Data Platform Engineer II - Business Intelligence Platform

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

About the team: 

Our mission at Booking.com is to create visionary, innovative, and personalised travel experiences for millions of customers worldwide. Across our offices worldwide, we continue to innovate by solving some of the most complex challenges in travel and technology and plan for the exciting developments that lie ahead through strategic long-term investments in what we believe the future of travel can be.

Based in Central Tech, our team owns the foundational BI and AI Analytics platforms that support Booking.com's global data ecosystem. We design, build and scale capabilities across Tableau, ThoughtSpot, Snowflake Intelligence, Streamlit and internal Python services. We are also building the foundations for AI-powered analytics through Snowflake Semantic Views, Cortex/Insight Agents, Cortex Search and a unified Semantic Layer, enabling trusted data and business context to be consumed consistently across traditional BI, conversational analytics and AI experiences.

About the role:

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.

Key Responsibilities & Duties

• 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.

Role Qualifications & Requirements

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).

Benefits & Perks: Global Impact, Personal Relevance

• Annual paid time off and generous paid leave scheme including parental (22-weeks paid leave), grandparent, bereavement, and care leave.

• Hybrid working including flexible working arrangements, working-from-home furniture and ergonomic support, and up to 20 days per year working from abroad (home country).

• A beautiful sustainable HQ Campus in Amsterdam that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office.

• Commuting allowance and bike reimbursement scheme.

• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers.

• Free access to online learning platforms, development and mentorship programs.

• Global Employee Assistance Program, free Headspace membership.

Diversity, Equity and Inclusion (DEI) at Booking.com: 

Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. 

Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.” 

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Application Process: 

• Let’s go places together: How we Hire

• This role does not come with relocation assistance.

 Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.