SAP Data Analytics Engineer II

Booking.com; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Annual leave

Hybrid work

Product discounts

Genius status

Wallet credit

Job summary

Booking.com is seeking an SAP Data Analytics Engineer II in Amsterdam to build and maintain data pipelines, models and integrations across SAP HANA, AWS and Snowflake. You will ensure financial data reliability, traceability and security while supporting regulated payments and e-money services.

You will work on data extraction, warehouse modelling, data quality, monitoring, orchestration and governance, collaborating with finance and product stakeholders to translate requirements into robust

Qualifications

• 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 SAP HANA (XSA) or SAP Datasphere, or Snowflake with ambition to expand across SAP/Snowflake stack.
• Experience with SAP data products and financial reporting considerations is a plus.
• Strong knowledge of SQL with performance tuning on large datasets; Python for data processing is expected.

Responsibilities

• Develop, test and maintain scalable data pipelines, data models and integrations to improve data quality and accessibility across core systems.
• Build and support the enterprise data warehouse layers – staging, core/integration and semantic/consumption – on SAP HANA, SAP Datasphere, AWS and Snowflake.
• Own data quality end-to-end including validation logic, monitoring and root-cause analysis.
• Handle data loading, production monitoring and system performance, prioritizing impact on finance processes.
• Translate finance and product needs into logical/technical data designs with stakeholder collaboration.
• Apply data governance, security and compliance controls in a regulated payments environment.
• Write high-quality, reusable code with Git and CI/CD deployment pipelines.
• Be a point of contact for data engineering issues and support key users.

Skills

SQL

Python

Data modeling

dbt

Git

CI/CD

Apache Airflow

Data warehousing

ETL/ELT

Tools

SAP HANA

SAP Datasphere

SAP HANA Cloud

Snowflake

AWS

GitHub/GitLab

CI/CD pipelines

Airflow

dbt

Job description

Role:

SAP Data Analytics Engineer II

• Amsterdam, Netherlands
• Fintech

About Us:

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.

Role Description:

The Financial Systems team supports Finance by managing Booking.com’s financial data platform, including SAP, AWS, Snowflake, and connected systems. We are building simpler finance tools that provide better insights.

As a Data Engineer II, you will build and maintain data pipelines, models, and integrations. You will help ensure financial data is reliable, traceable, secure, and easy to use.

Your work will support regulated payments and e-money services, accurate reporting, operational visibility, and better decision-making as Booking.com grows globally. You may work on data extraction, warehouse modelling, data quality, monitoring, orchestration, performance, and governance.

The role will evolve as the organization grows, offering opportunities to develop your skills and take on new responsibilities.

Key Job Responsibilities and Duties:

• 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

Role Qualifications and Requirements

• 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.

Benefits & Perks - Global Impact, Personal Relevance:

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;
• 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

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)

This role does not come with relocation assistance.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre‑employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre‑employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.