Data Engineer I
Booking.com2 days ago
Amsterdam, NetherlandsEntry Level / Mid Level
Responsibilities
- Design, develop, test, deploy, and monitor moderately complex production data pipelines and data models independently.
- Translate finance business requirements into technical designs and build unified data products from disparate operational datasets.
- Model finance data using Data Vault and Kimball dimensional modeling techniques.
- Write data transformations in SQL and Python and orchestrate workflows using Airflow or Dagster.
- Manage infrastructure as code through Git and automated CI/CD pipelines, and contribute 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 in accordance with change management and access control requirements.
- Support month-end close, statutory and external reporting, forecasting, and self-service analytics within required timelines.
- Participate in operational support rotations, monitor SLIs and SLOs, investigate incidents, and lead postmortems.
- Collaborate with FP&A, Accounting, Tax, Audit, Financial Systems, Group Reporting, central technology, and product teams.
- Support and mentor less experienced team members.
Requirements
- 1–3 years of relevant professional experience as a Data Engineer or similar data-focused engineering professional.
- 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 Snowflake, AWS, S3, and workflow orchestration using Dagster or Airflow.
- Experience with ETL/ELT pipelines, Kimball dimensional modeling, Git, GitHub or GitLab, and CI/CD pipelines.
- Strong data quality skills including testing, validation, and reconciliation, plus the ability to work independently in Scrum or Kanban environments.
- Excellent written and verbal English communication skills.
- Preferred experience with dbt, Data Vault modeling, Terraform, SOx-compliant or regulated reporting environments, Spark or PySpark, Kafka or Flink, Collibra, Immuta, and AI-assisted engineering tools.
Benefits
- Annual paid time off and paid parent, grandparent, bereavement, and care leave.
- Hybrid working with flexible arrangements and up to 20 days per year working from abroad in the home country.
- Industry-leading product discounts of up to 1400 per year, including automatic Genius Level 3 status and Booking.com wallet credit.
- Accessibility adjustments and tools are provided for the application, interview, and employment process.
Tech Stack
Categories
Data Engineering
About Booking.com
Booking.com operates a global online travel platform for booking accommodations, flights, car rentals, and experiences for consumers and business travelers. It earns primarily through commissions and merchant/agency models with hotels, vacation rentals, and other travel partners. Founded in 1996 and headquartered in Amsterdam, it is part of Booking Holdings and serves users and suppliers across hundreds of markets worldwide.