Online holiday retailer scaling booking and search with data infrastructure
On the Beach operates a travel e-commerce platform moving nearly two million bookings annually, with infrastructure built on SQL, BigQuery, Snowflake, and Databricks. The tech stack reveals a data-forward org: beyond analytics (Google Analytics 4, Looker Studio), they're adopting AI agents (Langchain, AutoGen, CrewAI) and low-code automation frameworks, pointing toward algorithmic search and dynamic pricing. The hiring mix—balanced across engineering, data, and marketing—reflects simultaneous work on infrastructure gaps and marketing attribution challenges.
On the Beach is a UK-based online travel retailer founded in 2004, publicly listed, headquartered in Manchester. The company sells packaged holidays (beach destinations, all-inclusive, family, last-minute) to consumers across Europe, dispatching roughly two million customers annually and targeting three million within the near term. Operations span a distributed team of 500+ employees. The product surface includes booking workflows, search and discovery, post-purchase management, and a mobile app (iOS). Current execution focuses on search ranking, personalization, marketing attribution modeling, and underlying data pipelines to support growth across product verticals.
Core: SQL, BigQuery, Snowflake, Databricks for analytics and data transformation. Application: TypeScript, .NET, C# on AWS. Analytics/tracking: Google Tag Manager, Google Analytics 4, Looker Studio. Emerging: Langchain, AutoGen, CrewAI for automation and AI workflows.
Active projects: search and discovery experience, personalized search results, search algorithms and ranking; attribution modeling and channel performance analysis; marketing analytics dashboards and data pipelines; no-code/low-code automation frameworks; new product launches.
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