Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 7 days ago
AA
Gestionnaire de projet en ingénierie / Project Manager, Engineering
Airbus Aircraft
Montreal, QC
- Full-time
Forte maîtrise de l'extraction, de l'analyse et de la visualisation de données (Excel/Google Sheets avance, SQL, Python, Qlik, Tableau, Apps Script, MS SQL, etc.);
Added 7 days ago
BO
IT & Systems Manager (AI-First)
Bells of Steel
Calgary, AB
- Full-time
You'll lead our small technical team: our AI and internal tools developer, a contract AI engineer, and the app developers we're hiring now. You'll set the rules for how we build and review…
Added 7 days ago
R
Manager, Product Control
RBC
Toronto, ON
- Full-time
Excellent Microsoft Excel (with VBA), Database and SQL/Python Skills and have explored automating processes using AI
Added 7 days ago
E
QA Specialist
Entrust
Ottawa, ON · Canada - Ottawa
- Full-time
Must have unrestricted work authorization in Canada
Added 7 days ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
As a Senior Application Developer within the Citizen and Business Services team, you will lead the design, development, modernization, and support of enterprise-grade applications and…
Added 7 days ago
FS
Python Software Developer – Computer Vision & Document Intelligence
Fi Systems
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
This role requires 2 days per week at our Boucherville office, with remote work for the remainder of the week
Added 7 days ago
CI
Senior Data Analytical Specialist / Scientist - Contract
Compugen Inc
Toronto, ON
- Contract
The ideal candidate will bring strong hands-on expertise in Python, SQL, statistical modelling, Azure Machine Learning, and Microsoft Azure AI technologies, combined with the ability to…
Added 7 days ago
CI
Senior Data Science Developer - Contract
Compugen Inc
Toronto, ON
- Contract
Advanced programming expertise in Python and SQL, with demonstrated experience developing production-quality applications.
Added 7 days ago
FI
Senior Data Science Developer
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Advanced hands-on proficiency in Python, SQL and ML frameworks, with demonstrated experience building, tuning and validating models using real-world datasets. Tech stack: Python, SQL, Power…
Added 7 days ago
E
Quality Assurance Specialist
Entrust
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
Must have unrestricted work authorization in Canada
Added 7 days ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments
Added 7 days ago
VP
System Integration Project Manager
Vista Projects Limited
Calgary, AB
- Full-time
…our core. We continually find better, smarter ways to design and deliver oil and gas projects, and we are proud to be contributing on some of the most exciting low-carbon and synthetic fuel…
Added 7 days ago
M
Senior Data Architect
Miratech
Mississauga, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 7 days ago
IS
Junior Data Analys
IO School
Canada
- Full-time
Familiarity with SQL for querying and extracting data is preferred.
Added 7 days ago
SI
Software Developer
Spait Infotech
Canada
- Full-time
Design, develop, and maintain software applications.
Added 7 days ago
TI
Machine Learning Engineer - Senior
TekStaff IT Solutions
Toronto, ON
- Contract
Strong Python and machine-learning engineering skills with demonstrated experience taking models from experimentation into reliable production environments. Tech stack: Python, SQL, Power…
Added 7 days ago
UO
Assistant Professor - Master of Data Analytics
University of Niagara Falls Canada
Niagara Falls, ON
- Full-time
Work arrangement: Onsite hybrid, Minimum 2 days per week
Added 7 days ago
ES
Artificial Intelligence Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
Design develop and deploy production grade Machine Learning and Generative AI solutions Build intelligent systems including predictive ML models covering complete model lifecycle management…
Added 7 days ago
T
Data Science Developer - Senior/Senior Data Scientist / ML Engineer
ThoughtStorm
Toronto, ON
- Contract
Advanced proficiency in Python and SQL for data analysis, model development, and processing real-world datasets.
Added 7 days ago
SL
ServiceNow Associate Software Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Solid understanding of SQL and relational databases
Added 7 days ago
KC
Senior Data Consultant – Databricks
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Location: Hybrid - Toronto or Montreal, Canada (2 days per week in the office)
Added 7 days ago
TR
Data Developer III
Teck Resources Limited
Vancouver, BC · Greater Vancouver, BC
- $107,000 to $132,000 CAD / year
- Full-time
Develop and maintain data processing solutions using Python and SQL for data ingestion, transformation, and analytics, leveraging Databricks, Spark, Apache Kafka, Azure Event Hubs,…
Added 7 days ago
CA
Data Engineering & Platforms Manager
Canadian Addiction Treatment Centres (CATC)
Markham, ON
- Full-time
Reporting to the Director of Information Technology, the Manager will have primary responsibility for CATC's Azure SQL data warehouse and the Python, SQL and dbt-based pipelines,…
Added 7 days ago
R
Manager, AML Model Testing
RBC
Toronto, ON
- Full-time
Hands-on experience with SQL, SAS, Python and Dataiku for data processing, querying and automation.
Added 7 days ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Work Arrangement: 5 days per week in-office

QuantumBlack, AI by McKinsey

Data Engineer II - QuantumBlack, AI by McKinsey

Toronto, ON, Canada

Full-time

Apply on LinkedIn 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 on LinkedIn 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

Report this job

Work requirements

Jobs in Canada