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Added 15 mins ago
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Founding Product & Solutions Lead
Rainharbor
Toronto, ON
- Full-time
…want you in the room. If most of your recent work has been data pipelines, infrastructure or platform code with little direct client contact, this is not the right…
Added 45 mins ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 1 hour ago
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Senior Mechanical Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
…they meet today's needs and transition to more sustainable…
Added 1 hour ago
W
Mechanical Engineer Level II
Worley
Calgary, AB · Edmonton, AB
- Full-time
…they meet today's needs and transition to more sustainable…
Added 1 hour ago
W
Senior Mechanical Engineer
Worley
Markham, ON
- Full-time
…they meet today's needs and transition to more sustainable…
Added 1 hour ago
M
Solution Engineer - Cloud & AI Applications
Microsoft
Toronto, ON
- Full-time
As a Solution Engineer – Cloud & AI Applications, you’ll play a pivotal role in helping customers unlock the full potential of AI. You’ll guide them in understanding the art of the…
Added 1 hour ago
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Principal Software Engineer - Collateral Treasury Trading Platforms
HSBC
Toronto, ON
- Full-time
Bring expert-level Java development experience including the Java Virtual Machine (JVM), garbage collection, data structures and non-blocking input/output (I/O)
Added 1 hour ago
S
DCN Design for Manufacturing Engineer
SLB
Calgary, AB
- Full-time
SLB is seeking a highly motivated Design for Manufacturing (DFM) Engineer to join its Data Center business. This individual will serve as a key liaison between Product Design, Engineering,…
Added 1 hour ago
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Software Engineer, Machine Learning
Qualcomm
Markham, ON
- Full-time
Our team does not work in data science, build models or train models
Added 1 hour ago
S
DCN Design for Manufacturing Engineer
SLB
Calgary, AB
- Full-time
SLB is seeking a highly motivated Design for Manufacturing (DFM) Engineer to join its Data Center business. This individual will serve as a key liaison between Product Design, Engineering,…
Added 3 hours ago
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Forward Deployment Engineer
''
Toronto, ON
- Full-time
The Forward Deployment Engineer is accountable for owning high-value AI use cases from problem discovery through delivery, adoption, and measured business value. This role embeds directly…
Added 3 hours ago
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Sr Functional Engineer, SAP - 12 month contract
''
Toronto, ON
- Full-time
- Temporary
Strong analytical capabilities, including the ability to evaluate data, develop alternative solutions, and make recommendations that support business outcomes.
Added 3 hours ago
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Associate Cloud Engineer
''
Florenceville-Bristol, NB
- Full-time
McCain is seeking an Associate Cloud Engineer to join our Infrastructure, Engineering & Operations team. In this early-career role, you will help deploy, operate, secure, and monitor cloud…
Added 3 hours ago
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Master Data Management Engineer
''
Toronto, ON
- Full-time
Position Title: Master Data Management Engineer
Added 3 hours ago
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Data & AI Solution Architect
SaskTel
Regina, SK
- Contract
At SaskTel, this position is referred to as Client Technology Manager-IS (Corp Data Management)
Added 3 hours ago
Agentic Evaluation & Testing Specialist, Kitchener, ON
Siemens
Kitchener, ON
About Siemens Digital Industries Operations Software: It is a suite of integrated digital solutions to engineer, simulate and operate manufacturing operations across industries. Operations…
Added 3 hours ago
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Sr AI Engineer
Nutrien
Saskatoon, SK
- Full-time
…translating business opportunities into production-ready AI solutions and reusable AI capabilities, while raising the engineering bar through code review and mentorship of junior AI…
Added 3 hours ago
N
Sr AI Engineer
Nutrien
Calgary, AB
- Full-time
…translating business opportunities into production-ready AI solutions and reusable AI capabilities, while raising the engineering bar through code review and mentorship of junior AI…
Added 3 hours ago
M
RQ11673 - Report Developer - Junior
Maarut
Toronto, ON
- Contract
We are seeking a Data Engineer / Software Developer to
Added 4 hours ago
MI
AI Orchestrator Student
Mawer Investment Management
Calgary, AB
- Full-time
…where AI can add value and turn promising ideas into reliable…
Added 4 hours ago
RL
Calibration Engineer - Solutions Chemistry (12-month contract)
RBR Ltd.
Ottawa, ON
- $70,000 to $90,000 CAD / year
- Contract
…deepest trenches to the polar ice caps, capturing essential data on water temperature, salinity, pH, and more. This data empowers researchers in the global fight against climate change, and…
Added 4 hours ago
TS
Associate – Front Office Quant Engineer
TD Securities
Toronto, ON
- Full-time
Global Equity Derivatives (GED) is seeking a highly motivated Front Office Quant Engineer to design, develop, and maintain technology solutions that enhance the productivity and…
Added 4 hours ago
MF
Associate Cloud Engineer
McCain Foods
Florenceville-Bristol, NB
- Full-time
McCain is seeking an Associate Cloud Engineer to join our Infrastructure, Engineering & Operations team. In this early-career role, you will help deploy, operate, secure, and monitor cloud…
Added 4 hours ago
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Principal Application Engineer (Salesforce)
PointClickCare
Mississauga, ON
- $135,300 to $169,100 CAD / year
- Full-time
PointClickCare is searching for a Principal Application Engineer who will lead application development by writing and rigorously defending production-grade application code and…
Added 4 hours ago
E
Software Engineer II
Emburse
Toronto, ON
- Full-time
Emburse software engineers contribute to the development of an engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve…

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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