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Added 10 mins ago
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva
Markham, ON
Aviva Canada is looking for a Data Engineer to support our enterprise data modernization journey. You’ll use your expertise across modern and legacy platforms to build robust data pipelines…
Added 10 mins ago
Bilingual Amazon Connect Engineer
Connex Telecommunications Inc.
Richmond Hill, ON
Bilingual Amazon Connect Engineer (English/French)
Added 10 mins ago
IT Support Engineer III
SHEIN
Canada
We are seeking a passionate and experienced Enterprise IT Engineer III to lead innovative, technology-driven initiatives across IT Foundation Services. This role will be instrumental in…
Added 10 mins ago
AM
Sr. Systems Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Understanding of digital systems, computer architecture, computer organization, and system-level hardware/software design.
Added 11 mins ago
H
Principal Engineer
Hays
Sudbury, ON
- Full-time
As the Principal Engineer, you will play a critical technical leadership role in the design, implementation, and optimization of underground backfill systems that support safe, reliable,…
Added 11 mins ago
PR
Lead Structural Engineer - Solar
Polar Racking Inc.
Mississauga, ON
- Full-time
Polar Racking Inc. is a North American leader in the design, engineering and manufacturing of PV mounting systems. We are at the forefront of PV innovation, leading the industry in…
Added 25 mins ago
ES
Substation Engineer in Training (EIT)
ENTRUST Solutions Group
AB · Calgary, AB
- Full-time
…includes all aspects of Transmission, Substation and Distribution systems for voltages ranging from 4160V to…
Added 40 mins ago
TT
Optical System Design Engineer
Teledyne Technologies Incorporated
Waterloo, ON · Canada - Waterloo, ON
- Full-time
Help build the optical systems behind the testing and characterization of high-performance semiconductor inspection cameras. As an Optical System Design Specialist, you’ll turn optical…
Added 40 mins ago
TT
Systems Design Engineer III
Teledyne Technologies Incorporated
Waterloo, ON · Canada - Waterloo, ON
- Full-time
…reliable, manufacturable products. As a Design Specialist in Systems Engineering, you’ll lead the technical integration of complex camera projects, bringing electronics, CMOS image sensors,…
Added 40 mins ago
Senior Developer
Scotiabank
Toronto, ON
The Product Onboarding team is seeking a hands-on Senior Engineer to design and deliver modern, cloud-native onboarding applications using JavaScript, TypeScript, MongoDB, Express.js,…
Added 40 mins ago
Senior Renewable Power Engineer
Hatch
Mississauga, ON
…sector includes renewable power, energy storage and hybrid systems, transmission and distribution, grid modernization and electrification, thermal, nuclear, waterpower, and in the oil and…
Added 40 mins ago
A
Manager, Alberta, Electrical
AtkinsRéalis
Calgary, AB
- Full-time
Serve as Project Manager, Discipline Lead, or Design Engineer on projects in various markets.
Added 40 mins ago
A
Manager British Columbia, Mechanical
AtkinsRéalis
Vancouver, BC
- Full-time
Serve as Project Manager, Discipline Lead, or Design Engineer on projects in various markets.
Added 40 mins ago
Staff Manufacturing Engineer
Tenstorrent
Toronto, ON
We're looking for a Staff Manufacturing Engineer to help build Tenstorrent's in-house ability to launch, stabilize and recover our hardware products as they scale across contract…
Added 55 mins ago
CF 18 AME (S) Level A
L3Harris Technologies
Cold Lake, AB
…(Hornet) Fighter Aircraft Program. The Aircraft Maintenance Engineer (AME M) supports aircraft availability and airworthiness through the performance of propulsion, powertrain, and…
Added 55 mins ago
CF 18 AME (M) Level A
L3Harris Technologies
Cold Lake, AB
…(Hornet) Fighter Aircraft Program. The Aircraft Maintenance Engineer (AME M) supports aircraft availability and airworthiness through the performance of propulsion, powertrain, and…
Added 55 mins ago
J
Senior Forward Deployed Engineer
Justworks
Toronto, ON
- $167,500 to $235,000 CAD / year
As a Forward Deployed Engineer, you will work closely with business leaders, operators, and frontline teams to identify where AI can make the biggest impact, redesign organizational…
Added 55 mins ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- Full-time
…platform capabilities and are looking for a talented Senior DevOps Engineer with a strong Site Reliability Engineering (SRE) mindset to help take these systems to the next…
Added 55 mins ago
P
Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
…strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive…
Added 55 mins ago
VS
Software Systems Engineer - Interferometry/microscopy
VIAVI Solutions
Ottawa, ON
- Full-time
…manufacturing use. We are hiring a full-stack software and systems engineer to own the software for our industrial microscopy inspection appliance and its companion PC application, from…
Added 55 mins ago
JS
Technical Engineer
JFE Shoji Power Canada Inc.
Burlington, ON
- Full-time
Reporting to the Technical Director, the Technical Engineer is responsible for independently reviewing, validating, and approving technical outputs to ensure accuracy, manufacturability,…
Added 55 mins ago
AC
Project Accountant
Accenture Construct
Toronto, ON
- Full-time
Experience with ERP/accounting systems (e.g., Vantagepoint)
Added 55 mins ago
I
Engineer - Acoustics & Vibration
Infotel
Toronto, ON
- Full-time
Our client, a leading aerospace manufacturer, is seeking an Acoustics & Vibration Engineer to join its engineering team in Toronto, ON. This role will focus on improving aircraft cabin…
Added 55 mins ago
KG
Technical Support Engineer
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
Dell Certified Systems Expert (DCSE) / Dell Certified Technician
Added 55 mins ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems

QuantumBlack, AI by McKinsey

Data Engineer II - QuantumBlack, AI by McKinsey

Toronto, ON, Canada

Full-time

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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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