SAP Data Analytics Engineer II

Booking.com's Financial Systems team is seeking a Data Engineer II to build and maintain data pipelines, models, and integrations on SAP, AWS, and Snowflake. The role supports regulated payments, financial reporting, and data governance, with opportunities to work on AI consumption layers.

• Developing, testing and maintaining scalable data pipelines, data models and integrations that improve the quality, traceability and accessibility of financial data across our core systems.
• Building and supporting the layers of our enterprise data warehouse - staging, core/integration and semantic/consumption - on SAP HANA, SAP Datasphere, AWS and Snowflake.
• End-to-end ownership of data quality in the datasets and pipelines you deliver, including validation logic, monitoring, automated failure detection and root cause analysis.
• Responsible for data loading, production monitoring and system performance, solving issues with data and data pipelines and prioritizing based on customer and finance process impact.
• Engaging with finance and product stakeholders to understand their needs and translating requirements into logical and technical data designs, surfacing technical trade-offs early.
• Applying the data governance, security and compliance controls required in a regulated payments and e-money environment, including roles and privileges, documentation and data contracts.
• Writing high-quality, reusable and reviewed code that meets our coding standards, and delivering changes through Git and automated CI/CD pipelines.
• Serving as a point of contact for technical and business stakeholders regarding data engineering issues, such as pipeline failures and data quality concerns, and supporting the training of key users.
• Building AI consumption layer for rich semantic data models

• You have 3–5 years of relevant professional experience as a Data Engineer, BI Engineer, Analytics Engineer or in a similar data-focused role
• Hands-on experience with one of the following: SAP HANA including XSA development, SAP Datasphere or SAP HANA Cloud, or Snowflake - combined with the ambition to grow across the full SAP and Snowflake stack.
• Experience with SAP data products: SAP S/4HANA data structures and CDS/embedded extraction, BW/4HANA, and XSA and DB security concepts such as roles and privileges.
• Knowledge and experience of SAP-based financial reporting, or a track record of working closely with finance stakeholders, is a plus.
• Strong knowledge of SQL, including stored procedures, functions and performance tuning on large enterprise datasets, is required; working knowledge of Python for data processing and automation is expected.
• You have hands-on experience building and operating production-grade data pipelines and ETL/ELT solutions in cloud and hybrid environments, with a strong focus on scalability, reliability and data quality.
• You have practical experience with data modeling - dimensional modeling or Data Vault - and understand how to model, transform and expose data so it can be trusted and effectively used by analytics, finance and product stakeholders.
• Experience with dbt and with descriptor file formats such as YAML; exposure to orchestration tooling such as Apache Airflow is a plus.
• Experience with Git concepts (GitHub/GitLab) is a must; experience with CI/CD and automated deployment pipelines is a plus.
• Experience leveraging AI-assisted tools to accelerate data modeling, query optimization and data analysis is a plus.

• 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
• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation