Business Intelligence Engineer

About the role

Turn data into decisions. Build intelligent solutions. Make complexity disappear.

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.

A little about the role...

We're looking for a Business Intelligence Engineer who thrives at the intersection of data engineering, analytics and applied AI. Someone who can build robust data infrastructure, develop intelligent automations and turn complex business challenges into scalable, practical solutions. At OpenTable, data does more than tell us what happened. It helps us understand what comes next, uncover opportunities and build smarter ways of working.

This isn't a traditional BI role focused solely on reporting and dashboards. You'll have the opportunity to shape how we use data, AI and automation across the business, working closely with stakeholders to solve meaningful problems and deliver measurable impact.

What You'll Do...

- Build scalable data infrastructure: Design, develop and maintain reliable data pipelines, ETL/ELT processes and data models that support analytics and business operations.

- Develop AI-powered solutions: Apply modern AI technologies and APIs to build intelligent workflows, automate processes and solve real business challenges.

- Turn data into actionable insights: Create analytical tools, reporting solutions and automated systems that improve decision-making, efficiency and business performance.

- Partner with stakeholders: Collaborate with technical and non-technical teams to gather requirements, understand challenges and translate business needs into effective technical solutions.

- Own solutions end to end: Lead projects from discovery and design through development, deployment and optimisation, ensuring solutions are scalable, reliable and maintainable.

Our Ideal Candidate...

- Proven programming expertise: Hands-on experience with Python and SQL, including developing data pipelines, integrations and automated workflows.

- Modern data engineering experience: Proficiency with Snowflake or similar cloud data warehouses, alongside data modelling, ETL/ELT processes and orchestration tools such as Apache Airflow.

- Practical applied AI knowledge: Experience integrating modern AI APIs, large language models (LLMs) or AI-powered technologies into business applications and workflows.