> Markdown version of [/jobs/ext/3167891-data-engineer-ii-business-intelligence-platform](https://www.wearedevelopers.com/jobs/ext/3167891-data-engineer-ii-business-intelligence-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II - Business Intelligence Platform - **Company:** Booking.com - **Location:** Amsterdam, Netherlands - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, ARM Architecture, Build Automation, Computer Programming, Data Validation, Data Governance, Data Infrastructure, Python (Programming Language), Performance Tuning, SQL Databases, Tableau (Software), Scripting, Cloud Platform System, System Availability, Large Language Models, Snowflake, Data Layers, Information Technology, Data Analytics, Enterprise Integration, Data Management, Streamlit Framework, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9396c842c3893418 ## About the Role We are looking for engineers who are passionate about building scalable data platforms, semantic layers, and AI-powered analytics capabilities, and who understand that high-quality analytics depends on well-modeled, governed data. Candidates who match the following tend to thrive in this role: * 4-6+ years of experience in data platform engineering, analytics engineering, or BI platform roles. * Hands-on experience with modern data technologies such as Snowflake, dbt, and semantic layer technologies (e.g., Cube 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). * Experience working with cloud environments (AWS preferred) and modern data infrastructure. * Experience with BI and analytics platforms such as ThoughtSpot, Tableau, or similar. * 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. * Strong troubleshooting and problem-solving skills, with the ability to design reliable, scalable, and production-ready platform solutions. * Ability to work cross-functionally, communicate effectively, and navigate ambiguity with a strong sense of ownership. * Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience). ## Description As a Data Engineer II in Central Tech, you will play a key role in building and evolving Booking.com's next-generation BI and AI Analytics Platform. You will work across the Semantic and Agentic layers, enabling scalable, governed and high-performance analytical experiences through technologies such as Snowflake Intelligence, Semantic Views, Cortex Agents, Cortex Search, Thoughtspot and dbt. You will operate at the intersection of data platform engineering, semantic modelling and AI-powered analytics. This includes building the foundations that allow teams to develop and operate trusted semantic models and AI analytical experiences, while establishing the automation, governance, observability and self-service capabilities required to scale them safely across Booking.com., * Own and contribute to the design and implementation of the Semantic Layer foundation, leveraging technologies such as Snowflake Semantic Views, and dbt, enabling consistent consumption across BI and AI Analytics experiences. * Contribute to the development and operation of AI-powered analytics capabilities, including Snowflake Intelligence, Cortex/Insight Agents, Cortex Search, and ThoughtSpot. * Build and evolve platform capabilities for AI Analytics, including agent evaluation, observability, guardrails, access controls and integrations with semantic models. * Build and maintain scalable, reusable, and governed data models that serve as a single source of truth for analytics and BI use cases. * Define and enforce data governance standards, including metric definitions, data contracts, access controls, and lifecycle management. * Design and operate the infrastructure supporting semantic and BI workloads, ensuring high availability, performance, and cost efficiency. * Collaborate with data engineers and analytics teams to ensure seamless integration between data pipelines and semantic models. * Support and enhance BDX-managed Streamlit applications, enabling interactive and user-friendly data exploration experiences. * Contribute to the evolution of the broader BI platform ecosystem (e.g., Tableau and other tools) by ensuring strong alignment with the semantic layer. * Build automation for deployments, testing, monitoring, and data quality checks across semantic and BI layers. * Drive performance optimization for queries, models, and dashboards to support large-scale analytics workloads. * Act as a technical point of contact for semantic layer and BI platform issues, including troubleshooting and root cause analysis. * Collaborate with cross-functional teams (Product, Data, SRE, Security) to ensure secure, compliant, and scalable platform solutions. * Mentor and guide junior engineers or contractors, ensuring high-quality delivery and operational excellence. * Continuously improve platform capabilities through innovation, experimentation, and adoption of modern data tooling. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [Software Developer Salary in The Netherlands [2023]](https://www.wearedevelopers.com/magazine/217-software-developer-salary-in-the-netherlands-2023) - [How to Find Tech Jobs in Amsterdam](https://www.wearedevelopers.com/magazine/279-how-to-find-tech-jobs-in-amsterdam) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)