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Added 1 hour ago
CC
Data Engineer
Canadian Cancer Society
Hamilton, ON
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 1 hour ago
PE
Senior Electrical Design Engineer - CAN-1071
PBX Engineering
Calgary, AB
- $124,800 to $166,400 CAD / year
- Full-time
PBX is looking for a qualified Senior Electrical Design Engineer to work with the Municipal Utilities team and other engineers in delivering projects in Alberta.
Added 1 hour ago
Q
AI and DSP Applications Software Engineer
Qualcomm
Markham, ON
- Full-time
We’re looking for an engineer with 1–3 years of experience, though new grads and more senior applicants are welcome. The candidate should have the following skills and experience:
Added 1 hour ago
Senior Full-Stack Developer
The Aldo Group Inc / Le Groupe Aldo Inc.
Montreal, QC
ALDO Group is seeking a Senior Full-Stack Developer to join our technology team.
Added 1 hour ago
TS
Sr Software Engineering Lead/ Architect
TalentSphere Staffing Solutions
Toronto, ON · North York, ON
- Full-time
Our client is seeking an experienced Senior Software Engineering Lead / Architect to join a product-focused engineering organization operating within a highly regulated environment.
Added 2 hours ago
BF
Automation Systems Engineer
BC Ferries
BC · British Columbia, Canada
- Full-time
We are seeking an experienced Automation Systems Engineer to join our Engineering Technical Services and Standards (ETSS) team. This role is responsible for providing technical oversight…
Added 3 hours ago
Développeur.se de logiciels sénior.e - applications réseau / Senior Software Developer - Networking
Electronic Arts
Vancouver, BC · Montreal, QC
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into core engine architecture. You will translate ideas…
Added 5 hours ago
SH
Maintenance Gasfitter
Sisler High School
Winnipeg, MB
- Full-time
…delivers infrastructure needs of the Division in consultation with senior administration, school administrators and community advisory…
Added 5 hours ago
SO
Senior Software Engineer, Dentrix Ascend
Software of Excellence
Surrey, BC
- Full-time
We are looking for a Senior Software Engineer to join our True North team and help build and evolve Dentrix Ascend for the US market.
Added 6 hours ago
K
Field Service Engineer- Calgary, AB
Kinectrics
Calgary, AB
- Full-time
Position: Field Service Testing Engineer HVST
Added 6 hours ago
CC
Data Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 6 hours ago
CC
Data Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 6 hours ago
LN
Senior Reliability, Maintainability & Safety Engineer
LGM North America
Montreal, QC
- Full-time
We are looking for a Senior Reliability, Maintainability & Safety Engineer to support our client on an assignment in aerospace industry. You will contribute to the assessment of aircraft…
Added 6 hours ago
CC
Data Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 6 hours ago
CC
Data Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 6 hours ago
CC
Data Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 6 hours ago
CC
Data Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 7 hours ago
CC
Data Engineer
Canadian Cancer Society
St. John's, NL
- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 7 hours ago
S
Utilities Engineer (Senior) - ALTO Project / Cadence
SYSTRA
Montreal, QC
- Full-time
Added 7 hours ago
AC
Senior Commissioning / Test Engineer
Amaris Consulting | Part of Mantu
Mississauga, ON
- Full-time
Amaris Consulting is looking for a Senior Commissioning / Test Engineer with hands-on experience in Overhead Contact System (OCS) commissioning, testing and troubleshooting.
Added 7 hours ago
S
Utilities Engineer (Intermediate) - ALTO Project / Cadence
SYSTRA
Montreal, QC
- Full-time
Conduct or support hydraulic analyses and other technical assessments under the direction of a senior engineer.
Added 7 hours ago
FC
Senior Workday Functional Specialist
Fanshawe College
London, ON
- Full-time
The Senior Functional Specialist leans on their deep Workday expertise and is responsible for analyzing business requirements, configuring and testing system solutions, supporting Workday…
Added 7 hours ago
BG
TEMPORARY BUILDING OPERATOR
BC General Employees' Union (BCGEU)
Burnaby, BC
- Full-time
…and direction through the Computerized Maintenance Management System (CMMS), completes assigned work in a timely manner, and maintains accurate completion…
Added 8 hours ago
BC
Principal Engineer – Underground Mining
BBA Consultants
St. John's, NL · Greater St. John's Metropolitan Area
- Full-time
As our mining and metals activities continue to grow, we’re seeking a senior mining engineer to join our outstanding Mining and Geology team. You’ll have the opportunity to work on a wide…
Added 8 hours ago
ES
Senior DevOps Engineer - EA Sports Technology
EA SPORTS
Vancouver, BC
- Full-time
The DevOps team is looking for an experienced DevOps Engineer to join our team. We’re looking for candidates with experience designing, deploying, and operating solutions in a public cloud…

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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