Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 4 months ago
E
Senior Fullstack Engineer (Node. js)
Experity
Chiasson Office, NB
- Full-time
Strong experience with SQL databases (PostgreSQL, SQL Server).
Added 3 months ago
BS
Tech Lead - ToolHound
Beacon Software
Remote, Canada
- Full-time
- Remote
Lead and grow the team. Mentor the current engineer, raise their ceiling, and establish the best practices.
Added 5 months ago
LI
DevOps Engineer
LanceSoft, Inc.
Montreal, Quebec
- Contract
The Senior DevOps & Python Platform Engineer designs, builds, and operates highly available enterprise content management platforms supporting both Application Enterprise Content Management…
Added 4 months ago
F
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
- $150,000 to $190,000 CAD / year
- Full-time
As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge…
Added 3 months ago
V
Senior Machine Learning Engineer
Vancity
Vancouver, BC
- Full-time
As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support…
Added 2 months ago
PC
Senior Automation Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
Skills - Must Have
Added 5 months ago
AT
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
- Contract
Must have development experience in Azure Integration Services
Added 2 months ago
Senior Platform Engineer - AI Platforms & Deployment - Landmark
Halliburton
Calgary, AB
PostgreSQL, SQL Server, MongoDB, Redis, Vector Databases
Added 2 months ago
Senior Associate Engineer, Security Platforms Engineering Support
Scotiabank
Toronto, ON
5 years of experience working with Linux, Shell, Python, SQL, Ansible, etc
Added 5 months ago
AL
Forward Deployed AI Engineer
Arkanis Labs
Remote, Canada
- $120,000 to $200,000 CAD / year
- Full-time
- Remote
…in when they have a real engineering problem and not enough senior bandwidth to solve it well: data infrastructure that's buckling, an LLM feature that breaks the moment real users touch…
Added 5 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…
Added 3 months ago
R
Senior Data Engineer
Relay
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Data Engineer to help us scale our data ecosystem as Relay enters an exciting new chapter of growth. This is a unique opportunity to be responsible for key…
Added 2 months ago
D
Data Engineer
Dexian
Toronto, ON · Greater Toronto Area, Canada
- Contract
Senior Power BI Developer / Data engineer – Capital & Risk Reporting
Added 2 months ago
KG
Traffic Engineering Lead
KGS Group
Winnipeg, MB
- Full-time
Computer programming experience would be an asset (Python, SQL, etc.)
Added 3 months ago
S
Senior Full-Stack Engineer
SweetTech
Montreal, QC
- Full-time
On the backend, you will build and maintain Python/FastAPI services with clean, well-documented APIs, model data with Pydantic and PostgreSQL-compatible SQL, and use Redis for caching and…
Added 3 months ago
VR
Forward Deployed Engineer
VSG Recruitment
Remote, Canada
- Full-time
- Remote
Experience with TypeScript and/or Python, React, SQL, APIs, integrations, and modern software architectures.
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 2 months ago
N
Lead Data Engineer
Nasdaq
Toronto, ON
- Full-time
As a Lead Data Engineer reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the…
Added 4 months ago
M
Principal Software Engineer
Morningstar
Toronto, ON
- Full-time
Location: Toronto, ON (Hybrid-4 days in Office)
Added 3 months ago
M
Systems Engineer
Moneris
Toronto, ON
- Full-time
Join the Platform Services and Systems Administration team as a hands-on Systems Engineer focused on defining, modernizing, and automating operating environment standards across Moneris'…
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
Clutch is seeking a Software Engineer (Full-Stack / Backend / Frontend) to help build and scale our technology platform. You will write clean, reliable code, design scalable architectures,…
Added 5 months ago
T
Senior Data Engineer (Python, Spark, Snowflake) - Toronto, ON
Techedin
Toronto, Ontario
- $65 to $72 CAD / hour
- Contract
Job Title: Senior Data Engineer (Python, Spark, Snowflake)
Added 3 months ago
Junior to Intermediate Data Engineer
Talents LGS
Montreal, QC
…Services), we are looking for a Junior to Intermediate Data Engineer – Hybrid Cloud & Data to contribute to the development and evolution of modern data…
Added 3 months ago
R
Staff Software Engineer
RBGlobal
Burnaby, BC
- Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…

QuantumBlack, AI by McKinsey

Senior Data Engineer I - 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
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)

Apply on LinkedIn About employer

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

Report this job

Work requirements

Jobs in Canada