About the Opportunity
We're seeking a Senior Data Engineer with deep expertise in data modeling, governance, and modern data platforms. The ideal candidate will architect robust data pipelines and have a proven track record of implementing enterprise-grade data solutions that power analytics and AI systems.
Key Responsibilities:
Design and develop scalable data pipelines following data architecture best practices
Create comprehensive data models that support analytics, AI, and cross-platform integrations
Implement data governance frameworks ensuring quality, security, and compliance standards
Build and optimize AI-enabled data ingestion pipelines for intelligent processing
Collaborate with AI engineers to create data processing systems that support agentic AI architecture
Work with cross-functional teams (backend, AI, and frontend engineers) to deliver integrated platform solutions
Productionize data pipelines in enterprise environments with high availability and performance requirements
Develop monitoring and alerting systems for data pipeline health and performance optimization
Requirements:
Extensive experience in data engineering with focus on enterprise-scale implementations
Expert-level knowledge and proficiency in Python for data processing and pipeline development
Deep understanding of data architecture and modern data platform technologies (Microsoft Fabric, Databricks etc)
Strong background in data modeling, governance frameworks, and quality assurance practices
Proven experience productionizing data pipelines in enterprise environments
Ability to collaborate effectively with cross-functional engineering teams
Experience with AI-enabled data processing and analytics pipeline development
Enthusiasm for working on cutting-edge data solutions that support AI and analytics platforms
The successful candidate will be instrumental in building the data foundation that powers our entire platform, working closely with AI engineers to create intelligent processing systems while ensuring robust, scalable, and governed data operations across the organization.
Other Details:
We are seeking exceptional talent for 12 month contract positions with the potential to transition to full-time permanent roles.
The estimated hourly range for this position would be $70 - $120/hour CAD based on expertise, data engineering experience, and leadership capabilities.
This is a hybrid position, with candidates needing to be located within the Greater Vancouver area.
To Apply:
To apply for this role, please send your resume to careers@industrio.ai with the subject line “Senior Data Engineer Application – [Your Name]”.
We thank all applicants for their interest; however, only those selected for an interview will be contacted.
For questions about this role, please reach out to careers@industrio.ai.
About Industrio AI
Industrio AI is based in Vancouver, Canada, and specializes in building scalable AI and DataOps solutions that help businesses unlock the full potential of their data. Our team of experts works with companies to design, develop, and implement custom software and data systems tailored to their unique needs.
From planning robust data architectures and creating digital twins of operations to developing machine learning models, we provide the technical expertise and tools to help organizations streamline operations, make smarter decisions, and drive measurable results.