Data Engineer – Data Platform (AI-Enabled)

📋 Description

• Build and maintain trusted, well-modeled, production-grade data products supporting customers
• Partner with product, engineering, customer-facing teams, and business stakeholders to understand
• Help design and implement a semantic layer that provides consistent business definitions, metrics
• Support a federated BI approach that enables platform consumers to safely and independently develop
• Use AI tools as an integral part of daily engineering work, including development, testing
• Establish and promote practical AI-first development patterns that increase productivity while

🎯 Requirements

• Strong professional experience in data engineering, including SQL, data modeling, production data
• Demonstrated ability to build high-quality data products with clear ownership, definitions, testing
• Strong understanding of AI-ready semantic modeling, business metrics, business definitions, secure
• Platform or product-oriented mindset, with experience building reusable capabilities rather than
• Solid understanding of cloud infrastructure, DevOps practices, data architecture, and production
• Demonstrable experience using AI tools such as Cursor, Claude, ChatGPT, GitHub Copilot, or similar

🎁 Benefits

• Compensation designed to recognize your skills, experience, and contribution.
• Flexible hybrid and remote working options, with teleworking available to the extent permitted by
• Recurring hybrid work allowance.
• 4 to 6 weeks of paid vacation per year.
• 5 paid personal days annually.
• Group RRSP / DPSP plan with employer contributions.