Data engineer jobs in Canada

Find data engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 5, 2026

Hiring at a glance

View jobs

Open jobs: 793
Employers: 393

Advertised starting pay

Average starting payCAD / year: $103,171Across 89 listings
Average starting payCAD / hour: $64.31Across 35 listings

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

Where work happens

Remote: 4%33 listings
Hybrid: 39%313 listings
On-site: 56%443 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), Capgemini (25), J&M Group (15).

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 Canada

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Added 1 hour ago
T
Junior Data Engineer – Azure Databricks / ADF / PySpark
ThoughtStorm
Toronto, ON
- Contract
Hands-on experience developing data engineering solutions using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Databricks.
Added 1 hour ago
T
Data Engineer - Databricks
Teqfocus
Toronto, ON
- Contract
…portfolio initiative built on Databricks and a curated Unified Data Layer…
Added 1 hour ago
C
Senior AWS Data Engineer (Strong Databricks)
Ccube
Mississauga, ON
- $70 to $80 CAD / hour
- Full-time
We are looking for a Senior AWS Data Engineer to design and lead scalable, secure, and high-performance cloud data platforms across AWS/Azure." in Mississauga, ON (Hybrid).
Added 1 hour ago
TI
Report Developer / Azure Data Engineer
Teckhorizon Inc
Toronto, ON
- Contract
Our Client is seeking a Report Developer / Azure Data Engineer to support enterprise data engineering, cloud integration, and analytics initiatives within the Ontario Data Platform (ODP).
Added 3 hours ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 5 hours ago
PS
Data Engineer
Prodigy Systems Inc.
Toronto, ON
- $90,000 to $100,000 CAD / year
- Contract
We are looking for a Data Engineer for a 1 year contract with the intention of converting to full time permanent. Role is hybrid with 2 days a week on site in Downtown Toronto.
Added 6 hours ago
T
Data Engineer – Databricks & MDM
Teqfocus
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer with 5+ years of experience to support data engineering and master data management initiatives. The ideal candidate brings practical Databricks…
Added 13 hours ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
This client is seeking an experienced Sr. Data Engineer / Data Product Lead to support the design and delivery of enterprise-scale data products within a complex life sciences environment.…
Added 19 hours ago
AC
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva Canada
Markham, ON
- Full-time
Added 20 hours ago
LC
Staff Data Engineer - Retail Media Platform
Loblaw Companies Limited
Toronto, ON
- Full-time
Added 21 hours ago
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva
Markham, ON
Added 23 hours ago
Sr. Data Engineer, WW Pricing Data and Insights
Amazon
Vancouver, BC
You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
Added 23 hours ago
H
Data Engineer
Hays
Montreal, QC
- Contract
We are seeking a Python / PySpark Data Engineer with 3–5 years of experience to develop and enhance a strategic Client Data Confidentiality and data-usage monitoring platform. The role will…
Added 23 hours ago
V
Data Engineer
VySystems
Toronto, ON
- Full-time
Strong hands-on experience with Azure Data Factory (ADF), Azure Databricks, Python, PySpark, SQL, and Azure cloud services.
Added 1 day ago
B
Data Engineer
Buyerlink
Victoria, BC
- Full-time
We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight - scalable pipelines, cloud-native data platforms,…
Added 1 day ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Added 1 day ago
Data Engineer, Lead
University of Toronto
Toronto, ON
Faculty/Division: Institutional Research and Data Governance
Added 1 day ago
IC
Senior Data Engineer
Infotek Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- $70 to $100 CAD / hour
- Contract
Senior Data Engineer (Azure, Databricks, PySpark) | Talent Community
Added 1 day ago
SI
Contract Data Engineer
SapienX Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
SapienX, Inc. is looking for an experienced Data Engineer for a 6-month consulting engagement supporting our clients.
Added 1 day ago
Senior Data Engineer
ZoomInfo Technologies LLC
Toronto, ON
The Senior Data Engineer is a core builder of the single source of truth that ZoomInfo's Corporate Strategy and GTM Strategy teams use to plan and track th
Added 1 day ago
W
Data Engineer
Wiraa
Canada
- Full-time
Added 1 day ago
Bilingual Data Engineer
CMHC - SCHL
Ottawa, ON · Montreal, QC
Added 1 day ago
HI
Senior Data Engineer/ETL Developer
HRbrain Inc.
Toronto, ON
- Full-time
1st Senior Data Engineer, 10+ years Experience
Added 1 day ago
SI
Data Engineer
Spait Infotech
Canada
- Full-time
Design, develop, and maintain scalable data pipelines.
Added 1 day ago
HI
Sr. Data Engineer
HRbrain Inc.
Toronto, ON
- Full-time
We are looking for a Senior Data Engineer to joint their Data & Analytics team within Data & Technology team, reporting directly to the Director of Data & Analytics.

QuantumBlack, AI by McKinsey

Data Engineer II - QuantumBlack, AI by McKinsey

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: 2+ years of relevant professional experience building and deploying data solutions
Posting language: English
Posted: Nov 4, 2026

Original job description

Who You'll Work With

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues - at all levels - will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your Impact

You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.

You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You’ll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.

You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you’ll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities.

Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you’ll help develop innovative AI capabilities and scalable enterprise solutions. You’ll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firm’s ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.

You’ll be based in one of our North American offices as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients - from data owners to C-level executives - you’ll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.

You will grow at the forefront of AI, data engineering, and emerging agentic technologies. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you’ll gain a holistic understanding of how data engineering enables advanced AI while collaborating with leading AI and data experts in the industry.

In accordance with Ontario law: This job posting is for an existing vacancy. Artificial intelligence systems (AI) may be used to assist recruiters in the screening and/or assessment of candidates for this role. AI is neither the sole determinative factor at any stage of the application process nor the decisionmaker. All AI-generated assessments are reviewed by a McKinsey recruiter before any decision is made regarding a candidate’s candidacy.

Your Qualifications and Skills

Degree in Computer Science/Engineering, or equivalent experience
2+ years of relevant professional experience building and deploying data solutions
Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments
Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence, covering data preparation, embeddings generation, vector search, and system integration using modern frameworks (Spark, dbt, LangChain)
A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.)
Hands-on experience with MLOps/LLMOps principles, including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform)
Experience building systems with different data formats (structured vs unstructured) and data processing methods (streaming vs batch) and deploying across major cloud platforms (AWS, Azure, GCP)
Exceptional time management in a complex and largely autonomous work environment
Commercial client-facing or senior stakeholder management experience is beneficial
Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
Willingness to travel as required
Business level language fluency skills, both verbal and written, in English and the local office language(s)

Apply About employer

More about this job

Responsibilities

Build and maintain scalable, reliable data pipelines and secure data environments that support production-ready machine learning, generative AI, and agentic systems. Collaborate with data scientists, machine learning engineers, clients, and other experts to prepare data, develop AI capabilities, and deliver solutions to complex business problems.

Requirements

Requires a degree in computer science or engineering, or equivalent experience, and at least two years of relevant experience building and deploying data solutions. Candidates should have strong Python and SQL skills, experience with end-to-end data platforms and modern data and AI tools, and familiarity with MLOps/LLMOps, cloud platforms, and structured and unstructured data; client-facing experience and coding-agent experience are beneficial.

Skills

Python
SQL
Data Engineering
Data Pipeline Development
Generative AI
Agentic AI
Machine Learning
Vector Search
Embeddings
Spark
Dbt
LangChain
MLOps
LLMOps
Terraform
Cloud Platforms

Benefits

Competitive Salary
Learning And Apprenticeship Programs
Mentorship And Coaching

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Data Pipelines
Generative AI
Agentic AI
Machine Learning
Business Intelligence
Embeddings
Vector Search
Spark
Dbt
LangChain
Databricks
Snowflake
BigQuery
PostgreSQL
Pandas
MLOps
LLMOps
CI/CD
LangSmith
Opik
Langfuse
Terraform
AWS
Azure
Google Cloud Platform
Agile
Data Quality

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