About Four Seasons

Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to recent heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.

About Four Seasons

Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.

About the location

Four Seasons Hotels and Resorts is a global, luxury hotel management company. We manage over 130 hotels and resorts and 50 private residences in 47 countries around the world and growing. Central to Four Seasons employee experience and social impact programming is the company’s commitment to supporting cancer research, and the advancement of diversity, inclusion, equality and belonging at Four Seasons corporate offices and properties worldwide. At Four Seasons, we are powered by people and our culture enables everything we do.

BI Engineer

The BI Engineer is a technical engineering contributor within the Data & Analytics organization, responsible for designing, building, and operating scalable, maintainable,



and governed business intelligence solutions across the Four Seasons data platform, Power BI, and Azure Databricks. This role goes beyond report and dashboard development, with a core focus on semantic and data modelling, reusable datasets, and BI/data products that can scale across multiple use cases.

Working closely with business stakeholders, data engineers, data architects, analysts, and subject matter experts, this role translates business needs into well‑engineered semantic models, reusable datasets, and governed analytical products. These products support reporting and self‑service analytics today, and broader analytics and AI use cases, such as Databricks Genie and Power BI Copilot, over time. Governance is built in by design, including metadata, lineage, data quality, certification, and appropriate access. The BI Engineer combines strong engineering depth with clear communication, sound judgment, and a service‑oriented approach. Knowledge of AI will be value add.

This Toronto‑based role reports to the Senior Business Intelligence Engineer and collaborates with internal stakeholders, project sponsors, technical teams, Four Seasons IT, external partners, Microsoft, and data solution providers.

What You’ll Be Doing

BI Engineering and Solution Delivery

- Partner with business stakeholders to understand needs, clarify use cases,



and translate requirements into clear, scalable BI solutions and data products.
- Engineer scalable and maintainable BI solutions using software engineering practices, including version control, CI/CD and deployment pipelines, environment promotion, parameterization, code review, and automated testing.
- Develop and optimize complex DAX measures and SQL queries for performance, accuracy, security, and accessibility.
- Design, develop, and support Power BI reports and dashboards as one consumption layer on top of governed, reusable semantic models, delivering intuitive user experiences and actionable insights.
- Rapid prototyping and iterative refinements with business users, seamlessly incorporating feedback while maintaining alignment with enterprise standards.
- Partner with data engineers to shape ingestion, transformation workflows, and BI‑ready data layers across Azure and Databricks.
- Design solutions with reuse, extensibility, and long‑term supportability in mind, avoiding one‑off builds and reducing technical debt.

Semantic Modelling and Reusable BI/Data Products

- Design, build, and own enterprise semantic models and reusable datasets that serve as a trusted single source of truth across multiple reports, business areas, and use cases.
- Collaborate with data architects to design dimensional and enterprise‑aligned data models that scale across reporting, analytics, and AI use cases rather than individual report requirements.
- Define consistent business logic, metrics, and KPI definitions in shared semantic layers (e.g., Power BI semantic models, Databricks metric views) to reduce duplication and rework.
- Build governed, reus

📌 BI Engineer (Toronto)
🏢 Four Seasons
📍 Toronto