Senior SAP Data Analytics Engineer

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

Minimum of 5 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering 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)

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

Deep knowledge of complex SQL, stored procedures, and performance tuning for large-scale enterprise datasets

Experience with SAP S/4HANA data extraction and an understanding of its underlying data structures from a modeling perspective

Proven, hands-on experience with at least one of the following: SAP HANA XSA, SAP Datasphere, or Snowflake

Working with ETL/ELT tools and methodologies

Writing and maintaining high-quality and reusable code, applying design patterns and meeting coding standards

Hands-on experience with version control (Git/GitHub/GitLab) and automated deployment pipelines (CI/CD)

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

Excellent analytical and stakeholder management skills, with the ability to translate complex technical concepts to cross-functional teams in fluent English.

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

: Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide;

Working in a fast-paced and performance driven culture;

Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation

Need more flexibility in your work week? We are happy to consider part-time, and reduced working week opportunities* (min. 32 hours per week, subject to terms and conditions)

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.