Key Skills

Job Description

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 encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. Role Description: The goal of the Fraud team is to proactively protect, prevent, detect and respond to fraudulent behavior. The team is responsible for managing security and fraud threats across the business globally. Continuous improvement on detection and response capabilities is key. The Fraud team is part of the Security department within the Central Technology department. In this role, you work closely with the Supplier Fraud Analytics Team, Product Managers, Analytics and Engineering managers. Key Job Responsibilities and Duties: Drive the implementation of reliable and well trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse. Produce curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments. Enter a new area, own the quality of the data and work with product owners and scientists to develop the analytics backlog. Model data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling. Transform large, complex data sets into pragmatic, actionable insights and provide them in a consumable format for historical or predictive analysis. Perform Data Governance responsibilities such as technical stewardship, data classification, compliance management, data quality monitoring, and security considerations. Build data visualizations to trial/validate data products you build before releasing to customers. Maintain and tune data pipeline health, including troubleshooting issues Qualifications & Skills: Minimum of 3+ years of experience in a data or software-adjacent field, working with systems and data infrastructure at scale. Experience in designing and implementing mature Data Warehouse pipelines using dimensional modeling methodologies. Highly skilled at writing and maintaining high-quality and reusable code, applying design patterns and meeting coding standards. Experience working in a DevOp /DataOps environment. Experience with ELT/ETL tools and methodologies. Experience using scheduled workflow management tools such as Apache Airflow or Argo. Experience/Expertise with relational databases and any flavour of SQL in an analytical context. Experience with data exploration/visualisation and data story telling. Excellent communication (written and spoken) and stakeholder management. 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 DEI: Diversity, Equity and Inclusion at Booking.com Diversity, Equity and Inclusion (DEI) 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 create a unique workplace, it also creates a better and more inclusive travel experience for everyone.” We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the interview process. Please contact us to request adjustments. Application Process The interview process will entail an initial call with one of our Recruiters, and a total of 3 interviews, all conducted via Zoom video conferencing. 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 everyone to thrive. Pre-Employment Screening 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.

Core Responsibilities

Build reliable, reusable analytical data products by integrating disparate datasets into the Lakehouse or Data Warehouse, and develop data models and insights for historical or predictive analysis. Own data quality and governance, validate products through visualizations, and maintain and troubleshoot data pipelines in collaboration with product, analytics, engineering, and science teams.

Requirements

Requires at least three years of experience in a data or software-adjacent field, including work with large-scale systems and mature Data Warehouse pipelines using dimensional modeling. Candidates should have strong reusable coding practices, DevOps or DataOps experience, ETL/ELT and workflow orchestration experience, SQL and relational database expertise, and data visualization, storytelling, communication, and stakeholder management skills.

Benefits

• Paid Time Off
• Paid Parental Leave
• Paid Grandparent Leave
• Paid Bereavement Leave
• Paid Care Leave
• Hybrid Working
• Flexible Working Arrangements
• Work-From-Home Furniture and Ergonomic Support
• Work Abroad Option
• On-Site Meals, Coffee, and Snacks
• Commuting Allowance
• Bike Reimbursement
• Product Discounts and Wallet Credits
• Genius Level 3 Upgrade
• Friends and Family Discount Vouchers
• Online Learning Platforms
• Development and Mentorship Programs
• Employee Assistance Program
• Headspace Membership