CareerPlan

Business Intelligence Engineer

Toronto OfficeFull-time2026-10-13 → 2026-11-10
Hybrid

Core

Build scalable data infrastructure, develop AI-powered solutions, and turn data into actionable insights to solve complex business challenges.

Role type

Senior Business Intelligence Engineer (Data Engineering & Applied AI)

Builds

Scalable data pipelines, intelligent automations, and analytical tools

Domain

Hospitality technology, data engineering, and applied AI

Deliverable

production ML models

Required skills

Python, SQL, Snowflake, ETL/ELT, Apache Airflow, AI APIs, LLMs

Preferred skills

RAG, embeddings, vector databases, AWS/GCP/Azure, dbt, CI/CD

Technologies

Snowflake, Apache Airflow, Python, SQL, AWS, GCP, Azure, dbt, Git

Responsibilities

Design and maintain reliable data pipelines and data models; integrate modern AI technologies and APIs into business workflows; create analytical tools and automated systems to improve decision-making; collaborate with stakeholders to translate business needs into technical solutions; lead projects from discovery through deployment and optimization.

Seniority

Senior, hands-on IC