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Added 5 months ago
QA
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
Added 1 month ago
P
Toronto Technology Audit & Advisory (Financial Services) Senior Consultant
Protiviti
Toronto, ON
- Full-time
Protiviti is looking for a Technology Audit & Advisory Senior Consultant to join our growing Financial Services team.
Added 1 month ago
P
Toronto Technology Audit & Advisory (Financial Services) Manager
Protiviti
Toronto, ON
- Full-time
…will also be a mentor, trainer, and coach to Consultants and Senior Consultants as you facilitate the successful completion of project work plans. By focusing on clients and engagements in…
Added 2 months ago
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Lead Data Engineer
Nasdaq
Toronto, ON
- Full-time
Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
Added 1 month ago
Senior Actuarial Analyst
Aviva
Markham, ON
Proficient in Microsoft Excel. Knowledge of Python and SQL
Added 3 months ago
RC
Senior Quality Assurance Software Developer – Analytics
Ribbon Communications
Montreal, QC
- Full-time
JOB TITLE Senior Quality Assurance Software Developer – Ribbon Analytics
Added 4 months ago
M
Principal Software Engineer
Morningstar
Toronto, ON
- Full-time
SQL & Programming: Expert proficiency in SQL (Postgres, SQL Server, etc) and strong development skills in Python (Python 3.x).
Added 3 months ago
M
Systems Engineer
Moneris
Toronto, ON
- Full-time
Reporting Relationship: You will report to the Senior Manager, Systems Infrastructure
Added 2 months ago
KS
Data Engineer
Kumaran Systems
Toronto, ON
- Full-time
We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI.
Added 5 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 CAD / year
- Full-time
Proficiency in one or more modern programming languages (TypeScript, Python, Go, Ruby, C#, Rust, etc.)
Added 5 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Move Your Career Forward with DAC a Senior Data Scientist
Added 3 months ago
Junior to Intermediate Data Engineer
Talents LGS
Montreal, QC
Collaborate with senior Data Engineers, Architects, and analytics teams.
Added 3 months ago
Senior Data Analyst
Government of Alberta
Edmonton, AB
…Agreements (LMTAs). Reporting to the Manager, Program Analytics, the Senior Analyst plays a key role in planning, designing, and implementing analytics, monitoring, and evaluation…
Added 3 months ago
R
Staff Software Engineer
RBGlobal
Burnaby, BC
- Full-time
Lead the design of scalable, resilient ETL/ELT data pipelines using dbt, Python, and SQL, establishing patterns and best practices for the team to follow.
Added 1 month ago
H(
Senior Business Analyst (Investment Valuation Solutions)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
Hands-on proficiency with SQL and Python, and the ability to read and reason about code in other languages.
Added 1 month ago
T
Data Analyst (BI Specialist)
Tayco
Toronto, ON · Etobicoke, ON
- $50,000 to $60,000 CAD / year
- Full-time
…manufacturing and business systems into reporting that management and senior management can act on. This position designs, builds, and maintains Power BI reports and data models, writes and…
Added 1 month ago
H(
Senior Business Analyst (Investment Valuation Solutions)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Hands-on proficiency with SQL and Python, and the ability to read and reason about code in other languages.
Added 2 months ago
KA
Data Engineer (Intermediate - Senior)
KF Aerospace
Kelowna, BC
- $73,000 to $114,000 CAD / year
- Full-time
…implementation of scalable data solutions using Microsoft Fabric, Azure, SQL Server, and Power BI…
Added 3 months ago
C
Senior Data Analyst
CarePartners
London, ON · Waterloo, ON
- Full-time
Use SQL, Python, and R to extract, clean, transform, analyze, and prepare data for reporting, dashboards, and business analysis.
Added 3 months ago
Sr Guidewire Developer -PolicyCenter
Aviva
Markham, ON
As a Senior Guidewire PolicyCenter Developer, you will be responsible for the design, configuration, and development of PolicyCenter solutions that support Aviva’s core policy lifecycle.…
Added 1 month ago
IS
Data Platform Engineer
ITMC Systems, Inc
Toronto, ON
- Contract
Job Overview We are seeking a Senior Backend Data Platform Engineer (10+ years experience) to design, build, and maintain our EMFI Data Application Platform, a high-throughput financial…
Added 1 month ago
R
Senior Data Engineer
RBC
Toronto, ON
- Full-time
Develop optimized SQL transformations for large datasets.
Added 1 month ago
P
Credit Tech senior Manager
PwC
Toronto, ON
- Full-time
Proficiency with modern data engineering and modeling tools and languages, such as Python, R, SQL, PySpark, and Spark
Added 3 months ago
TG
Senior Quality Assurance Engineer
TMX Group
Toronto, ON
- $65 to $85 CAD / hour
- Full-time
Database Capabilities: Robust RDBMS experience with the ability to write T-SQL and Stored Procedures across Oracle, MS-SQL, and DB2.
Added 2 months ago
Lead Software Developer
Geotab
Oakville, ON
…growth and deliver results! Geotab is seeking a Lead Software Developer who will be primarily responsible for designing, building and maintaining efficient, reusable, reliable code to…

QuantumBlack, AI by McKinsey

Senior Data Engineer I - QuantumBlack, AI by McKinsey

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jun 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 be a technical owner, designing and leading the implementation of scalable data architectures for cutting-edge AI and agentic systems.

You will lead the development of robust data pipelines, manage secure and governed data environments, and mentor junior colleagues while collaborating with clients and cross-functional teams. You'll tackle impactful challenges and grow as a leader by architecting innovative AI solutions across diverse industries.

You will own and deliver technical workstreams, designing machine learning, agentic, and autonomous AI systems. You'll lead the integration of machine learning, Generative AI capabilities and agentic frameworks into client solutions, designing MLOps/LLMOps-focused architectures for model management, observability, and automated retraining. You will also spearhead the design of complex feature engineering workstreams, ensuring our data assets are not only robust but also optimized for the next generation of AI models.

Your work will help solve some of the most complex and high-impact challenges facing clients across industries. By partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll lead the creation of innovative enterprise-grade machine learning systems that accelerate AI adoption and solve critical business problems at speed and scale. You will be instrumental in shaping how we build and deploy high-impact AI systems, enabling clients to achieve meaningful, lasting impact through technical innovation.

You'll be based in one of our North American offices as part of our global Data Engineering community. You'll work in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts, leading the data engineering workstream to deliver AI solutions. Collaborating with clients from data owners to C-level executives, you'll help design impactful solutions that address complex business challenges and build client capabilities.

You will grow as a technologist and a leader. You’ll develop deep expertise at the intersection of technology strategy and business value by addressing diverse architectural challenges. Working with inspiring, multidisciplinary teams, you’ll gain a holistic understanding of enterprise AI while collaborating with leading AI and data experts in the industry.

Your Qualifications and Skills

Degree in Computer Science/Engineering, or equivalent experience
5+ years of relevant professional experience in a data engineering role, with experience leading technical workstreams, mentoring junior engineers, and driving the adoption of software engineering best practices within a team
Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro, etc.)
Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost
Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC)
Deep knowledge of MLOps/LLMOps including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP)
Exceptional time management and ability to own technical workstreams autonomously
Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
Strong communication skills, both verbal and written, in English and local office language(s)

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More about this job

Responsibilities

You will design and lead the implementation of scalable data architectures for AI systems, manage data pipelines, and mentor junior colleagues. Collaborating with clients and cross-functional teams, you'll tackle complex challenges and deliver impactful AI solutions.

Requirements

A degree in Computer Science/Engineering or equivalent experience is required, along with 5+ years in a data engineering role. Candidates should have expert-level proficiency in Python and SQL, and experience with AI systems and data governance.

Skills

Python
SQL
Data Engineering
Machine Learning
Generative AI
MLOps
Data Security
Governance
Agile
Cloud Computing
Spark
Databricks
Airflow
Terraform
Communication
Mentoring

Benefits

Holistic Well-Being

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI
Machine Learning
Generative AI
MLOps
Python
SQL
Cloud Computing
Data Security
Governance
Agile
Spark
Databricks
Airflow
Terraform
Mentoring
Collaboration

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