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Amsterdam
3 weeks ago
Senior SAP Data Analytics Engineer logo

Senior SAP Data Analytics Engineer

Booking.com

Amsterdam
3 weeks ago
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Senior SAP Data Analytics Engineer

Booking.com is seeking a Senior SAP Data Analytics Engineer in Amsterdam to build and scale data foundations for regulated payments and e-money services. The role requires 5+ years of data engineering experience, expertise in enterprise data warehouse design, complex SQL, and hands-on experience with SAP S/4HANA, SAP HANA XSA, SAP Datasphere, or Snowflake.

HybridFull-timeSeniorSQLSAP S/4HANA

Senior SAP Data Analytics Engineer

Booking.com is seeking a Senior SAP Data Analytics Engineer in Amsterdam to build and scale data foundations for regulated payments and e-money services. The role requires 5+ years of data engineering experience, expertise in enterprise data warehouse design, complex SQL, and hands-on experience with SAP S/4HANA, SAP HANA XSA, SAP Datasphere, or Snowflake.

Apply
HybridFull-timeSeniorSQL

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

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

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
SQLSAP S/4HANASAP HANA XSASAP DatasphereSnowflakeETL/ELTGitGitHubGitLabCI/CDData ModelingEnterprise Data Warehouse (EDW)Stored ProceduresPerformance TuningAgileScrumKanbanJira
Soft Skills
AnalyticalStakeholder managementCommunicationMentoringCoachingOwnershipContinuous improvementCollaboration

Preferred Qualifications

Technical (Nice-to-have)
AI-assisted toolsData Product conceptsData contracts

Key Responsibilities

  • •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
Data EngineeringSAPFinTechPaymentsSoftware DevelopmentSeniorAmsterdamFull-timeOn-siteSQL
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