Business Intelligence Engineer

Overview

In this role you will bridge data engineering, analytics, and applied AI to build scalable data infrastructure and automated workflows. You will work closely with strategy, sales, and operations to reduce friction and deliver AI-powered insights and pipelines. You’ll develop ETL/ELT processes, AI components, and dashboards that drive faster, data-driven decisions. This is a hybrid position based in London, offering meaningful impact across a global hospitality platform. You will shape how OpenTable leverages data to empower restaurants and diners at scale.

Pay / Benefits

• 5 weeks paid vacation
• Private health & dental insurance
• Hybrid work from London with occasional in-office
• Company-paid therapy sessions (SpringHealth)
• Headspace subscription
• Annual company-wide week off

Responsibilities

• Partner with cross-functional stakeholders to analyze workflows, identify bottlenecks, and define data model and pipeline requirements
• Design, build, and maintain scalable ETL/ELT pipelines, data models, and automations using Python and SQL to load data into Snowflake
• Develop and integrate AI components (LLM APIs, RAG tools, vector databases) to automate business operations and accelerate decision-making
• Create and manage interactive dashboards and alerts (Superset, Preset) with intelligent insights for KPIs
• Implement validation, monitoring, and security controls for data pipelines and AI outputs
• Evaluate new data orchestration tools (Airflow) and AI frameworks (LangChain, LlamaIndex) to modernize capabilities
• Communicate technical architecture and AI outcomes to non-technical stakeholders and leadership

Key requirements

• Bachelor’s or Master’s degree in a quantitative field with 2+ years of experience in data engineering, BI, or applied analytics
• Advanced proficiency in SQL and Python
• Hands-on experience with Snowflake and orchestration tools (Airflow)
• Experience with AI APIs (OpenAI, Anthropic), vector databases, and RAG architectures
• Proven dashboards and reporting experience (Superset, MicroStrategy, Tableau)
• Strong communication and ability to own projects end-to-end in ambiguous environments

• Proactive
• Curious
• Adaptable
• SQL
• Python
• Snowflake

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