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Added 13 mins ago
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Full-time
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OpenTable

Business Intelligence Engineer

Toronto, ON, Canada

Posting language: English
Posted: Sep 29, 2026

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Original job description

With millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion.

Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.

About the Job

Reporting to the Manager, Business Intelligence, this position sits at the intersection of data engineering, analytics, and applied AI, building data infrastructure, intelligent workflows, and automated systems across OpenTable. The role collaborates cross-functionally with strategy, sales, and operations teams to identify operational friction points and deliver scalable solutions - ranging from analytics dashboards and ETL pipelines to production-ready AI tools, RAG pipelines, and automated action triggers.

The Business Intelligence Engineer is expected to deeply understand OpenTable's systems and data architecture, combining strong business acumen with technical execution. This position requires an analytical mindset, proactive problem-solving, and the ability to articulate complex technical concepts to non-technical business partners while delivering results in ambiguous environments.

This is a hybrid role; working from our office in Toronto twice a week.

Responsibilities

Business-First Problem Discovery: Partner with cross-functional stakeholders (sales, strategy, operations) to analyze workflows, identify recurring manual bottlenecks, and define requirements for data models, automated pipelines, and AI-driven solutions.
Data & AI Infrastructure Development: Design, build, and maintain scalable ETL/ELT pipelines, data models, and custom automations using Python and SQL to extract, transform, and load data into Snowflake.
AI & Workflow Automation: Build and integrate applied AI components - including LLM API integrations (OpenAI/Anthropic), retrieval-augmented generation (RAG) tools, vector databases, and agentic workflows - to automate business operations and accelerate decision-making.
Dashboards & Intelligent Insights: Create and manage interactive dashboards and visualizations (Superset, Preset) integrated with automated alert triggers and intelligent insight generation for key business metrics.
Testing, Quality Control & Security: Implement validation, evaluation, and monitoring frameworks to ensure the accuracy, reliability, security, and compliance of both traditional data pipelines and AI model outputs.
Tool Evaluation & Modernization: Continually evaluate emerging data orchestration tools (e.g., Airflow), AI frameworks (LangChain, LlamaIndex), and modern data sources to enhance overall analytics team capabilities.
Stakeholder Communication: Clearly articulate technical architecture, pipeline logic, and AI-driven outcomes to non-technical business partners and leadership.

Minimum Qualifications

Education & Experience: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Information Systems, Economics, or a related quantitative field, with 2+ years of hands-on experience in data engineering, business intelligence, or applied analytics.
Core Technical Stack: Advanced proficiency in SQL and Python for data processing, system integration, API development, and data modeling.
Cloud & Data Architecture: Hands-on experience with cloud data warehouses (Snowflake) and data orchestration frameworks (e.g., Airflow or similar ETL tools).
Applied AI & Automation Skills: Familiarity with modern AI APIs (OpenAI, Anthropic), vector databases, retrieval-augmented generation (RAG) architectures, and orchestration frameworks (LangChain, LlamaIndex).
Data Visualization: Proven experience designing enterprise dashboards and reports using tools such as Superset, MicroStrategy, Tableau, or similar BI tools.
Business Acumen & Soft Skills: Proactive, curious, and adaptable mindset with excellent written and verbal communication skills; comfortable taking ownership of projects end-to-end in high-ambiguity environments.

Benefits and Perks

Work from (almost) anywhere for up to 20 days per year
Focus on mental health and well-being:

Company-paid therapy sessions through SpringHealth
Company-paid subscription to Headspace
Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)

Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Focus on your career growth:

Development Dollars
Leadership development
Access to thousands of on-demand e-learnings

Travel Discounts
Employee Resource Groups
20 days of paid time off
Private health and dental insurance
Life and Disability insurance

The best connections happen face-to-face, whether you’re sitting down to dinner or having coffee with a coworker. That’s why OpenTable has adopted a hybrid workplace model. This role aligns with that approach, with an expectation of coming into the office two days a week - giving employees the best of both worlds: in-person collaboration and flexibility.

Work Environment & Flexibility

At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve - and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

Apply About employer

More about this job

Responsibilities

The Business Intelligence Engineer will design and maintain scalable data infrastructure, ETL pipelines, and AI-driven workflows to support business operations. They will collaborate with cross-functional teams to build interactive dashboards and automated systems that provide actionable insights.

Requirements

Candidates must hold a Bachelor’s or Master’s degree in a quantitative field and possess at least 2 years of experience in data engineering or business intelligence. Proficiency in Python, SQL, cloud data warehouses, and modern AI frameworks is required.

Skills

Python
SQL
Snowflake
Data Engineering
Business Intelligence
Applied AI
ETL/ELT Pipelines
LLM API Integration
RAG
Vector Databases
LangChain
LlamaIndex
Data Visualization
Superset
Airflow
Data Modeling

Benefits

Work from anywhere for 20 days per year
Company-paid therapy sessions
Headspace subscription
Annual company-wide week off
Paid parental leave
Paid vacation
Paid time off for birthday
Paid volunteer time
Development dollars
Leadership development
On-demand e-learnings
Travel discounts
Employee resource groups
Private health and dental insurance
Life and disability insurance

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Data Engineering
Applied AI
Python
SQL
Snowflake
ETL
ELT
LLM
RAG
Vector Databases
LangChain
LlamaIndex
Airflow
Superset
Preset
Data Modeling
Automation
Analytics
API Development
Data Visualization
Strategy
Operations
Cloud Architecture
Machine Learning

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