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Added 10 days ago
C
Data Application Developer
CIBC
Toronto, ON
- Full-time
You can demonstrate relevant experience. You bring 2+ years of experience as a Data Application Developer with strong Oracle and SQL coding skills. You also have a solid understanding of…
Added 10 days ago
RS
Senior Business Intelligence Specialist
Ryan Specialty
Toronto, ON
- Full-time
Added 10 days ago
M
Senior Full-Stack AI Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Experience working with relational databases such as Azure SQL and PostgreSQL including SQL query development, application integration, data modeling concepts, and support for data-driven…
Added 10 days ago
GC
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Added 10 days ago
EC
Data Engineer
Experis Canada
Toronto, ON
- Contract
- Azure Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL.
Added 10 days ago
AS
Senior Data Engineer
Ardent SoftSol Inc.
Toronto, ON
- Contract
- Design, develop, and maintain scalable ETL/ELT data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake.
Added 10 days ago
ST
Senior Dotnet Developer
Software Technology Inc.
Toronto, ON
- Contract
We are looking for a Software Developer with 10+ years of experience in enterprise application development to join our Application Services team.
Added 10 days ago
A
Oracle DBA / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
…strong expertise in Oracle Database Administration, advanced PL/SQL development, database performance tuning, and AWS cloud database services. The ideal candidate will have hands-on…
Added 10 days ago
FR
Structured Credit & CLOs - Analyst - Toronto
Fitch Ratings
Toronto, ON
- Full-time
Proven track record of data-analysis of large datasets or working with programming tools, such as SQL, Python, VBA or comparable tools.
Added 10 days ago
TT
Senior Java / J2EE Developer
Tamanna Technology
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are seeking an experienced and detail-oriented Java / J2EE Developer to join our development team. In this role, you will design, develop, and maintain high-performance enterprise…
Added 10 days ago
T
Manager, Actuarial
TD
Markham, ON
- Full-time
Added 10 days ago
LV
DATA AND ANALYTICS DIRECTOR-EN
La Vie En Rose
Montreal, QC
- Full-time
Knowledge of data manipulation and advanced analytics languages (SQL, DAX, Python, etc.).
Added 10 days ago
TT
Financial Analyst
The TJX Companies, Inc.
Mississauga, ON · CAN Home Office Mississauga ON
- $61,582.5 to $86,215.5 CAD / year
- Full-time
Experience utilizing ERP software (i.e. Oracle), databases (i.e. TM1); experience using SQL, Alteryx, running and creating Macros/VBA code and/or data visualization tools (Power Bi, Fabric,…
Added 10 days ago
Analyst, Prime Trade Support Middle Office (GWO)
Scotiabank
Toronto, ON
Strong technical abilities including knowledge of basic software engineering principles and experience in SQL, VBA, Access, Excel and a sound understanding of operational processes
Added 10 days ago
Manager, Business Intelligence and Analytics (18 month contract)
Scotiabank
Toronto, ON
Strong technical expertise in Microsoft Power BI, SQL, and data modeling.
Added 10 days ago
Senior Analyst, Business Intelligence Systems
Scotiabank
Toronto, ON
Hands-on experience of SSMS, SQL Server Management Studio and SSIS, SQL Server Integration Services, and SSIS project deployment and SSRS, SQL Server Reporting Services
Added 10 days ago
MF
Trader
Mackenzie Financial Corporation
Toronto, ON · Greater Toronto Area, ON
- Other
Proficiency in Bloomberg and Microsoft Office. Coding in Python, SQL, VBA is an asset.
Added 10 days ago
Business Systems Associate
L3Harris Technologies
ON · Waterdown, ON
Advanced user of Microsoft tools with an emphasis on DevOps, Excel, PowerBI, T-SQL, and Visio
Added 10 days ago
S
Engineering Manager, Data
Super.com
Remote, Canada
- Full-time
- Remote
5+ years building production data pipelines and warehouse models, with strong SQL and working dbt proficiency. You can review a model and catch grain, fan-out and testing gaps
Added 10 days ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Remote, Canada
- Full-time
- Remote
Strong data engineering experience, including SQL, data modelling, data processing pipelines, testing, documentation, and data integrations in Production environments.
Added 10 days ago
SS
DevOps Technical Team Lead, VP
State Street
Toronto, ON
- Full-time
Improve platform reliability, security, observability, performance, and developer experience.
Added 10 days ago
SI
Python Developer
Spait Infotech
Canada
- Full-time
Knowledge of SQL databases such as MySQL or PostgreSQL.
Added 10 days ago
H
Senior Machine Learning Engineer
Hays
Toronto, ON · Greater Toronto Area, Canada
- Contract
Added 10 days ago
TC
HANA Developer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 10 days ago
BI
Python Developer – Generative AI Montreal, Canada
BURGEON IT SERVICES
Montreal, QC
- Contract
We are looking for an experienced Python Developer with hands-on expertise in Python and Generative AI to build scalable, AI-powered enterprise applications.

Petal

Data Engineer – Data Platform (AI-Enabled)

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Oct 5, 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!

Apply About employer

More about this job

Responsibilities

You will partner with cross-functional teams to build trusted, AI-ready data products and implement a semantic layer for improved data consumption. Additionally, you will lead by example in using AI tools to accelerate development while maintaining high standards for governance, security, and quality.

Requirements

Candidates must have strong data engineering experience and a proven track record of using AI tools in real-world engineering workflows. You should possess a platform-oriented mindset with expertise in cloud infrastructure, data modelling, and the ability to influence and coach others in AI-first development.

Skills

Data Engineering
SQL
Data Modelling
Python
Snowflake
DBT
Airflow
Kubernetes
Terraform
Prompt Engineering
Vector Databases
LangChain
DevOps
Semantic Modelling
Machine Learning Pipelines
Cloud Infrastructure

Benefits

Recurring hybrid work allowance
Paid vacation
Paid personal days
Group RRSP / DPSP plan
Group insurance plan
Annual wellness allowance
Telehealth application

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI-First
Snowflake
DBT
Airbyte
Airflow
Python
Terraform
Kubernetes
Helm
Azure
Kafka
Debezium
Gitlab
Prompt Engineering
Vector Databases
LangChain
LangGraph
Matillion
Semantic Layer
Data Pipelines
DevOps
Machine Learning
BI
Data Governance
Cloud Infrastructure
API
Self-service Analytics
Data Lineage
Enterprise Software

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