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Salary
≈ $46k – $125k per year (Estimated)
Location
In office (Amsterdam)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match
Booking.com is an online travel platform for accommodation, flights and car rentals.

Join Booking.com as a Data Engineer II in Central Tech, where you'll play a key role in building and evolving the next-generation BI and AI Analytics Platform. You'll work at the intersection of data platform engineering, semantic modeling, and AI-powered analytics, contributing to the design and implementation of the Semantic Layer foundation and the development of AI-powered analytics capabilities. You'll also collaborate with cross-functional teams, mentor junior engineers, and continuously improve platform capabilities.

Missions

  • Contribuer à la conception et à la mise en œuvre de la fondation de la couche sémantique, en tirant parti de technologies telles que Snowflake Semantic Views et dbt.
  • Participer au développement et à l'exploitation des capacités d'analyse alimentées par l'IA, y compris Snowflake Intelligence, Cortex/Insight Agents, Cortex Search et ThoughtSpot.
  • Construire et maintenir des modèles de données évolutifs, réutilisables et gouvernés qui servent de source unique de vérité pour les analyses et les cas d'utilisation BI.

Profil recherché

- Hands-on experience with modern data technologies such as Snowflake, dbt, and semantic layer technologies (e.g., Cube or similar)

- Experience with BI and analytics platforms such as ThoughtSpot, Tableau, or similar

- Strong understanding of semantic modeling, metric layers, data governance, and BI consumption patterns

- Proficiency in SQL and at least one programming/scripting language (Python preferred)

- 4-6+ years of experience in data platform engineering, analytics engineering, or BI platform roles

- Experience working with cloud environments (AWS preferred) and modern data infrastructure

- Ability to work cross-functionally, communicate effectively, and navigate ambiguity with a strong sense of ownership

- Experience with AI-powered or conversational analytics, LLM/agent concepts, or agentic systems is a strong plus

- Familiarity with platform integrations through APIs or standards such as MCP is a plus

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

- Strong troubleshooting and problem-solving skills, with the ability to design reliable, scalable, and production-ready platform solutions

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