Data Engineer I

General Introduction to Business Unit At Booking.com, data drives our decisions, technology is at our core, and innovation is everywhere. Finance sits at the centre of that scale. The FP&A Data Engineering team, part of FP&A Tech within Finance, builds and operates the data platforms, pipelines, and data products that Financial Planning & Analysis depends on—from month-end close and regulatory reporting through to planning, forecasting, and self-service analytics. The work is auditable, high-visibility, and consumed directly by Finance leadership and Booking Holdings.

Role Overview

• Own the end-to-end design, delivery, and operation of moderately complex data solutions within the FP&A Data Engineering team.
• Build, deploy, and monitor production-grade data pipelines independently, translating finance business requirements into robust tech designs.
• Connect disparate operational datasets across our SOx-compliant and central company data platforms into well-managed, unified data products.
• Support critical month-end close, statutory/external reporting, forecasting, and self-service analytics through high-quality data modeling (Data Vault and Kimball).
• The FP&A Data Engineering team operates within FP&A Tech in the Finance Business Unit, building and maintaining the core data infrastructure that powers all financial planning, reporting, and analytics across Booking.com and Booking Holdings.
• In this role, you will collaborate closely with FP&A Analysts, Accounting, Tax, Audit, Financial Systems, and Group Reporting teams, as well as central technology and product teams.

Key Job Responsibilities And Duties

• Build and Own Data Solutions:

• Design, develop, test, deploy, and monitor moderately complex data pipelines and data models in production independently.

• Model finance data across data warehouse layers using Data Vault and dimensional (Kimball) modelling techniques.

• Write transformations in SQL and Python, orchestrate workflows (Airflow/Dagster), and manage infrastructure as code via Git and automated CI/CD pipelines.

• Connect disparate datasets into well-managed, unified data products while contributing to platform migration, semantic layers, and automation.

• Data Quality, Governance and SOx:

• Own data quality, validation, reconciliation, automated failure detection, and schema validation.

• Deliver changes to SOx-relevant data assets following change management and access control requirements.

• Operations and Incident Management:

• Support recurring finance cycles (month-end close, statutory/external reporting) within close-cycle timelines.

• Participate in operational support rotas, monitor SLIs/SLOs, investigate incidents, and lead postmortems to implement permanent fixes.

• Collaboration and Mentoring:

• Translate finance business requirements into technical designs and collaborate across central tech and product teams.

• Help and support less experienced members of the team with their craft.

Role Qualifications And Requirements

• Mandatory / Required:

• 1–3 years of relevant professional experience as a Data Engineer or similar data-focused engineering role.

• BSc or higher in Computer Science, Engineering, Information Systems, or a related field (or equivalent work experience).

• Proven working knowledge of Python and strong SQL (including query performance tuning on large datasets).

• Hands-on experience with cloud data platforms (Snowflake, AWS, S3) and workflow orchestration (Dagster or Airflow).

• Experience with ETL/ELT pipelines, dimensional modelling (Kimball), Git (GitHub/GitLab), and CI/CD pipelines.

• Strong data quality mindset (testing, validation, reconciliation) and ability to work independently in an Agile (Scrum/Kanban) environment.

• Excellent written and verbal English communication skills.

• Desirable / Nice to Have:

• Experience with dbt, Data Vault modelling, and Terraform (infrastructure as code).

• Experience working in SOx-compliant or regulated reporting environments.

• Exposure to distributed processing (Spark/PySpark) or event-based streaming (Kafka/Flink).

• Familiarity with data governance tooling (Collibra, Immuta) and AI-assisted engineering tools.

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

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.

Application Process:

• Let’s go places together: How we Hire
• Detailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department.

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.