SAP Data Engineer (FinTech)

Join <Booking.com> as a Data Engineer II in the Financial Systems team. You will build and maintain data pipelines, models, and integrations to ensure reliable, traceable, secure, and easy-to-use financial data. Your work will support regulated payments, accurate reporting, operational visibility, and better decision-making as <Booking.com> grows globally. You will have opportunities to develop your skills and take on new responsibilities as the organization grows.

• Construire et maintenir des pipelines de données, des modèles et des intégrations pour garantir que les données financières sont fiables, traçables, sécurisées et faciles à utiliser.
• Assurer la qualité des données dans les ensembles de données et les pipelines livrés, y compris la logique de validation, la surveillance, la détection automatique des pannes et l'analyse des causes profondes.
• Collaborer avec les parties prenantes financières et produit pour comprendre leurs besoins et traduire les exigences en conceptions de données logiques et techniques.
• 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 Git concepts (GitHub/GitLab) is a must; experience with CI/CD and automated deployment pipelines is a plus
• Knowledge and experience of SAP-based financial reporting, or a track record of working closely with finance stakeholders, is a plus
• Experience with dbt and with descriptor file formats such as YAML; exposure to orchestration tooling such as Apache Airflow is a plus
• Experience leveraging AI-assisted tools to accelerate data modeling, query optimization and data analysis is a plus
• 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
• 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 3–5 years of relevant professional experience as a Data Engineer, BI Engineer, Analytics Engineer or in a similar data-focused role
• 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
• 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