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Added 4 days ago
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Photonics Test Engineer - Wafer Level
Xanadu
Toronto, ON
- Full-time
1+ years of experience coding APIs/Interfaces for instruments using SCPI, IVI, or other methods (preferably in python)
Added 4 days ago
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Senior Wind Energy Analyst
DNV
Toronto, ON
- Full-time
Contribute technical expertise to pre-construction energy assessments, independent engineer assignments, and technical due diligence reviews.
Added 4 days ago
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Senior Renewable Energy Analytics & Performance Lead
DNV
Toronto, ON
- Full-time
Contribute technical expertise to pre-construction energy assessments, independent engineer assignments, operational assessments, repowering studies, and technical due diligence reviews.
Added 4 days ago
AI
AI CyberSecurity Specialist
Agility IT
Toronto, ON
- Contract
Cybersecurity Research Engineer – AI Security & Agentic AI
Added 4 days ago
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Java Full Stack Engineer ( AI Engineering)
Astek
Montreal, QC
- Full-time
Experience with Python, SQL or NoSQL databases, data integration, caching, and data-intensive applications.
Added 4 days ago
CC
Post-Silicon Validation Engineer (Multiple Levels)
Celero Communications
Ottawa, ON
- Full-time
Contribute to scalable Python-based automation frameworks for test execution, regression, silicon characterization, data analysis, and reporting
Added 4 days ago
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Software Engineer
Cleer
Ottawa, ON
- Full-time
Python or TypeScript. You’re strong in at least one and comfortable working across the full stack.
Added 4 days ago
A
AI LLM Senior Analyst
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Minimum of 2 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
Added 4 days ago
XI
Analytics Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
As an Analytics Engineer for Network Intelligence on Data & AI team, you will bridge the gap between Xplore's raw network and operational data and the dashboards, KPIs, and self-serve…
Added 4 days ago
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Applied AI Engineer
Astek
Montreal, QC
- Full-time
Proficiency in Python and experience building APIs, integrations, and enterprise applications.
Added 4 days ago
Cloud Security Engineer
Momentum Financial Services Group
Toronto, ON
We are seeking a Cloud Security Engineer with deep AWS expertise to secure our cloud infrastructure, applications, and workloads. This role is responsible for designing and implementing…
Added 4 days ago
Post-Silicon Validation Engineer (Multiple Levels)
Celero Communications, Inc.
Ottawa, ON
Contribute to scalable Python-based automation frameworks for test execution, regression, silicon characterization, data analysis, and reporting
Added 4 days ago
MH
Forward Deployed AI Engineer
MaxPeople HR
Mississauga, ON
- Full-time
We are looking to hire a Forward Deployed AI Engineer with a focus on leading technical pre-sales, scoping commercially viable engagements, and building production applications and…
Added 4 days ago
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Software Engineer, Growth Platforms
EngRadar
Toronto, ON
- Full-time
As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our…
Added 4 days ago
Software Engineer - Agent Development
Infoblox
Burnaby, BC
We have an opportunity for a Software Engineer to join our Engineering team in Burnaby, reporting to the Engineering Manager. In this role, you will help design, build, and improve agentic…
Added 4 days ago
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Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
- Full-time
Petal is looking for an AI-First Data Engineer to join a small platform team building the next generation of our data platform, enabling advanced BI and enabling AI workflows across the…
Added 4 days ago
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AI Engineer Co-op
symplistic.ai
Woodbridge, ON
- $23 CAD / hour
- Internship
As an AI Engineer Co-op at Symplistic.ai, you will work directly with our engineering team to design, develop, test, and deploy enterprise AI applications and AI agents.
Added 4 days ago
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Senior Embedded Systems Engineer
Taiv
Winnipeg, MB · Greater Winnipeg Metropolitan Area
- Full-time
We are looking for a Senior Embedded Systems Engineer to join our growing team!
Added 4 days ago
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Forward Deployed Engineer
INVOKE
Montreal, QC
- Full-time
5+ Years of strong, full-stack software engineering fundamentals: comfortable across the frontend (React) and backend (Python, PostgreSQL)
Added 4 days ago
PC
AI Platform Engineer
Pyramid Consulting, Inc
Halifax, NS
- $42 CAD / hour
- Contract
Immediate need for a talented AI Platform Engineer. This is a 06+months contract opportunity with long-term potential and is located in Halifax, NS(Hybrid). Please review the job…
Added 4 days ago
TC
Artificial Intelligence Engineer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn,…
Added 4 days ago
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Hardware Engineer - New Grad
Ciena
Ottawa, ON
- Full-time
Experience with scripting languages (i.e Python, Tcl) and string parsing (i.e. RegEx)
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Machine Learning Engineer
Manulife
Toronto, ON
- Full-time
We are seeking an innovative and experienced Machine Learning Engineer to join our AI + Data team, a cross-functional group spanning Operations, Technology, and Marketing. Our team's…
Added 4 days ago
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Senior Full-Stack AI Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Senior AI Engineer, you will be responsible for Full-Stack Software Development i.e. building modern, cloud-based, and AI-enabled applications that help Manulife make decisions easier…
Added 4 days ago
GC
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…

Petal

Data Engineer – Data Platform (AI-Enabled)

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 30, 2026

Original job description

Petal is looking for an AI-First Data Engineer to join a small platform team building the next generation of our data platform, enabling advanced BI and enabling AI workflows across the organization.

This is not a traditional data engineering role. We are looking for someone who has already made the shift to AI-first development and can show, through real examples, how they use AI to deliver faster, better, and with greater leverage.

The successful candidate will help transform Petal into an AI-first organization by combining strong data engineering fundamentals with practical, hands-on expertise in AI-assisted delivery. They will be expected to work, teach, influence, and lead.

Our data platform serves customers, product and development teams, and internal business users. The vision is to make the platform AI-ready: governed, trusted, semantically rich, and designed for consumption by both humans and AI systems.

Candidates must be able to demonstrate how they use AI tools in real delivery work, not just experimentation.

What You Will Do

Partner with product, engineering, customer-facing teams, and business users to build trusted, well-modelled, AI-ready data products for customers, products, and internal use cases.
Help define and implement a semantic layer that makes data easier for humans, BI tools, and AI systems to consume.
Support a federated BI model where platform consumers can safely build their own insights.
Use AI tools daily to accelerate development, testing, documentation, debugging, analysis, and design.
Help establish practical AI-first development patterns for the team. Lead by example in using AI to increase productivity while maintaining quality, security, governance, and trust.
Ownership extends beyond development and includes the ongoing operation of services. Candidates should be ready to participate in our Enterprise On-Call and Incident Response Process.

What We Are Looking For

We are looking for someone who can clearly articulate their personal journey into Data Engineering and AI-first development, including real examples of how they have used AI to improve delivery.

You Should Be Able To Explain

Your expertise in Data Engineering
How your development workflow has become more productive because of AI.
- Which AI tools you use, and for what types of work.
How you validate, review, and improve AI-generated outputs.
- Where AI works well, where it fails, and how you manage those risks.
How you have helped others adopt AI-first ways of working.
Experience in regulated, privacy-sensitive, or healthcare-related data environments would also be helpful.

Required Capabilities

Strong data engineering experience, including SQL, data modelling, data processing pipelines, testing, documentation, and data integrations in Production environments.
Ability to build high-quality data products with clear ownership, definitions, tests, lineage, and governance.
Strong understanding of Ai-ready semantic modelling, metrics, business definitions, secure API data exposures, and self-service analytics.
A platform / product mindset rather than one-off solutions, supported by expertise in cloud infrastructure and DevOps, data architecture, and in building reusable capabilities.
Comfort working in a small team where ownership, initiative, and communication matter.
Demonstrable experience using AI tools in real engineering work, such as Cursor, Claude, ChatGPT, Copilot, or similar.
Ability to teach, coach, and influence others as Petal moves toward AI-first ways of working.
Experience in building Machine-Learning pipelines for enterprise-class software solutions.
We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph. Matillion
Understanding of French, both written and spoken, to collaborate with our Montreal-based team.
Ability to work during Eastern Time (ET) business hours.

Petal’s position on remote working

In our opinion, a company cannot claim to be modern, innovative and have the well-being of their team at heart, without attempting to integrate remote working to the level that their business model allows them to. Petal employees continue to benefit from the option of teleworking up to the maximum flexibility permitted by the nature of the position and the smooth running of operations.

Our Benefits

Recurring hybrid work allowance;
Compensation that recognizes your contribution;
4 to 6 weeks of paid vacation per year;
5 paid personal days per year ;
A group RRSP / DPSP plan with employer contribution;
A complete group insurance plan, from day 1;
An annual wellness allowance;
Access to the Lumino Health™ telehealth application;
Flexible work hours and more.

Petal is an active participant in the equal opportunity employment program, and members of the following target groups are encouraged to apply: women, people with disabilities, aboriginal peoples and visible minorities. If you are a person with a disability, assistance with the screening and selection process is available on request.

A quick important note: We’ve noticed that some external websites are posting our job openings under incorrect job titles. To find our real opportunities and join our team, please make sure to apply through our official careers page or our trusted partners. We can’t wait to hear from you!

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More about this job

Responsibilities

Build and operate trusted, governed, AI-ready data products and platform capabilities, including semantic models that support BI, self-service analytics, and AI consumption. Use AI tools in production engineering work, establish effective AI-first practices, and collaborate with and coach teams while participating in on-call and incident response.

Requirements

Candidates need strong production data engineering experience across SQL, modeling, pipelines, testing, integrations, governance, and cloud/DevOps, along with a platform-oriented mindset. They must demonstrate practical use of AI tools in engineering delivery, be able to teach and influence others, have experience building enterprise machine-learning pipelines, understand spoken and written French, and work Eastern Time business hours.

Skills

Data Engineering
SQL
Data Modeling
Data Pipelines
Data Testing
Data Governance
Semantic Modeling
Self-Service Analytics
Cloud Infrastructure
DevOps
Python
Machine Learning Pipelines
AI-Assisted Development
Prompt Engineering
French

Benefits

Hybrid Work Allowance
Paid Vacation
Paid Personal Days
Group RRSP/DPSP With Employer Contribution
Group Insurance
Wellness Allowance
Telehealth Access
Flexible Work Hours

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
dbt
Airbyte
Airflow
Python
Terraform
Kubernetes
Helm
Azure
Kafka
Debezium
GitLab
Matillion
Cursor
Claude
ChatGPT
GitHub Copilot
Prompt Engineering
Vector Databases
LangChain
LangGraph
Data Engineering
Data Modeling
Data Pipelines
Semantic Layer
Data Governance
Self-Service Analytics
Machine Learning Pipelines
DevOps
Incident Response

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