Data Platform Engineer II — AI Analytics & Semantic Layer

Booking.com; Amsterdam; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid working

HQ in Amsterdam

Commuting allowance

Learning & mentorship programs

Headspace membership

Job summary

Booking.com is seeking a Data Engineer II in Central Tech to build and evolve the BI and AI analytics platform. You will work across semantic modeling, data governance, and AI-powered analytics, enabling scalable and governed analytics experiences with Snowflake, ThoughtSpot, and dbt.

You will contribute to automation, observability, and self-service capabilities while partnering with Product, Data, SRE, and Security teams to deliver production-ready platform solutions.

Qualifications

• 4-6+ years in data platform/analytics roles.
• Experience with Snowflake, dbt, semantic layer tech.
• Strong understanding of semantic modeling and data governance.
• Proficiency in SQL and Python; cloud experience (AWS).

Responsibilities

• Own the design and evolution of the semantic layer foundation.
• Develop AI-powered analytics capabilities and related tools.
• Build scalable data models that serve analytics and BI use cases.
• Define data governance standards and access controls.
• Design infrastructure for semantic and BI workloads for high availability.
• Collaborate with cross-functional teams to ensure secure, scalable solutions.

Skills

SQL

Python

AWS

Data governance

Semantic modeling

Problem solving

Ownership

Communication

Education

Bachelor's in Computer Science

Tools

Snowflake

dbt

ThoughtSpot

Tableau

Job description

Booking.com is seeking a Data Engineer II in Central Tech to build and evolve the BI and AI analytics platform. You will work across semantic modeling, data governance, and AI-powered analytics, enabling scalable and governed analytics experiences with Snowflake, ThoughtSpot, and dbt.

You will contribute to automation, observability, and self-service capabilities while partnering with Product, Data, SRE, and Security teams to deliver production-ready platform solutions.