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Added 6 mins ago
Senior Developer
Scotiabank
Toronto, ON
…and services, including solution design, production support, engineering standards, operational readiness, and mentorship of other team…
Added 6 mins ago
SD
Business Analyst
Symbiotic Digital
Toronto, ON · Queen's Park Ontario Provincial Government, Ontario
- Contract
business process re-engineering concepts to improve efficiency and service
Added 21 mins ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- Full-time
Our client operates large-scale, technology-driven platforms that process enormous volumes of data and support complex, mission-critical applications. Their engineering environment is built…
Added 21 mins ago
VS
Software Systems Engineer - Interferometry/microscopy
VIAVI Solutions
Ottawa, ON
- Full-time
Develops software and tools in support of design, infrastructure and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, cloud-based and…
Added 21 mins ago
DevOps Engineer - Game Developer Experience
Electronic Arts
Vancouver, BC
Reporting to a Senior Engineering Manager within the Game Developer Experience (GDX) team, you'll design, build, and maintain enterprise-grade development pipelines for EA's video games and…
Added 21 mins ago
GD
AI Governance & Risk Manager
General Dynamics Missions System International
Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 21 mins ago
GD
Manufacturing Engineering Specialist, Intermediate
General Dynamics Missions System International
Ottawa, ON
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 21 mins ago
T
DevOps Engineer
TEEMA
Montreal, QC
- $65 to $77 CAD / hour
- Contract
Design, develop, and support CIAM platforms, including front-end, back-end, APIs, and identity services.
Added 21 mins ago
GT
Sr QA Engineer (POS)
GSPANN Technologies, Inc
Vancouver, BC
- Contract
…to provide the highest quality for each release across both platforms. Support high quality automation test engineering, QA best practices, test strategy and principles. Perform other…
Added 36 mins ago
AI Engineer
Eclipse Automation
Cambridge, ON
Eclipse Automation is advancing a multi-year digital transformation that connects AI, engineering data, simulation, and enterprise systems to change how custom automation machines are…
Added 36 mins ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- $113,900 to $147,000 CAD / year
- Full-time
Our client operates large-scale, technology-driven platforms that process enormous volumes of data and support complex, mission-critical applications. Their engineering environment is built…
Added 36 mins ago
II
Embedded Electrical Engineer
Intero Integrity
Toronto, ON
- Full-time
…development and the continued evolution of commercial inspection platforms combining electronics design, PCB development, electrical system design, testing, troubleshooting, and engineering…
Added 36 mins ago
MT
Controls Engineer
Modern Technical Staffing Inc.
Toronto, ON
- Full-time
Overview Lead the design, standardization, and migration of control system hardware/software as we unify multiple controller platforms into a single Soft PLC architecture. This role focuses…
Added 51 mins ago
C
Database developer Smartstream TLM SME Senior Engineer
Citi
Mississauga, ON
- Full-time
Demonstrate hands-on experience building and supporting Cash, Securities, Internal, and Inter-System Reconciliation solutions.
Added 1 hour ago
A
Director, Digital & Information Management
AtkinsRéalis
Mississauga, ON · Toronto, ON
- Full-time
…lifecycle data management, and regulatory compliance across engineering, procurement, construction, and commissioning…
Added 1 hour ago
C
Senior Broadcast Technologist (T & I) (On-site)
CBC/Radio-Canada
Toronto, ON
- Full-time
At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values,…
Added 1 hour ago
AI
Technical Product Manager - Platforms & Integrations
Accurant International
Remote, Canada
- $120,000 to $140,000 CAD / year
- Full-time
- Remote
We are seeking a technically strong, hands-on Technical Product Manager – Platforms & Integrations to help build and scale our Distributed Energy Resource Management System (DERMS) and…
Added 1 hour ago
Principal Product Designer
Momentum Financial Services Group
Toronto, ON
Partner closely with the design system engineer and product engineering teams to maintain alignment between Figma, design tokens, coded components, Storybook, and production behaviour.
Added 1 hour ago
M
RQ11674 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Executes functional, integration, system, and regression
Added 1 hour ago
Senior Consultant, Professional Services
Bell
Montreal, QC
Reporting to the Senior Manager, Delivery Assurance, the Senior Consultant is responsible for the technical engineering and design of data transmission network solutions. In this role, you…
Added 1 hour ago
GD
AI Governance & Risk Manager
General Dynamics Mission Systems–Canada
Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 1 hour ago
GD
Subcontract Program Manager
General Dynamics Mission Systems–Canada
Ottawa, ON
- $125,000 to $165,000 CAD / year
- Full-time
…solutions, training and simulation environments, and data management platforms. We collaborate closely with defense partners to deliver reliable, effective, and operationally relevant…
Added 1 hour ago
GD
AI Governance & Risk Manager
General Dynamics Mission Systems–Canada
Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 1 hour ago
Senior Software Integration Engineer - Assistant Vice President
iCapital
Toronto, ON
…throughout the software delivery lifecycle. This role champions engineering standards across the integration…
Added 1 hour ago
B
Solution Architect, Manufacturing & Engineering
BRP
Montreal, QC
- Full-time
…governing end-to-end technology solutions supporting manufacturing, engineering, and supply operations across the enterprise. This role ensures that Product Lifecycle Management (PLM),…

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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