Junior Data Engineer - FP&A Data Platform (Hybrid)

Booking.com; Amsterdam; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Annual leave/paid time off

Hybrid working arrangements

Booking.com discounts

Job summary

Booking.com’s FP&A Data Engineering team is seeking a Data Engineer to own end-to-end data solutions, build and monitor production-grade data pipelines, and connect disparate datasets into unified data products.

You will work with FP&A Analysts, Accounting, Tax, Audit, and central tech teams to support month-end close, reporting, forecasting, and self-service analytics using Data Vault and Kimball modeling.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Skills

Python

SQL

Data modeling (Data Vault & Kimball)

Airflow / Dagster

Cloud platforms (Snowflake, AWS, S3)

ETL/ELT pipelines

Git / CI/CD

Agile/Scrum/Kanban

English communication

Education

BSc or higher in Computer Science, Engineering, Information Systems, or related field

Tools

Snowflake

AWS

S3

Dagster

Airflow

Git

Job description

Booking.com’s FP&A Data Engineering team is seeking a Data Engineer to own end-to-end data solutions, build and monitor production-grade data pipelines, and connect disparate datasets into unified data products.

You will work with FP&A Analysts, Accounting, Tax, Audit, and central tech teams to support month-end close, reporting, forecasting, and self-service analytics using Data Vault and Kimball modeling.