Data Engineer II (Restaurant AI CoPilot)

Description

The role is hybrid and requires two days per week in the office.

The company is part of Booking Holdings, Inc. (NASDAQ: BKNG), serves millions of diners and more than 70,000 restaurant partners, and has operated for over 25 years. Its technology helps restaurants manage their team, guests and finances, and helps diners find and book a restaurant for any occasion.

Employees at the company have a direct effect on the product and on how the work gets done. The team is global and sits within a group of metasearch brands. Looking after guests is central to the culture.

This role sits on the Data Science team. You will design, build and maintain data solutions that support diner features, partner integrations and AI projects. You will work with Product Managers, Business Intelligence Analysts, Infrastructure SREs and Product Engineers to ship scalable data products. The team is agile and high impact, and you will use the company's large data ecosystem to inform key business decisions and improve the experience for users worldwide.

Responsibilities

• Build, test, deploy and maintain scalable batch and streaming data pipelines that deliver reliable data to internal and external customers.
• Work with Product Managers, Business Intelligence Analysts, SREs and Product Engineers to design and oversee production data services.
• Create pipelines that give restaurants useful insight into guest behaviour, revenue and operational efficiency.
• Build and maintain data integrations with external partners that support key partnerships and data exchange.
• Support analytics and machine learning work for Sales, Marketing and AI teams, including summarising content with generative AI.
• Monitor and tune production systems to keep them fast, available and accurate.

Requirements

• Professional experience applying data engineering principles, data architecture and software design.
• A track record of building, testing, deploying, monitoring and maintaining production data systems.
• Proficiency in Python, SQL and at least one strongly typed language such as Java.
• Experience building scalable batch and streaming data pipelines.
• Experience working across functions with product and technical stakeholders.
• Preferred: experience with data engineering tools such as PySpark, Databricks, Snowflake, Airflow, Kubernetes and AWS.
• Preferred: knowledge of machine learning development, such as NLP, LLMs, RAG, recommendations or MLOps.
• Preferred: familiarity with containerisation, orchestration and monitoring tools such as Docker, Kubernetes, Helm, Prometheus or Grafana.
• Preferred: familiarity with data storage and infrastructure such as Kafka, Snowflake, Delta Lake or vector and NoSQL databases.
• Preferred: understanding of A/B testing practices and data-driven product evaluation.

Conditions

The role is based in Toronto, Canada, and follows the hybrid model with two office days per week.

Compensation is expected to be $120,000 to $130,000 CAD, including any commission or bonus. Pay depends on factors such as market benchmarks, location and required experience.

Most work follows regular business hours, but you may need to handle calls, Slack messages or emails outside those hours to work with international colleagues, restaurant partners or urgent issues. Local laws are always respected.

The company welcomes accommodation requests during hiring or on the job, which you can make through your recruiter.

This is an existing vacancy.

Benefits

• Paid vacation, plus time off for your birthday.
• Ability to work from almost anywhere for up to 20 days per year.
• Company-paid therapy sessions through SpringHealth and a company-paid Headspace subscription.
• A company-wide week off each year.
• Paid parental leave and paid volunteer time.
• Development Dollars, leadership development, thousands of on-demand e-learnings, travel discounts and Employee Resource Groups.
• 20 days of paid time off.
• Private health and dental insurance, plus life and disability insurance.
• A competitive base salary, retirement benefits, paid sick leave, medical leave, bereavement leave, floating and paid holidays.
• Eligibility to be considered for an annual bonus and an equity grant.