Senior/Staff Data Engineer (BI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior/Staff Data Engineer (BI): Building and operating a governed knowledge layer for conversational analytics with an accent on semantic modeling, data governance, and API design. Focus on transforming business knowledge into versioned, reviewable assets that provide consistent answers for AI-powered applications and analysts.
Location: Must be based in or be able to relocate to Bangkok, Thailand
Company
A global travel technology company and part of Booking Holdings, connecting millions of travelers to hotels, flights, and experiences worldwide.
What you will do
- Design and operate a shared knowledge layer for conversational analytics.
- Model governed metrics, dimensions, joins, and grain for business domains.
- Structure expert context, glossaries, and question patterns as Git-reviewed assets.
- Build validation signals for data freshness and drift.
- Expose the knowledge layer through APIs for applications and agents.
- Partner with analytics and product teams on access control and quality standards.
Requirements
- 4+ years of experience in BI, analytics engineering, or data platform engineering.
- Strong experience with semantic or metrics layers like LookML or dbt metrics.
- Expertise in SQL and analytical modeling on OLAP or warehouse systems.
- Experience with knowledge engineering, versioned definitions, and peer review workflows.
- API-first mindset with experience designing for multiple consumers.
- Clear communication skills for cross-functional collaboration.
Nice to have
- Experience with open-source semantic layer engines like Cube or MetricFlow.
- Background in agent or tool-interface development for LLM-powered applications.
- Experience with NL-to-data products or retrieval evaluation.
- Proficiency in Python or Node.js service development.
- Experience in large-scale e-commerce or travel analytics environments.
Culture & Benefits
- Work in a diverse, international environment with over 7,000 employees from 90 countries.
- Focus on innovation and data-driven decision-making.
- Relocation support provided for the Bangkok office.
- Opportunity to work on next-generation natural-language analytics.
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