Senior Data Engineer (Financial Systems, FinTech)

• As part of our Financial Systems team, you will be at the heart of Booking.com’s FinTech evolution, building the critical data foundations that power our regulated payments and e-money services
• This is a unique opportunity to solve complex data challenges at the intersection of engineering, finance, and regulation, driving real business impact on a global scale
• As a Senior Data Engineer I in the Financial Systems area, you will help accelerate the BHFS (Booking Holdings Financial Services) program by building and scaling the data foundations behind our regulated payments and e-money services
• You will be a subject matter expert driving the technical strategy for critical data initiatives, ensuring resilience, compliance, and scalability. Working at the intersection of engineering, finance, and regulation, you will enable stronger operational visibility and more confident decision-making as BHFS expands globally
• Design, build, and scale reliable data pipelines, models, and integrations that improve the quality, traceability, and accessibility of financial data across critical systems
• Own the end-to-end delivery of complex data solutions, from defining the technical strategy and architecture to deployment and monitoring in production
• Ensure data solutions meet stringent regulatory, compliance, and risk management requirements by implementing robust data governance and security controls
• Drive continuous improvement in data quality by developing validation solutions, monitoring frameworks, and automated failure detection for financial datasets
• Mentor and coach less experienced team members, promoting engineering best practices, clean code (SOLID, DRY), and test-driven development
• Collaborate cross-functionally with product stakeholders, finance, and engineering teams to determine the right technical tradeoffs and deliver high-value data products

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options- Experience with SAP S/4HANA data extraction and an understanding of its underlying data structures from a modeling perspective
• You have hands-on experience with schema design and data modeling and working with business stakeholders and data engineers to provide production level data solutions
• Experience in Enterprise Data Warehouse (EDW) design and modeling methodologies including building multi-layered data architectures (staging, core/integration, and semantic/consumption layers)
• Proven, hands-on experience with at least one of the following: SAP HANA XSA, SAP Datasphere, or Snowflake
• Deep knowledge of complex SQL, stored procedures, and performance tuning for large-scale enterprise datasets
• Minimum of 5 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering data solutions
• Excellent analytical and stakeholder management skills, with the ability to translate complex technical concepts to cross-functional teams in fluent English
• Building data exploration/visualization and designing data story telling
• Experience leveraging AI-assisted tools to accelerate data modeling, query optimization, and data analysis is a plus
• Working with ETL/ELT tools and methodologies
• Hands-on experience with version control (Git/GitHub/GitLab) and automated deployment pipelines (CI/CD)
• Writing and maintaining high-quality and reusable code, applying design patterns and meeting coding standards
• Takes ownership of data initiatives, actively anticipates architectural bottlenecks, and drives continuous improvements without waiting for direction
• Familiarity with Agile frameworks (Scrum or Kanban) and collaborative delivery tools like Jira
• Familiarity with Data Product concepts, including managing data assets as products, defining data contracts, and designing user-centric, reusable data models is a plus