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Added 3 mins ago
OT
Chef de Programme / Program Manager
OPAL-RT TECHNOLOGIES India Pvt. Ltd.
Montreal, QC
- Other
Added 3 mins ago
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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 3 mins ago
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Civil Engineer
HDR
Richmond Hill, ON · Toronto, ON
- Full-time
…environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of…
Added 3 mins ago
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Senior Substation Electrical Engineer
HDR
Calgary, AB · Vancouver, BC · Burlington, ON · Richmond Hill, ON · Toronto, ON · SK
- Full-time
The primary duties of the Senior Substation Electrical Engineer include responsibility for knowledge and execution of the technical aspects and deliverables of projects assigned and is an…
Added 18 mins ago
NM
Engineer, Mine Projects
Newmont Mining Corporation
BC · Kitimat-Stikine, British Columbia
- Full-time
As an Engineer, Mine Projects, you will support the successful delivery of site projects at Brucejack, helping ensure work is completed safely, on schedule, and to the required quality…
Added 32 mins ago
FM
Pipefitter (Site Based)
Fortis Mining Engineering & Manufacturing
Saskatoon, SK
- Full-time
Innovation– if it doesn’t exist, we will engineer and manufacture it
Added 32 mins ago
FM
Deckhand
Fortis Mining Engineering & Manufacturing
Saskatoon, SK
- Full-time
Innovation– if it doesn’t exist, we will engineer and manufacture it
Added 32 mins ago
FM
Underground Miner / Equipment Operator
Fortis Mining Engineering & Manufacturing
Saskatoon, SK
- Full-time
Innovation– if it doesn’t exist, we will engineer and manufacture it
Added 32 mins ago
FM
Construction Miner
Fortis Mining Engineering & Manufacturing
Saskatoon, SK
- Full-time
Innovation– if it doesn’t exist, we will engineer and manufacture it
Added 32 mins ago
GR
Structural Engineer
Goldbeck Recruiting
Delta, BC
- $150,000 to $165,000 CAD / year
- Full-time
Structural Engineer – Product Development & Innovation
Added 32 mins ago
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Welder (Site-Based)
Fortis Mining Engineering & Manufacturing
Saskatoon, SK
- Full-time
Innovation– if it doesn’t exist, we will engineer and manufacture it
Added 32 mins ago
FM
Welder Lead Hand
Fortis Mining Engineering & Manufacturing
Saskatoon, SK
- Full-time
Innovation– if it doesn’t exist, we will engineer and manufacture it
Added 32 mins ago
FM
Ironworker (Site-Based)
Fortis Mining Engineering & Manufacturing
Saskatoon, SK
- Full-time
Innovation– if it doesn’t exist, we will engineer and manufacture it
Added 48 mins ago
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Staff Software Engineer, Mobile (P4)
Twilio
Remote, Canada
- Full-time
- Remote
Join the team as Twilio's next Staff Mobile Software Engineer for Stytch, where you'll shape the next generation of identity and fraud prevention products.
Added 48 mins ago
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Project Engineer
Worley
Vancouver, BC
- Full-time
We are currently recruiting for a Project Engineer. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Vancouver, British Columbia.
Added 1 hour ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…
Added 1 hour 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 1 hour ago
Sr/Staff Digital Design Engineer
Lightmatter
Toronto, ON
We are hiring a Digital Design Engineer to help develop an ASIC for the next-generation artificial intelligence computing architecture alongside a team of world-class scientists and…
Added 1 hour ago
SH
Maintenance Gasfitter
Sisler High School
Winnipeg, MB
- Full-time
Power Engineering Asset: Possessing a valid Class 3 or 4 Power Engineer Certificate (or higher) is considered a distinct asset for managing institutional steam systems.
Added 1 hour ago
DA
Quality Engineer
DART Aerospace
Kirkland, QC
- Full-time
We are looking for a Quality Engineer to join our manufacturing operations in Kirkland, Quebec.
Added 1 hour ago
Senior Software Engineer (.NET)
Electronic Arts
Vancouver, BC
Added 1 hour ago
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Senior Civil Engineer
Worley
Edmonton, AB · Calgary, AB
- Full-time
As a Senior or Principal Civil Engineer, you will lead and deliver civil engineering solutions for environmental remediation, landfill, closure, restoration, and related infrastructure…
Added 1 hour ago
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Principal Electrical Engineer - High Voltage Power Systems
Fluor
Calgary, AB
- Full-time
Added 1 hour ago
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Critical Environment Electrical Engineering
Microsoft
Toronto, ON
- Full-time
…every day and we need you as a Critical Environment Electrical Engineer (Energy…
Added 1 hour ago
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Principal Mechanical Engineer - Power
Fluor
Calgary, AB
- Full-time
Professional Engineer (P.Eng.) registration in Canada.Experience with major gas turbine, steam turbine, generator, HRSG, boiler, and related OEM technologies and suppliers.

QuantumBlack, AI by McKinsey

Data Engineer II - QuantumBlack, AI by McKinsey

Toronto, ON, Canada

Full-time

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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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