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Petal

Data Engineer – Data Platform, AI-Enabled

Petal

. Partner with product, engineering, customer-facing teams, and business users to build trusted, well-modelled, AI-ready data products .

Posted 9/15/2026full-timeRemote • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering, AI-ready semantic modeling, and building high-quality data products while fostering an AI-first culture. Proficient in cloud infrastructure and DevOps practices, with a strong focus on governance and secure data management.

Highest-signal resume keywords
Data Engineering ExperienceAI-Ready Semantic ModelingCloud Infrastructure ExpertiseExperience with AI ToolsBuilding Machine-Learning Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData ModelingData Processing PipelinesTestingData IntegrationsMachine-Learning PipelinesPrompt EngineeringData GovernanceAPI Data ExposuresSelf-Service Analytics
Soft Skills
CommunicationOwnershipInitiativeCoachingInfluencing
Tools & Technologies
Snowflake CloudDbtAirbyteAirflowPythonTerraformKubernetesHelmAzure CloudKafka
Industry Keywords
Regulated Data EnvironmentsPrivacy-Sensitive DataHealthcare Data

Tech Stack

Tools & technologies
AirflowAzureCloudKafkaKubernetesMatillionPythonSQLTerraform

About the role

Key responsibilities & impact
  • Partner with product, engineering, customer-facing teams, and business users to build trusted, well-modelled, AI-ready data products
  • Define and implement a semantic layer for human, BI-tool, and AI-system data consumption
  • Support a federated BI model enabling safe self-service insights
  • Use AI tools daily to accelerate development, testing, documentation, debugging, analysis, and design
  • Establish practical AI-first development patterns for the team
  • Lead by example in using AI while maintaining quality, security, governance, and trust
  • Own the ongoing operation of services beyond development
  • Participate in the Enterprise On-Call and Incident Response Process
  • Teach, coach, and influence colleagues adopting AI-first ways of working

Requirements

What you’ll need
  • 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
  • Platform/product mindset supported by expertise in cloud infrastructure and DevOps, data architecture, and 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 toward AI-first ways of working
  • Experience building machine-learning pipelines for enterprise-class software solutions
  • Ability to clearly articulate a personal journey into Data Engineering and AI-first development, with real examples of AI improving delivery
  • Ability to explain AI tools used, validation and review of AI-generated outputs, AI limitations, and risk management
  • Experience in regulated, privacy-sensitive, or healthcare-related data environments would be helpful
  • Experience with Snowflake Cloud, dbt, Airbyte, Airflow, Python, Terraform, Kubernetes, Helm, Azure Cloud, Kafka, Debezium, GitLab, prompt engineering, vector databases, LangChain/LangGraph, and Matillion
  • Candidates must have authorization to work in Canada

Benefits

Comp & perks
  • Recurring hybrid work allowance
  • Compensation that recognizes your contribution
  • 4 to 6 weeks of paid vacation per year
  • 5 paid personal days per year
  • Group RRSP / DPSP plan with employer contribution
  • Complete group insurance plan from day 1
  • Annual wellness allowance
  • Access to the Lumino Health™ telehealth application
  • Flexible work hours
  • Option of teleworking up to the maximum flexibility permitted by the nature of the position and smooth running of operations