SAP Data Analytics Engineer II

Booking.com is seeking a SAP Data Analytics Engineer II to join its Financial Systems team in Amsterdam. The role involves building and maintaining scalable data pipelines, models, and integrations across SAP, AWS, and Snowflake to ensure reliable and traceable financial data. Candidates need 3–5 years of data engineering experience with strong SQL and SAP or Snowflake expertise.

AI-enabledHybridFull-timeMid LevelSAP HANASAP Datasphere

SAP Data Analytics Engineer II

Booking.com is seeking a SAP Data Analytics Engineer II to join its Financial Systems team in Amsterdam. The role involves building and maintaining scalable data pipelines, models, and integrations across SAP, AWS, and Snowflake to ensure reliable and traceable financial data. Candidates need 3–5 years of data engineering experience with strong SQL and SAP or Snowflake expertise.

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AI-enabledHybridFull-timeMid LevelSAP HANA

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site; hybrid working with flexible arrangements and up to 20 days per year working from abroad

Experience Required

5 years

Employment Type

Full-time

Experience Level

3–5 years of relevant professional experience

Core Qualifications

Technical (Must-have)

SAP HANASAP DatasphereSAP HANA CloudSnowflakeSAP S/4HANACDSBW/4HANAXSASQLPythonETL/ELTData ModelingDimensional ModelingData VaultGit

Soft Skills

Stakeholder engagementCommunicationProblem solvingOwnershipCollaborationTraining

Preferred Qualifications

Technical (Nice-to-have)

SAP-based financial reportingdbtYAMLApache AirflowCI/CDAI-assisted tools

Key Responsibilities

•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

Data EngineeringSAPSnowflakeFinancial SystemsSQLPythonAWSETLData ModelingSoftware Development