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Added 1 month ago
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Agentic AI / Data Engineer - DC GPU
AMD
Oro-Medonte, ON
- $156,000 to $234,000 USD / year
- Full-time
You are equal parts data engineer and applied AI engineer. You think about agents as data systems: what context they retrieve, what memory they accumulate, what tools they invoke, and how…
Added 1 month ago
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Process Engineer Co-op/Intern
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
At Lumentum, we’re building the tech behind the world’s fastest networks and most advanced systems. Our optical and photonic solutions power everything from AI and cloud computing to data…
Added 1 month ago
Staff Engineer - Frontend
Munich Re
Toronto, ON
Define and own shared frontend platform capabilities used across multiple applications, including design systems, component libraries, authentication and session management, multi-tenancy…
Added 1 month ago
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Physical AI Engineer
EY
Toronto, ON
- Full-time
…with, prototype, evaluate, and demonstrate AI-enabled physical systems before deploying them into real-world…
Added 1 month ago
TA
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
- Full-time
We are looking for Forward Deployed Engineer (FDE) - Data Architect, who will directly engage with cross-functional business, AI, and engineering teams to design and deploy scalable,…
Added 1 month ago
GD
Intermediate ISTAR Software Developer
General Dynamics Missions System International
Ottawa, ON
- $75,000 to $85,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Lead Machine Learning Engineer to join our new AI Innovation teams in Toronto - a bold initiative building the AI-powered future of financial analysis. We're not…
Added 1 month ago
Sr. Systems Engineer, Ruckus
Belden Inc
Cobourg, ON
We are seeking a Systems Engineer to support our Eastern Canada territory, serving our customers, partners, and Canadian Federal Government clients. Candidates must be based in the Montreal…
Added 1 month ago
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Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…building the next generation of ERP Financial and Accounting systems. We have an entrepreneurial mindset with a focus on creating delightful, intelligent experiences, leveraging the…
Added 1 month ago
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Senior Enterprise Software Developer
Motorola Solutions
Vancouver, BC
- Full-time
The MSI System Application Engineer team comprises both software and hardware experts responsible for delivering seamless, end-to-end technological solutions. As part of this team, the…
Added 3 months ago
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Staff Data Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $210,000 to $270,000 USD / year
- Full-time
- Remote
…flowing reliably across hundreds of sources, pipelines, and…
Added 2 months ago
PG
AI Engineer
Pinpoint Global Communications
Canada
- Full-time
Design, develop, and deploy production-grade, secure AI systems using scalable polyglot microservices
Added 2 months ago
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Senior Software Engineer, AI
Calabrio
Canada
- Full-time
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 1 month ago
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Software Development Co-op
commonsku
Remote, Canada
- $3,500 to $4,800 CAD / month
- Full-time
- Remote
Learn and apply design patterns and coding standards to deploy solutions with team
Added 1 month ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that…
Added 2 months ago
C
Senior Design Verification Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
We are seeking a Senior Design Verification Engineer who can combine strong verification expertise with applied AI/ML collaboration to help build production-grade tools for chip…
Added 1 month ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on…
Added 5 months ago
PS
Senior Data Engineer
Pacific Smoke International Inc
Markham, ON
- $80,000 to $120,000 CAD / year
- Full-time
…the place for you! PSI is nothing without people who build, design, and support it. We’re looking for a Senior Data Engineer to join our scaling…
Added 1 month ago
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Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
…grounding, and optimizing large language models and agentic systems so our products behave predictably, defensibly, and at…
Added 1 month ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…the insights product leaders rely on. We are seeking an AI Engineer to build those agents for our Tax, Audit & Accounting product portfolio. You will take pre-trained models, LLM APIs, and…
Added 1 month ago
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Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
- Full-time
…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…
Added 2 months ago
LT
Software Engineer
Larus Technologies
Ottawa, ON
- Full-time
We are looking for enthusiastic, self-motivated individuals to join the Larus team as a Software Engineer. Our Software Engineering team is currently developing end-to-end real-time…
Added 2 months ago
PI
Senior QA Engineer – HIL & Test Automation
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
This is a hands-on role focused on testing systems that combine hardware, embedded/edge software, cloud services, and measurement workflows. You will develop and maintain automated test…
Added 2 months ago
C
Solution Architect
CPKC
Calgary, AB
- Full-time
Design and implement modern customer experience solutions and front-to-back-end application frameworks that enhance business performance, user experience, scalability, and operational…
Added 1 month ago
IA
Machine Learning Engineer
Invision AI
Remote, Canada
- Full-time
- Remote
We are looking for a Machine Learning Engineer to join our Toronto team and help us take our products to the next level in terms of visual intelligence.

B3 Systems

Sr. Data Engineer - AI & Data Science

Toronto, ON, M4T 2T5, Canada

Full-time

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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.

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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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