data science or related disciplines
4+ years of professional experience in a related field like Data Engineering, Business Intelligence, or related field with a track record of manipulating, processing, and extracting value from large datasets.
2+ years of hands-on experience with Databricks, including advanced features (Delta Lake, Unity Catalog) with Databricks or cloud certifications with 1-2 years of experience leading workstreams / client-facing delivery.
Strong proficiency in SQL and solid understanding of modern data modeling principles, dimensional modeling, and data warehousing concepts.
Proficiency in Python (or similar scripting languages) for data processing, automation, and analytical workflows
Strong experience working in teams to perform ETL (extract, transform and load) of data from a variety of databases from SQL, NoSQL, etc.
Proven experience leading large-scale data migrations (ETL, workloads, cloud platforms), including migration of legacy data platforms or ETL workloads to cloud-native environments.
Experience applying CI/CD practices to data engineering workflows, including version control, automated deployment, and pipeline orchestration.
Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks.
Experience collaborating within cross-functional and multi-disciplinary teams to solve complex data challenges, including processing semi-structured and unstructured data
Experience in at least one major cloud service: AWS, Azure and GCP with understanding of cloud-native services, identity management, and scalable architecture principles.

Certifications: Databricks Certified Data Engineer (Associate or Professional) and/or relevant cloud certifications (e.g., Azure, AWS, or GCP architecture or data engineering credentials) are preferred.

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

The Senior Consultant will lead modernization initiatives by designing and implementing scalable Lakehouse architectures using Databricks. They will partner with clients to translate business requirements into technical data strategies, including ETL/ELT pipelines, data modeling, and governance enablement.

Requirements

Candidates must have at least 4 years of professional experience in data engineering and 2 years of hands-on experience with Databricks. A university degree in a relevant discipline and proficiency in SQL and Python are required, along with experience in cloud-native environments.

Skills

Databricks
Data Engineering
SQL
Python
Delta Lake
Unity Catalog
ETL/ELT
Cloud Architecture
Spark
Data Modeling
CI/CD
Data Migration
Consulting
Lakehouse Architecture
Performance Tuning
Stakeholder Management

Benefits

Comprehensive and competitive total rewards program
Bonus awards

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Data Engineering
Lakehouse
Delta Lake
Unity Catalog
ETL
ELT
Spark
Python
SQL
Cloud Computing
AWS
Azure
GCP
CI/CD
Data Modeling
Data Migration
Consulting
Data Governance
Medallion Architecture
Streaming
Batch Processing
Performance Tuning
Version Control
Automation
Data Quality
Business Intelligence
Data Warehousing
Identity Management
Scalable Architecture

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