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# Data Engineer I

- **Company:** Booking.com
- **Location:** Amsterdam, Netherlands
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Query Performance, Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, Big Data, Information Systems, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Distributed Computing Environment, Github, Python (Programming Language), Scrum Methodology, Software Tools, Cloud Services, Standard Sql, SQL Databases, User-Centered Design, Workflow Management Systems, Snowflake, Apache Spark, Gitlab, Git, Data Layers, Pyspark, Core Data, Information Technology, Collibra, Apache Flink, Apache Kafka, Data Management, Terraform, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d9e0521ea4558d70

## About the Role

+ 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.

## Description

* 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., + 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.