Senior/Staff Data Engineer - Bangkok based, relocation provided

Навыки

• API (интеграции)
• BI-инструменты
• Дашборды и витрины
• dbt
• DWH
• E-commerce
• Git

О компании и продукте

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
• Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training.

Задачи

• Model governed metrics, dimensions, joins, and grain for business domains
• Structure expert context, glossaries, and validated question patterns as Git-reviewed assets
• Build freshness, drift, and validation signals
• treat stale knowledge as a production issue
• Expose the layer through APIs so applications and agents get deterministic answers
• Enable domain owners to propose, review, and publish knowledge without engineering deploys
• Partner across analytics, product, and platform teams on access control and quality standards

Требования

• 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling
• Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent)
• Strong SQL and analytical modeling on OLAP / warehouse systems
• Knowledge engineering: versioned definitions, peer review, contributor workflows
• API / service mindset: you design for multiple consumers, not a single dashboard
• Clear communication across engineering, analytics, and product partners

Будет плюсом

• Open-source semantic layer engines (Cube, MetricFlow patterns)
• Agent or tool-interface experience for LLM-powered applications
• NL-to-data products, retrieval, or evaluation harnesses
• Python or Node.js service development
• Large-scale e-commerce or travel analytics environments
• Discover more about working at Agoda
• Agoda Careers https://careersatagoda.com
• Facebook https://www.facebook.com/agodacareers/
• LinkedIn https://www.linkedin.com/company/agoda
• YouTube https://www.youtube.com/agodalife

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