Jobs in Canada

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Added 3 hours ago
A
Senior Software Engineer
AltaML
Toronto, ON
- $130,000 to $150,000 CAD / year
- Full-time
The Senior Software Engineer leads implementation of complex features and epics, owns technical design end to end, and multiplies the pod's output - both by mentoring other engineers and by…
Added 3 hours ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 3 hours ago
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Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB · NB · Virtual, New Brunswick
- Full-time
Cvent is seeking a Senior Database Engineer with deep Snowflake expertise to help design, manage,
Added 3 hours ago
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Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
Cvent is seeking a Senior Database Engineer with deep Snowflake expertise to help design, manage,
Added 3 hours ago
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Manager, Engineering
Cvent
Fredericton, NB
- Full-time
Support onboarding, training, and skill development aligned to engineering competencies and each engineer’s growth trajectory.
Added 3 hours ago
C
Senior Software Engineer
Cvent
Fredericton, NB
- Full-time
We are seeking a Senior Software Engineer to join our Splash team!
Added 3 hours ago
C
Senior Site Reliability Engineer (Edge Security)
Cvent
Fredericton, NB
- Full-time
As a Senior SRE on the SRE Security team, you will be a core platform owner. You will own the infrastructure, carry the on-call rotation, handle the requests that gate deploys and customer…
Added 4 hours ago
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Senior Product Manager
Fours
Vancouver, BC
- Full-time
We’re hiring a Senior Product Manager to own the product roadmap for Insulin, our new product focused on AI-driven automation across revenue operations. You’ll lead the strategy, product…
Added 4 hours ago
F
Senior Solutions Engineer
Fours
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
We’re hiring a Senior Solutions Engineer to work directly at the intersection of product engineering and customer integrations.
Added 4 hours ago
MT
Senior Staff Software Engineer
Maximum Technologies, Inc.
Remote, Canada
- Full-time
- Remote
…payments, card and compliance systems a bank actually runs on. As a Senior Staff Engineer, you would help to shape decisions, pressure-test them, and own the work that turns them into…
Added 4 hours ago
MT
Senior Software Engineer
Maximum Technologies, Inc.
Remote, Canada
- Full-time
- Remote
Added 4 hours ago
MT
Staff Software Engineer
Maximum Technologies, Inc.
Remote, Canada
- Full-time
- Remote
…compliance systems a bank actually runs on. As a Staff Software Engineer, you would own a domain service outright: its schema, its API, its workflows, its tests. When a change touches…
Added 5 hours ago
A
Civil Engineer
Actalent
New Westminster, BC
- $130,000 to $150,000 CAD / year
- Full-time
We are seeking a highly experienced Intermediate or Senior Civil Engineer to serve as the Professional of Record for civil engineering deliverables supporting electrical distribution…
Added 10 hours ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Remote, Canada
- $175,000 to $210,000 CAD / year
- Full-time
- Remote
Job Title: Principal Software Engineer - Zynque
Added 13 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 13 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 13 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 17 hours ago
BG
Senior Renewable Energy Technical Advisor
BTY Group
Vancouver, BC
- $100,000 to $125,000 CAD / year
- Full-time
…provides Technical Due Diligence, Construction Management, Owner’s Engineer, Insurance and Offtake advisory Lenders’ Technical Advisor, M&A Due Diligence, and Owner’s Advisory services…
Added 19 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 19 hours ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including
Added 23 hours ago
S&
Senior Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
This is a senior engineering position that offers a variety of interesting and challenging opportunities in structural engineering and will provide an excellent opportunity to advance your…
Added 1 day ago
S&
Lead Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Provides senior level technical direction and supervision to the project team members in his/her discipline. Establishes project task schedules and budgets for his/her discipline to meet…
Added 1 day ago
S&
Senior Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Added 1 day ago
Senior Quality Assurance Engineer
NetBrain
Toronto, ON
NetBrain is looking for an experienced Senior QA Engineer to work on a variety of automation-related projects for our unparalleled network automation platform, powered by agentic-AI. We…
Added 1 day ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…

QuantumBlack, AI by McKinsey

Data Engineer II - QuantumBlack, AI by McKinsey

Toronto, ON, Canada

Full-time

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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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