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Added 4 mins ago
MI
Associate Director, Client Data Team
MUFG Investor Services
Halifax, NS
- Full-time
Added 4 mins ago
MI
Senior Associate, Business Intelligence & Reporting Developer
MUFG Investor Services
Toronto, ON
- $62,250 to $91,300 CAD / year
- Full-time
…support operational intelligence, KPI governance, workforce analytics, and strategic business decision-making across the…
Added 4 mins ago
RB
Manager, Product Control
Royal Bank of Canada
Toronto, ON
- Full-time
Accounting, Business Analytics, Financial Accounting Systems, General Ledger (GL), General Ledger Administration, Group Problem Solving, Microsoft Access, Microsoft Excel, Microsoft Excel…
Added 4 mins ago
RB
Manager, AML Model Testing
Royal Bank of Canada
Toronto, ON
- Full-time
Added 4 mins ago
IB
Inventory Analyst (12 Months Contract)
Indigo Books & Music
Toronto, ON
- $60,000 to $80,000 CAD / year
- Contract
Added 4 mins ago
B
Data Platform Engineer
BRP
Montreal, QC
- Full-time
Join BRP’s dynamic and inclusive Data & Analytics team in Canada, and help build and shape the Data and AI platform at one of the world’s most innovative companies. We are a team that…
Added 4 mins ago
CT
Team Lead, Space Planning
Canadian Tire Corporation
Toronto, ON · Retail City
- Full-time
Added 4 mins ago
Named Core Account Executive
Databricks
Toronto, ON
…Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified…
Added 19 mins ago
I
Inventory Analyst (12 Months Contract)
Indigo
Toronto, ON
- $60,000 to $80,000 CAD / year
- Contract
Added 19 mins ago
M
Credit Risk Specialist
Mindlance
Toronto, ON
- $60 to $65 CAD / hour
- Contract
Added 19 mins ago
VT
AI Engineer - Agentic AI, Commercial Banking
Vision Talent Co.
Toronto, ON
- Contract
Added 19 mins ago
DG
HR Business Partner
DHL Global Forwarding
Montreal, QC
- Full-time
Use workforce data, people analytics and business insights to diagnose trends, develop recommendations and support evidence-based decision-making.
Added 19 mins ago
TT
Senior Analyst, Performance Reporting (13928)
Toronto Transit Commission (TTC)
Toronto, ON · Greater Toronto Area, Canada
- $115,570 to $144,526.2 CAD / year
- Full-time
Strong working knowledge and experience with business intelligence, data analytics tools, and self-service platforms (e.g. SQL, Tableau, Power BI, Micro Strategy); working experience with…
Added 19 mins ago
BB
Accounting Manager
Big Box Outlet Store
Abbotsford, BC
- Full-time
Added 19 mins ago
MI
Associate Director, Client Data Team
MUFG Investor Services
Halifax, NS
- Full-time
Added 19 mins ago
MI
Associate, Portfolio Operations
MUFG Investor Services
Halifax, NS
- Full-time
Added 19 mins ago
LI
Content Marketing Manager
Lankin Investments
Vaughan, ON
- $75,000 to $85,000 CAD / year
- Full-time
Added 19 mins ago
TR
Prospect Development and Analytics Officer
The Royal Conservatory of Music
Toronto, ON
- $65,000 to $70,000 CAD / year
- Full-time
Under the direction of the Director, Development Services and Operations, the Prospect Development & Analytics Officer supports the development and optimization of the Royal Conservatory of…
Added 19 mins ago
CT
Team Lead, Space Planning
Canadian Tire Corporation
Toronto, ON
- Full-time
Added 19 mins ago
Director, Surveys and Geomatics
Infrastructure Ontario
Toronto, ON
…other units that includes the Research Unit and the Data and Analytics Unit and other teams within IO’s Data & Knowledge Management Department. The Director provides subject matter…
Added 19 mins ago
R
Growth Marketing Manager
Roadpost
Toronto, ON
- Full-time
Marketing Technology Proficiency. Experience with platforms such as Google Analytics, Looker Studio, Hubspot, and e-commerce tools, with the ability to quickly learn new technologies.
Added 19 mins ago
R
Digital Marketing Manager
Roadpost
Toronto, ON
- Full-time
Turn Data into Decisions. Use GA4, advertising analytics, and conversion tracking to monitor KPIs, evaluate performance, and recommend improvements based on reliable data.
Added 33 mins ago
B
Data Engineer
Buyerlink
Victoria, BC
- Full-time
Enable searching, data visualization, and advanced analytics - including building and maintaining dashboards and reports in Tableau and Power BI to drive self-serve analytics across the…
Added 33 mins ago
TP
Security Analyst
Toronto Parking Authority
Toronto, ON
- Full-time
Added 33 mins ago
Regional Manager, Workplace - Americas
Infoblox
Burnaby, BC
…AI-enabled tools to improve productivity, service delivery, analytics, automation, and decision support across the…

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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