Data Engineer

This hybrid role requires working in the office two days per week.

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 this Role 

As a Data Engineer on the Data Science team at OpenTable, you will design, build, and maintain robust data solutions that power diner features, partner integrations, and advanced AI initiatives. You will work closely with cross-functional teams including Product Managers, Business Intelligence Analysts, Infrastructure SREs, and Product Engineers to deliver scalable data products. Joining a agile, high-impact team, you will leverage OpenTable's vast data ecosystem to drive key business decisions and enhance user experiences globally

Responsibilities

• Design, test, deploy, and maintain scalable batch and streaming data pipelines to deliver reliable data to internal and external customers 
• Collaborate with Product Managers, Business Intelligence Analysts, SREs, and Product Engineers to architect and govern production data services 
• Build data pipelines providing actionable insights to restaurants regarding guest behaviour, revenue, and operational efficiency 
• Develop and maintain data integrations with external partners to support critical business partnerships and data exchange 
• Power diner analytics and machine learning work streams for Sales, Marketing, and AI initiatives, including generative AI content summarization 
• Monitor and optimize production systems to ensure high performance, data availability, and system integrity

Minimum Qualifications

• Demonstrated professional experience in data engineering principles, data architecture, and software design 
• Proven 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 constructing scalable batch and streaming data pipelines 
• Experience working in cross-functional environments and collaborating with product and technical stakeholders