Enterprise Intelligence Developer

PCL Construction

. Design, develop and maintain enterprise data platforms, reusable data products, AI-ready datasets and agents .

Posted 9/25/2026full-timeEdmonton • CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudPythonSDLCSQL

About the role

Key responsibilities & impact

Design, develop and maintain enterprise data platforms, reusable data products, AI-ready datasets and agents
Build scalable, reusable data architectures, data models, integration patterns and automation capabilities
Establish common enterprise patterns across PCL applications and support repeatable DevOps and CI/CD processes
Partner with application teams to prepare, structure and expose business data for Copilot, AI agents and analytics solutions
Develop shared platform capabilities for business-focused Copilot, agent and analytics experiences
Support Microsoft Foundry and related AI development platforms, including administration, configuration, skill development and agent enablement
Assist in creating and communicating technical standards, templates and repeatable delivery patterns
Ensure data and AI platform work aligns with governance, security, privacy, architecture and development standards
Create and execute test cases and documentation
Support deployment and operationalization of enterprise data and AI capabilities
Estimate technical effort, plan assigned work and participate in Agile delivery activities
Mentor team members on modern data platforms, AI development tools, architecture patterns and delivery practices
Research, evaluate and recommend tools and practices to strengthen PCL’s data and AI platform capabilities

Requirements

What you’ll need

Postsecondary degree or diploma in computer science, information technology, software development or a related discipline
3+ years of progressive experience in a related field
Proven experience with enterprise data architecture and data modeling
Proven experience with relational databases and SQL development
Proven experience with cloud-based data and analytics platforms
Proven experience with data integration, APIs and solution architecture
Proven experience with software development lifecycle (SDLC) practices
Proven experience with GitHub, Azure DevOps or equivalent development platforms
Ability to translate business requirements into scalable enterprise data solutions
Effective communication and collaboration skills
Strong analytical, troubleshooting and problem-solving abilities
Enthusiastic, self-motivated and eager to learn
Able to manage multiple priorities in a fast-paced environment
Preferred: experience with enterprise data governance, data quality and stewardship
Preferred: experience with Microsoft Fabric or comparable modern data platforms such as Databricks and Snowflake
Preferred: experience with Microsoft Foundry, Copilot Studio or similar AI development platforms
Preferred: knowledge of AI agent development and orchestration
Preferred: experience with Python and modern automation frameworks
Preferred: experience with Power BI semantic models and enterprise analytics solutions
Preferred: familiarity with Copilot Studio, Azure AI Services or similar AI technologies
Preferred: experience developing reusable architecture patterns, standards and frameworks
Preferred: passion for mentoring others and helping grow organizational capabilities

Benefits

Comp & perks

Employee ownership opportunities that build long-term value
Annual discretionary performance bonuses
RRSP, TFSA, Pension Contribution Options
Flexible medical, dental and vision benefits
Prescription drug coverage and virtual care services
Life, AD&D and disability insurance
Paid parental leave and family care support
Health and lifestyle spending account options
Mental health and wellness support, including Employee Assistance Programs
Career growth pathways, leadership development and mentorship programs
Access to world-class training through PCL's College of Construction and professional development courses
Ongoing opportunities to learn new skills, explore different roles and grow your career across sectors and regions