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Data Engineer – Data Platform (AI-Enabled)

Data Engineer Full-time Permanent Canada

Job details

Not specified Salary
Canada Eligibility
Lead Experience
Full-time Employment

About this role

Role overview A platform-focused data engineering role building the next generation of an AI-ready data platform that powers business intelligence and AI workflows across a healthcare technology organization. The role combines deep data engineering fundamentals with daily, practical AI-first delivery, helping shape how the team designs, builds, tests, and documents data products for both human and machine consumers.

Responsibilities - Partner with product, engineering, customer-facing teams, and business users to deliver trusted, well-modelled data products for customer, product, and internal use cases - Help define and implement a semantic layer that makes data easier for humans, BI tools, and AI systems to consume consistently - Support a federated BI model that lets platform consumers safely build their own insights while preserving governance and trust - Use AI tools daily to accelerate development, testing, documentation, debugging, analysis, and design, and help establish practical AI-first patterns for the team - Take ownership beyond development into ongoing operations, participating in the enterprise on-call and incident response process

Requirements - Strong data engineering experience including SQL, data modelling, processing pipelines, testing, documentation, and production data integrations - 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 exposures, and self-service analytics - Platform and product mindset supported by cloud infrastructure, DevOps, and data architecture expertise - Demonstrated AI-first delivery workflow, including which tools are used, how AI output is validated, and how the candidate has helped others adopt AI-assisted ways of working

Nice to have - Experience in regulated, privacy-sensitive, or healthcare-related data environments

Benefits and work setup - Group insurance from day one, group retirement plan with employer contribution, wellness allowance, telehealth access, personal days, and flexible work hours

Skills detected in the listing

Data Engineering
Detected Sep 16, 2026
Last verified Sep 16, 2026

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