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Added 48 mins ago
TF
Validation Engineering Specialist II
Thermo Fisher Scientific
Whitby, ON
- Full-time
…focus will be on Continuous Process Verification (CPV). Compile data and scan of executed batch records, completes risk assessments, protocols and reports related to the validation of…
Added 48 mins ago
Controller II
Sofina Foods Inc
Calgary, AB
Reporting to the Director of Finance, the Controller is accountable for analysis of the financial and costing data for the Chicken division with a focus on the Calgary plant. This role is a…
Added 48 mins ago
AC
Commercial Risk Practice Leader
Aon Corporation
Vancouver, BC
- Full-time
Leverage data-driven insights to continuously refine performance, address challenges, and capitalize on emerging trends.
Added 1 hour ago
IQ
Postdoctoral Researcher - Quantum Artificial Intelligence
Institut quantique - Université de Sherbrooke
Sherbrooke, QC
- Full-time
Added 1 hour ago
Junior Ecologist
GHD Group Pty Ltd
Waterloo, ON
Collect, manage, analyze, and interpret fisheries, benthic, and other ecological data.
Added 1 hour ago
E
Scientist II
Evonik
Burnaby, BC
- Full-time
$77,900 Minimum – $103,800 Mid per year (salary to be determined by education, experience, knowledge, skills and abilities of applicant, internal equity, and alignment with market data)
Added 1 hour ago
T
Wealth Operations Officer II Preferred Candidate
TD
Toronto, ON
- Full-time
Completes transactions characterized by a combination of manual and automated processes, drawing information/data from several systems or applications
Added 1 hour ago
Pharmacy Assistant II - PT
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Fredericton, NB
Added 2 hours ago
B
Director, Health and Safety
B2GOLD
Vancouver, BC
- $245,000 to $300,000 CAD / year
…cause analysis system is maintained at each operation. Collect data, analyze trends and communicate across the organization the common reasons why accidents are occurring, including…
Added 2 hours ago
B
General Repair Technician III
BGIS
Ottawa, ON
- Full-time
Manages work order life cycle progressing the work form dispatched through to completion and records resolution data within service maintenance management database. Ensures work completed…
Added 2 hours ago
B
Senior Manager, Physical Security
BGIS
Markham, ON
- Full-time
Added 2 hours ago
MR
Mill Manager
MB Recruitment Canada
North Vancouver, BC
- $185,000 to $200,000 CAD / year
- Full-time
· Responsible of the proficient report writing and interpretation of data and have a strong solution chemistry knowledge.
Added 2 hours ago
RA
Staff Software Engineer, Platform
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 CAD / year
- Full-time
- Remote
Build and evolve distributed, event-driven systems, applying sound judgment around reliability, scalability, performance, and data consistency.
Added 3 hours ago
FC
Group, Claims Examiner II
First Canadian Financial Group
Edmonton, AB
- Full-time
Data entry to adjudicate health and dental claims in accordance with the terms and conditions of policy coverage with a high degree of accuracy.
Added 3 hours ago
OH
Law Clerk
Ontario Health
Toronto, ON
- Full-time
Added 3 hours 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 4 hours ago
AF
Everyday Financial Services (EFS) Practice Management Coach
ATB Financial
Calgary, AB
- Full-time
Analytical Thinking: Demonstrated capability to interpret pipeline and credit performance data to diagnose operational and training needs.
Added 4 hours ago
AG
Geologist II, Exploration
Alamos Gold Inc.
Dubreuilville, ON
- Full-time
…combines core logging, geological interpretation, drill planning, data quality, field oversight, and technical reporting, while supporting junior staff and contributing to exploration…
Added 4 hours ago
A
Clinical Research Associate II
AbbVie
Toronto, ON
- $81,000 to $131,000 CAD / year
- Full-time
Ensures quality of data submitted from study sites and assures timely submission of data, including appropriate reporting and follow-up for all safety events by site personnel.
Added 4 hours ago
A
Clinical Research Associate II
AbbVie
Vancouver, BC
- $81,000 to $131,000 CAD / year
- Full-time
Ensures quality of data submitted from study sites and assures timely submission of data, including appropriate reporting and follow-up for all safety events by site personnel.
Added 4 hours ago
TS
TDS Operations Analyst II, Client Enablement
TD Securities
Toronto, ON
- Full-time
…managing, analyzing, and updating client, credit, and settlement data across TD Securities trading and credit risk systems. We are a global team that embraces and leverages data in a…
Added 4 hours ago
M
Senior Data Architect
Miratech
Mississauga, ON
- Full-time
We are looking for a Senior Data Architect to design the end-to-end data platform for APEX. The platform ingests contact centre telephony and quality data from the Genesys A3S Snowflake…
Added 4 hours ago
UO
Research Program Coordinator
University of Calgary
Calgary, AB
- Full-time
…health research, implementation research, administrative health data studies, and policy analysis and…
Added 4 hours ago
UO
Research Manager, Paediatrics
University of Calgary
Calgary, AB
- Full-time
Experience with ConnectCare and working with AHS data holdings is an asset
Added 4 hours ago
UO
UService Service Advisor - People & Culture and Payroll
University of Calgary
Calgary, AB
- Full-time
Documentation, Data Integrity, and Confidentiality

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)

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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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