SAP Data Engineer II - FinTech

Booking Holdings, Inc.; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Generous paid leave

Product discounts

Booking.com wallet credits

Job summary

Booking.com’s Finance Systems team builds and maintains the financial data platform, including SAP, AWS, Snowflake and related systems. As a Data Engineer II, you’ll design and operate scalable data pipelines, data models and integrations to ensure reliable, traceable and secure financial data used across finance, product and analytics.

You’ll own data quality end-to-end, work with finance stakeholders to translate requirements into robust data designs, and contribute to governance, security and

Qualifications

• 3–5 years of relevant professional experience as a Data Engineer, BI Engineer, Analytics Engineer or similar data-focused role

Responsibilities

• Developing, testing and maintaining scalable data pipelines, data models and integrations that improve the quality, traceability and accessibility of financial data across 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

Skills

SQL

Python

Data modeling

ETL/ELT

Git

Airflow

dbt

Data governance

Data quality

Cloud data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

SAP HANA

SAP Datasphere

SAP S/4HANA

Snowflake

AWS

Job description

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:

• 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;

• Working in a fast-paced and performance driven culture;

• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit

• Promote and drive impactful and innovative engineering solutions

• 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)

Inclusion at Booking.com:

Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Equal Opportunity Statement:

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

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.