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Added 31 mins ago
T
Senior Data Engineer
Taiv
Winnipeg, MB
- Full-time
We are looking for a Senior Data Engineer to join our growing team!
Added 46 mins ago
E
Sr DevOps Engg - AWS
emergiTEL
Toronto, ON · Etobicoke, ON
- $150,000 to $170,000 CAD / year
- Full-time
emergiTEL is hiring a Senior DevOps Engineer – AWS for our client in the fintech / cryptocurrency industry. This is a Permanent role.
Added 15 hours ago
M
Senior Analytics Engineer - GTM
Motive
Vancouver, BC
- Full-time
As Senior Analytics Engineer - GTM, you’ll play a key role in helping our GTM team grow our business. You’ll report to the Director of Business Intelligence joining a centralized global…
Added 16 hours ago
RI
AI Engineer
Remarcable, Inc.
Remote, Canada
- Full-time
- Remote
Experience with lakehouse or modern data stack tools (e.g., Databricks, Snowflake, dbt).
Added 18 hours ago
AP
Senior Data Engineer
Alpine Peak Management
Toronto, ON
- Contract
Experience with dbt, Snowflake Openflow, Apache NiFi or comparable data integration and transformation tools.
Added 22 hours ago
ES
Data Engineer – Snowflake, AI/ML
Enterprise Solutions Inc.
Markham, ON
- Contract
We are seeking an experienced Data Engineer with strong expertise in Snowflake, Snowflake AI/ML, Data Science, dbt Core, AWS Cloud, and modern data engineering practices. The ideal…
Added 1 day ago
PG
Platform Engineering – Data Infrastructure III
Peoples Group
AB · Vancouver, BC · Toronto, ON · Calgary, AB
- Full-time
Experience operating data platforms or tooling (Snowflake, Airflow, dbt, Kafka) an asset
Added 1 day ago
AC
Principal Presales Solutions Architect
Adastra Corporation
Markham, ON
- Full-time
Snowflake: warehouse sizing and cost control, Snowpark, data sharing, and Horizon governance.
Added 1 day ago
M
Staff Data Engineer
MeeruAI
Canada
- Full-time
We are looking for a Staff Data Engineer to build and own the major subsystems of the data foundation - the pipelines, connectors, and curated models that feed the platform's analytics and…
Added 1 day ago
I
Data Governance Architect
Infostrux
Toronto, ON
- Full-time
…data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier - a reflection of our deep expertise and…
Added 2 days ago
N
Marketing Engineer & Director of AEO
Notified
Toronto, ON
- Full-time
We are looking for a Marketing Engineer & Director of AEO to own how our brand is discovered, understood, cited, and recommended across search engines, answer engines, AI assistants, and…
Added 3 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
Deep expertise and Subject Matter Expertise (SME) in Snowflake and dbt, including data modeling, transformation, testing, deployment and performance optimization.
Added 4 days ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
Build the data and retrieval foundation: RAG, vector search, and MCP servers over our Snowflake and dbt marts.
Added 4 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
We are seeking a highly experienced, hands-on Lead / Principal Data Engineer with deep expertise in Snowflake, DBT, advanced SQL, and modern data engineering practices to support enterprise…
Added 4 days ago
L
Data Engineer
Luxoft
Canada
- Full-time
…Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation through good modeling, clean…
Added 4 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark, Snowpipes), Spark, and dbt.
Added 4 days ago
Agentic Analytics Engineer
Opendoor
Toronto, ON
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
Added 4 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
A MarTech/AdTech Engineer with strong experience in Retail Media Networks, Advertising Platforms, Cloud Data Engineering, Salesforce Marketing Technologies, Snowflake/Databricks, Identity…
Added 5 days ago
C
Senior Staff Data Engineer
Cohere
Remote, Canada
- $275,000 to $450,000 USD / year
- Full-time
- Remote
…orchestrate it in Airflow and Cloud Run, model the data warehouse in dbt, and serve the results through Looker, export APIs, and customer-facing analytics surfaces. Everything is…
Added 5 days ago
Principal AI Architect
Robots and Pencils
Canada
…cloud, data, and AI. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice…
Added 5 days ago
XI
Analytics Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
Hands-on Databricks experience: SQL Warehouses, AI/BI Dashboards, and Unity Catalog; or equivalent modern data stack experience (Snowflake, BigQuery+ Looker or dbt).
Added 6 days ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
- Full-time
We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector…
Added 6 days ago
S
Engineering Manager, Data
Super.com
Remote, Canada
- Full-time
- Remote
…huge part in this. We are long time advocates and users of Snowflake, DBT & Amplitude. This isn’t a place where we are convincing the business the value of data, or just using these tools…
Added 6 days ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Remote, Canada
- Full-time
- Remote
We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector…
Added 6 days ago
ES
Data Engineer - DBT Cloud
Enterprise Solutions Inc.
Markham, ON
- Contract
…impact data projects from inception through warranty 5 years of Snowflake dbtCoreCloud and AWS Cloud Technologies 5 years of experience with coding in multiple programming languages such as…

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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