Jobs in Canada

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Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 5 months ago
CM
Senior Systems Engineer
CanCap Management Inc.
Mississauga, ON
- $110,000 to $150,000 CAD / year
- Full-time
CanCap Group delivers fully managed programs for third-party financial institutions. We are hiring a Senior Systems Engineer to design, automate, and operate the core infrastructure our…
Added 2 months ago
FV
Senior Software Engineer
Forum Ventures
ON
- Full-time
This is a full-time role based in Ottawa, ON, operating on a hybrid schedule (4 days per week in-office)
Added 2 months ago
BS
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
- Full-time
Work with the ML lead and full-stack engineer to expose the layer as clean, reusable services.
Added 2 months ago
T
Senior Agentic Engineer
TribalScale
Toronto, ON
- Full-time
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
Added 2 months ago
S
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
You have 3+ years (6-10 years for Senior levels) of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in…
Added 2 months ago
D
Senior Product Engineer II - Fullstack
Docebo
Remote, Canada
- $123,400 to $164,500 CAD / year
- Full-time
- Remote
As the Senior Product Engineer II, you bring expert-level proficiency across backend and frontend development with the ability to design, build, and evolve complete features from data and…
Added 2 months ago
CO
Staff Android Engineer
Capital One
Toronto, ON
- Full-time
Improve software engineering practices – work within agile teams to design, develop, test, implement and support technical solutions across a full stack of development tools and technologies
Added 4 months ago
FD
Senior Software Engineer (Laravel/PHP, Node.js, React)
Frontier Dental CA
Markham, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are looking for a Senior Software Engineer to own the technical direction of our web platform and lead a small development team of 2–4 engineers. This is a hands-on leadership role where…
Added 2 months ago
CO
Staff Software Engineer - iOS
Capital One
Toronto, ON
- Full-time
Improve software engineering practices – work within agile teams to design, develop, test, implement and support technical solutions across a full stack of development tools and technologies
Added 2 months ago
PN
Senior Full-Stack Developer
Projekt Network
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
Eligibility: Must have existing legal authorization to work in Canada
Added 2 months ago
R
Senior Software Engineer (Voyager)
Relay
Remote, Canada
- Full-time
- Remote
…reinvent banking, and we’re looking for a curious, impact-driven Senior Software Engineer (Voyager) to join our growing team – someone who thrives on taking smart risks, experimenting…
Added 2 months ago
L
Senior Full-stack Engineer
Limbic
Remote, Canada
- Full-time
- Remote
We're seeking a Senior Full-stack Engineer who's motivated by seeing their work change outcomes for real people. You'll ship features end-to-end that patients and clinicians depend on every…
Added 2 months ago
Staff Engineer (Product)
Later
Vancouver, BC
We’re looking for a Staff Engineer to play a critical role in shaping the future of Later’s technology stack. This is a senior-level role for a highly skilled engineer who thrives in…
Added 3 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 2 months ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…
Added 2 months ago
M
Senior Software Engineer (Backend)
Motion
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer, you'll do full-stack development with a focus on backend: anything from building features to designing, implementing, and maintaining robust, high-quality…
Added 2 months ago
TM
Software Engineer
The MRG Group
Toronto, ON
- $85,000 to $130,000 CAD / year
- Full-time
We’re hiring software engineers at multiple levels (Intermediate & Senior) to help shape and scale the systems behind AdmitONE, our multi-product ticketing platform.
Added 2 months ago
JS
Senior Software Engineer (AI Integration & Modernization)
Jonas Software
Markham, ON · Canada - Markham - Ontario
- Full-time
We are hiring a Senior Software Engineer to own the design and delivery of production AI capabilities across a broad portfolio of software businesses. You will work directly with product…
Added 2 months ago
J
Manager, Software Engineering, Operations
Jobber
Remote, Canada
- Full-time
- Remote
Strong full-stack technical background, including design and architectural experience.
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 2 months ago
W
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod,…
Added 2 months ago
YI
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
Familiarity with front-end or full-stack technologies is a plus
Added 2 months ago
BV
Senior Full Stack Engineer, AI
Big Viking Games
Remote, Canada
- Full-time
- Remote
Hybrid, 4 days per week in office · This is a hybrid role based in Toronto, with an expectation of working in office three days per week
Added 2 months ago
Senior Agentic Engineer - JavaScript
TribalScale
Toronto, ON
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.

B3 Systems

Sr. Data Engineer - AI & Data Science

Toronto, ON, M4T 2T5, Canada

Full-time

Apply on b3systems.bamboohr.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Aug 28, 2026

Original job description

Senior Data Engineer - AI & Data Science

About the Role

B3 enables enterprise manufacturers to digitize their operations and leverage AI to dramatically enhance performance. As the Senior Data Engineer on our AI & Data Science team, you'll own the team's analytical data layer: the schemas, views, and pipelines that sit on top of our ingested client data and serve every analytics surface, monitor, and AI feature we build. Client data arrives through our existing ingestion and platform teams - your layer shapes it for analysis, APIs, and AI: designed once to serve many consumers, and kept correct and current.

This is a high-autonomy role on a small, senior team. You'll be the AI/DS team's authority on data architecture, the person we go to with the standing to set the standard for how this layer is designed and run. We're looking for cemented, production-proven skills: schemas you designed years ago that still hold, pipelines you owned through their failures, and storage decisions that held without needing review. You'll own a defined, growing data layer with priorities set by one team's roadmap, an architecture-and-ownership role, not a shared ticket queue.

About the Work

Design and standardize the DS data layer, tables, views, aggregates, and relations built over ingested client data structured so multiple consumers (analytics pages, APIs, LLM-driven features) share the same source of truth without re-cutting the schema for each new one.

Build and own the pipelines that keep this layer current: transformations, derived-table refresh scheduling, and the monitoring that proves update stability.

Own the quality bar for derived data: every table in this layer is validated for correctness and update stability before anything is built on it, complementing, not duplicating, the upstream ingestion checks owned by our data and QA teams.

Bring in external, non-client data sources end-to-end. Think whether, regional, or market signals, sourced, ingested, and structured so we can build correlations that reach beyond client data.

Drive communication and alignment across the company's data layers - working collaboratively with our ingestion and platform teams so the stack stays coherent end to end as our services add analytical queries, API serving, and AI-driven reads.

Work with the ML lead and full-stack engineer to expose the layer as clean, reusable services.

Evolve the layer as the platform grows, multi-level site structures, corporate-level aggregation, without breaking what's live.

No industrial background required. Our domain has its share of complex workflows and terminology, and genuine curiosity is what carries people through it. We'll help with the rest.

About You

5+ years of data engineering with production ownership, you will be the the accountable owner of schemas and pipelines a business ran on, not a contributor under someone else's architecture.

Expert SQL and data modeling: normalization judgment, indexing and performance, view and aggregate design built for multiple consumers.

Strong pipeline engineering: scheduling, idempotency, failure handling, monitoring and alerting. You know how updates break and design so they don't.

Solid Python for data work.

Self-sufficient by track record: you can point to architecture calls you made alone that held up.

Works cleanly across team boundaries: you build on upstream data owned by other teams, define clear contracts with them, and keep interfaces documented.

Clear communicator with non-specialists: your schemas and decisions are documented well enough for a small team to trust without re-deriving them.

Bonus Points

Azure stack: Azure SQL, Cosmos DB, App Services, Azure ML.

Industrial or manufacturing data: historians, sensors, downtime/event data, shift-based operations.

Experience shaping data for AI/LLM consumers - views and services a model can call safely.

Experience integrating external/public data sources (weather, market, geographic) into analytical products.

Near-real-time refresh or CDC/streaming patterns.

Small-team experience where you owned an entire data layer.

About the Office

All In, In Office – Centrally located at the corner of Yonge & St. Clair, we show up together, every weekday. Face-to-face time fuels our culture, speed, and creativity.
Built for Growth – We’re moving fast, keeping structure light, and rewarding people who take ownership and drive momentum.

If you’re driven by applied AI, enjoy working in the future, and want to build data science solutions that make a real impact, we’d love to meet you.

Note: This position reflects an existing vacancy. B3 Systems is proud to be an Equal Employment Opportunity employer. We truly appreciate your interest in joining our team. While we may not be able to connect with every applicant, we will reach out directly to those selected for next steps. No “artificial intelligence” tool will be used to screening, assessment or selection of applicants for this opportunity.

We celebrate diversity and are committed to creating an inclusive, supportive workplace where everyone can thrive. If you require any accommodations or support at any stage of the selection process, please let us know - we’re happy to help.

Apply on b3systems.bamboohr.com About employer

More about this job

Responsibilities

You will own the analytical data layer, designing schemas and pipelines that support analytics, APIs, and AI features. You will also drive communication across data teams to ensure a coherent, stable, and high-quality data architecture.

Requirements

The role requires 5+ years of production-proven data engineering experience with expert-level SQL and data modeling skills. Candidates must demonstrate self-sufficiency in architecture and the ability to build robust, scalable data pipelines.

Skills

Data Engineering
SQL
Data Modeling
Python
Azure
Data Architecture
Pipeline Engineering
API Design
Data Transformation
Database Schema Design
Performance Tuning
Monitoring
Alerting
Data Quality
Cloud Computing

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI
Data Science
SQL
Python
Azure SQL
Cosmos DB
Azure ML
Data Modeling
ETL
Data Pipelines
API
LLM
Data Architecture
Cloud Services
Manufacturing
Data Quality
Normalization
Indexing
CDC
Streaming
Analytics
Schema Design
Monitoring
Idempotency

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Work requirements

Jobs in Canada