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Added 10 hours ago
H
Senior Fire Protection Engineer
HDR
Toronto, ON
- Full-time
…support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design…
Added 10 hours ago
FT
Agent Deployment Engineer - Spanish Speaking
FDE Times
Toronto, ON
- Full-time
As an Agent Deployment Engineer, you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the…
Added 10 hours ago
FT
Agent Deployment Engineer
FDE Times
Toronto, ON
- Full-time
As an Agent Deployment Engineer, you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the…
Added 12 hours ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC
- Full-time
Shape the Future of Construction AI as an AI Software Developer Engineer in Test!
Added 12 hours ago
RB
Lead, Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
The Lead, Full Stack Engineer is a hands-on leadership role within AI Engineering, US Functions Technology – Finance, Risk, Law, and Audit. You will build and inspire a team that delivers…
Added 15 hours ago
R
Lead, Full Stack Engineer
RBC
Vancouver, BC
- Full-time
The Lead, Full Stack Engineer is a hands-on leadership role within AI Engineering, US Functions Technology – Finance, Risk, Law, and Audit. You will build and inspire a team that delivers…
Added 17 hours ago
S
AI Engineer I | Ingénieur.e IA I
Sadie
Montreal, QC · Saint-Laurent, QC
- Full-time
We're looking for an early-career AI engineer to join our Montreal team and ship product work from your first weeks. The team is lean, so your code reaches real hotels quickly, and you'll…
Added 18 hours ago
A
Microsoft Foundry Architect
Affinity
Vancouver, BC
- Contract
Hands-on experience with Foundry Agent Service and agent frameworks such as Microsoft Agent Framework, Semantic Kernel, AutoGen, or LangGraph.
Added 18 hours ago
C
Applications Development Sr Programmer Analyst - Assistant Vice President
Citi
Mississauga, ON
- Full-time
Hands-on Gen AI/LLM experience: prompt design, tool/function calling, and agent orchestration.
Added 19 hours ago
GW
AI and Data Engineer
George Weston Limited
Toronto, ON
- Full-time
The AI and Data engineer is responsible for implementing AI solutions to solve business problems and enhance business operations. This role is also responsible for building and managing…
Added 20 hours ago
RD
Senior MLOps & Cloud Engineer (AWS / SageMaker)
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Emerging AI Frameworks: Practical experience with AgentOps / LLMOps / AIOps, Generative AI, retrieval-augmented generation (RAG), vector search, or AI Agent implementations.
Added 20 hours ago
K
FULLSTACK ENGINEER
Kablamo
Toronto, ON
- Full-time
Experience using AI coding tools (such as Claude Code or Cursor) to help build software - from writing clear prompts for multi-file tasks to reviewing and guiding agent-generated output
Added 20 hours ago
FG
Site Reliability Engineer | Release Management & Automation Specialist
FDM Group
Toronto, ON
- Contract
FDM is seeking a Site Reliability Engineer located in Toronto to support a project in the Insurance sector. Involvement in this project is anticipated to last initially 24 months but may be…
Added 20 hours ago
RB
Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
AI and LLM development: Experience building autonomous AI agent systems, with working knowledge of LLMs (transformers, tokenization, embeddings), prompt engineering, fine-tuning, RAG, and…
Added 21 hours ago
FI
Quality Engineer - Mainframe
FP Inc.
Toronto, ON · Scarborough, ON
- $50 to $65 CAD / hour
- Contract
Introduce and influence overall process improvements and act as an agent for change to the organization.
Added 21 hours ago
W
Senior AI Engineer - Oncology Biometrics
WATAR-AI
Canada
- Full-time
Hands-on agentic AI experience. Someone who has built application with agent workflows, using tools such as Claude Core or Codex, and can help design and build our internal AI systems
Added 21 hours ago
R
Full Stack Engineer
RBC
Vancouver, BC
- Full-time
AI and LLM development: Experience building autonomous AI agent systems, with working knowledge of LLMs (transformers, tokenization, embeddings), prompt engineering, fine-tuning, RAG, and…
Added 22 hours ago
VC
AI Engineer I | Ingénieur.e IA I
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
We're looking for an early-career AI engineer to join our Montreal team and ship product work from your first weeks. The team is lean, so your code reaches real hotels quickly, and you'll…
Added 22 hours ago
SA
Senior IT Engineer
Schema App
Remote, Canada
- Full-time
- Remote
…connections within it. As search evolves into AI-driven and agent-led experiences, that foundation becomes critical. That’s why we’re building the infrastructure enterprises need to control…
Added 23 hours ago
AI
AI Security Engineer
Avanciers Inc.
Toronto, ON
- $100,000 to $110,000 CAD / year
- Contract
Experience with AI red teaming, autonomous penetration testing, agent security, or AI-native security tooling.
Added 23 hours ago
KI
Senior Product Manager, AI Innovations Team, Operations Orchestration
Kinaxis Inc.
Canada
- Full-time
Build and maintain the unit-economics model from cost-to-serve upward: model tokens and compute per completed agent run, environment sizing, partner pass-through, and forward-deployed…
Added 23 hours ago
NR
AI Forward Deployed Engineer
Norton Rose Fulbright
Montreal, QC
- Full-time
We are seeking an AI Forward Deployed Engineer to join the Artificial Intelligence team within Norton Rose Fulbright Canada. This role will design, build, deploy, and optimize secure,…
Added 1 day ago
S
Senior Product Security Engineer
Snyk
Ottawa, ON
- $192,000 to $240,000 CAD / year
- Full-time
…the owning teams implement it. As a Senior Product Security Engineer (Platform), you'll pair deep GCP and AWS infrastructure experience with AI coding agents to turn threat models into…
Added 1 day ago
C
Marketing Engineer
Celebright
Ottawa, ON · Kanata, Ontario
- Full-time
…backlog. AI agents have broken that bottleneck. The Marketing Engineer will play a key role in evolving how we approach marketing: part marketer, part builder, part innovator. Using AI,…
Added 1 day ago
ET
Senior AI Engineer (Claude Code, Codex, Cursor)
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
🚀 We're hiring: AI Engineer | Downtown Toronto (Hybrid) | Full-Time

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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