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Added 2 months ago
SQ
AI Engineer (GPU & LLM Optimisation) – Canada / UAE / Remote
SuperQ Quantum Computing
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
SuperQ is looking for an AI Engineer specializing in GPU and LLM optimization to maximize the performance, scale, and efficiency of the models powering our multi-agent architecture. You…
Added 2 months ago
E
Senior Quality Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Starfield
- Full-time
The Senior Quality Engineer is a recognized subject‑matter expert and quality leader responsible for ensuring products consistently meet or exceed established quality, reliability, and…
Added 2 months ago
FV
Senior Software Engineer
Forum Ventures
ON
- Full-time
…patented statistical models to analyze organic social media data, askpolly provides near-instant, statistically valid insight into market reactions, election outcomes, and messaging…
Added 2 months ago
AN
Expert/Principal Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of…
Added 2 months ago
BS
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
- Full-time
…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…
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 1 month ago
JC
Senior Advanced Manufacturing Quality Engineer (NPI Quality)
Johnson Controls
Edmonton, AB · SA - Edmonton Orion
- Full-time
Join Silent-Aire - Powering the World’s Data Centers
Added 2 months ago
C
Senior Consultant – Operational Systems & Digital Solutions
CIMA+
Toronto, ON
- $125,440 to $172,440 CAD / year
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 2 months ago
CM
Machine Learning Engineer
Clarius Mobile Health
Toronto, ON
- Temporary
Clarius Mobile Health is seeking a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while advancing our next-generation…
Added 2 months ago
C
Senior DevOps Engineer
CARET
Toronto, ON
- Other
The Senior DevOps Engineer designs, automates, and operates secure, scalable, and resilient Microsoft Azure cloud platforms. This role serves as a senior technical owner across…
Added 2 months ago
Software Engineer, Product
Asana
Vancouver, BC
We are looking for a Software Engineer to join our Product team in Vancouver, where we build features end-to-end, from designing our data models to implementing the subtle interaction…
Added 2 months ago
Full-Stack AI Engineer
Appnovation Technologies
Toronto, ON
As a Full-Stack AI Engineer, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a strong bias…
Added 2 months ago
C
Aerospace In Service Engineer - RFC
Capgemini
Montreal, QC
- $73,556 to $114,316 CAD / year
Added 2 months ago
PI
Senior QA Engineer – HIL & Test Automation
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Palitronica is looking for a Senior QA Engineer with strong hardware-in-the-loop (HIL) and test automation experience to help ensure the reliability and repeatability of our Anvil platform.
Added 2 months ago
V
Solutions Impact Engineer
veritree
Vancouver, BC
- $93,544 to $108,186 CAD / year
- Full-time
veritree is seeking an Impact Solutions Engineer to own the commercialization of our restoration portfolio: turning every project we plant into a sales-ready package, and acting as the…
Added 2 months ago
FS
Site Reliability Engineer
Future Secure AI
Toronto, ON
- Full-time
We are looking for a Site Reliability Engineer to help design, build, and operate the platforms that power AI Co‑Workers. This is a hands‑on role for an engineer who enjoys owning…
Added 1 month ago
R
System Architect Verification Engineer
Ranovus
Ottawa, ON
- Full-time
…next-generation co-packaged optics (CPO) solutions for AI and data center interconnects. Our Odin optical engine integrates a Quantum Dot Multi-Wavelength Laser, Photonic Integrated Circuit…
Added 2 months ago
CP
Senior Cyber Security Engineer
CAAT Pension Plan
Toronto, ON · Head Office
- Full-time
We are seeking a Senior Cybersecurity Engineer for our Information Technology team. The Senior Cyber Security Engineer will play a critical role within the Security Operations team,…
Added 4 months ago
SA
Manufacturing Equipment Engineer
Stelumar Advanced Manufacturing Inc.
Canada
- Full-time
The Manufacturing Equipment Engineer leads the design, installation, and continuous improvement of the manufacturing equipment and machinery that keep our production sites running. This…
Added 2 months ago
R
Senior Software Quality Engineer
Relay
Remote, Canada
- Full-time
- Remote
Tell the quality story with data - gathering defect and quality data from across our systems and presenting it to engineering leadership and executives.
Added 2 months ago
BT
Senior Director, MSAT
BlueRock Therapeutics
Toronto, ON
- Full-time
…platform, we direct cellular differentiation and genetically engineer cells to create transformative therapies for patients suffering from neurological and ophthalmological…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Calgary, AB
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Vancouver, BC
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…

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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