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Added 11 mins ago
GD
Senior Human Factors Engineering Analyst
General Dynamics Mission Systems–Canada
Ottawa, ON
- $110,000 to $138,000 CAD / year
- Full-time
We have a new opportunity for a Senior Human Factors Engineering Analyst to join our Ottawa team. Working with HFE and UX practitioners, engineers, customers, and end users, you will serve…
Added 26 mins ago
SN
196-26-6 - Special Projects Officer
Six Nations
Ohsweken, ON
- Part-time
JOB SUMMARY: Reports to and works under the direction and supervision of the Senior Manager of Environment (Nation Building Sector)
Added 41 mins ago
AC
Senior Project Manager - Civil
Accenture Construct
Toronto, ON
- Full-time
Ensure design coordination and integration with civil works, track, signalling, Overhead Contact Systems (OCS), and third-party interfaces.
Added 41 mins ago
Director, Engineering, Pacific Link
Trans Mountain
Calgary, AB
…interfaces in design among terminals, facilities, pipeline systems, utilities, power infrastructure and existing…
Added 41 mins ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
As a Senior Application Developer within the Citizen and Business Services team, you will lead the design, development, modernization, and support of enterprise-grade applications and…
Added 41 mins ago
A
Senior Traction Engineer
Arcadis
Toronto, ON
- Full-time
The successful candidate will lead the engineering design, assurance and integration of transit traction power systems, including traction power substations (TPSS), switching stations,…
Added 57 mins ago
T
Manager, Operational Foundations
Thumbtack
Remote, Canada
- Full-time
- Remote
As the Manager, Operational Foundations, you will lead the team responsible for the systems, processes, and support capabilities that make partnerships easier to launch and scale. Reporting…
Added 1 hour ago
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Senior Data Warehouse Developer
Pinnacle
Toronto, ON
- Full-time
…while ensuring stability and business continuity for the legacy systems that will remain in production throughout the…
Added 1 hour ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.
Added 1 hour ago
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Business Continuity & Operational Resilience Lead (Hybrid, Toronto, ON or Burnaby, BC)
LifeLabs
Burnaby, BC · Toronto, ON
- $112,565 to $143,520 CAD / year
…laboratory diagnostic information and digital health connectivity systems, enabling patients and healthcare practitioners to diagnose, treat, monitor and prevent disease. We are passionate…
Added 1 hour ago
C
Capital Management Technology Engineering Lead - SVP
Citi
Mississauga, ON
- Full-time
Strong fundamentals in systems analysis, design patterns, SDLC including unit/integration test and CI/CD practices.
Added 1 hour ago
AW
Senior Developer - R&D Tools & Systems
Arctic Wolf
Waterloo, ON · Office - CAN - Ontario, Waterloo
- $75,000 to $246,000 CAD / year
- Full-time
We are looking for a highly skilled Senior Developer to plan, organize, and manage the design, build, and maintenance of reproducible lab environments to support integration with…
Added 1 hour ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
They provide leadership for technology strategy, infrastructure, business systems, cybersecurity, data governance, digital transformation, and artificial intelligence.
Added 1 hour ago
MS
Capture Director / Business Development
MDA Space
Ottawa, ON
- Full-time
49North Defence strengthens Canada’s sovereign defence capability by delivering integrated mission systems and multi-domain C4ISR integration, enabling trusted Canadian and coalition…
Added 1 hour ago
MS
Capture Director / Business Development
MDA Space
Ottawa, ON · Kanata, ON
- Full-time
49North Defence strengthens Canada’s sovereign defence capability by delivering integrated mission systems and multi-domain C4ISR integration, enabling trusted Canadian and coalition…
Added 1 hour ago
AW
Senior Developer - R&D Tools & Systems
Arctic Wolf
Waterloo, ON
- $75,000 to $246,000 CAD / year
- Full-time
We are looking for a highly skilled Senior Developer to plan, organize, and manage the design, build, and maintenance of reproducible lab environments to support integration with…
Added 1 hour ago
AG
Geologist II, Exploration
Alamos Gold Inc.
Dubreuilville, ON
- Full-time
Reporting to the Senior Exploration Geologist, the Exploration Geologist II independently coordinates and executes near-mine surface and underground exploration activities. The role…
Added 2 hours ago
TI
Machine Learning Engineer - Senior
TekStaff IT Solutions
Toronto, ON
- Contract
The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable…
Added 2 hours ago
MQ
Senior QA Analyst – IVR & Contact Centre Testing
Miipe Quality Solutions
Markham, ON
- $60,000 to $75,000 CAD / year
- Full-time
We are currently seeking Contact Centre / IVR QA professionals to join our team at the Senior QA Analyst and QA Consultant levels. The ideal candidates will have hands-on experience testing…
Added 2 hours ago
CM
Mechanical Engineering SME (Subject Matter Expert), Capital Projects
Cyclic Materials
Toronto, ON
- Full-time
This role acts as a senior member of the owner’s engineering team and is accountable for ensuring that mechanical design solutions are safe, reliable, operable, maintainable, and aligned…
Added 2 hours ago
C
Senior Application Developer- Azure
CIBC
Toronto, ON
- Full-time
You can demonstrate experience. 2-3 years as an Application Developer/Support and Integration Specialist wearing multiple hats to help support internal clients. You must have good knowledge…
Added 2 hours ago
Renewable Power Senior Engineer
Hatch
Mississauga, ON
Looking to take the next step in your career? Hatch is seeking a Senior Engineer, Renewable Power interested in the integration of Utility Scale Solar PV, wind, and BESS, to work as part of…
Added 2 hours ago
Solar Lead, Senior EOI
Hatch
Mississauga, ON
Looking to take the next step in your career? Hatch is seeking a Solar PV Lead interested in the integration of Utility Scale Solar PV Systems, to work as part of the eGRID team. Reporting…
Added 2 hours ago
B
ISO 20022 Product Manager
BMO
Toronto, ON · YNG
- Full-time
Supports end-to-end testing of ISO 20022 payment flows, including message validation, translation, enrichment, routing, screening, reconciliation, reporting, and downstream integration.
Added 2 hours ago
VC
Co-Regional Medical Director, Quality and Safety
Vancouver Coastal Health
Vancouver, BC
- Part-time
…Co-Regional Medical Director, Quality and Safety (RMDs) provide senior medical leadership for clinical quality, patient safety, and related clinical governance across Vancouver Coastal…

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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