OpenTable · London, United Kingdom
This is a live UK-based role at OpenTable, a UK Skilled Worker sponsor tracked by Sponsorly AI against the Home Office register. Posted 29 September 2026. Listed as open until 29 October 2026.
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 London office 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 enh…
Listing tracked by Sponsorly AI from OpenTable's own job posting. Apply directly with the employer — Sponsorly does not process applications.