Booking Holdings Romania - Data Analytics Engineer I

Booking Holdings Romania is a Center of Excellence based in Bucharest, Romania and was created to support the increasing business demands of the Booking Holdings Brands. The Center of Excellence provides access to specialized and highly skilled talent, leading industry best practices, and collaboration opportunities across all of our Brands.

As part of our Booking Holdings Romania team, you will have the opportunity to be a part of the world’s leading provider of online travel, with a mission of making it easier for everyone to experience the world through six-primary consumer facing brands: Booking.com, Priceline, Agoda, KAYAK, OpenTable and Rentalcars.com.

Role description

The Data Analytics Engineer I operates as a developing contributor on data pipelines and data models of low to moderate complexity, supporting the cross-brand data, reporting and analytics needs of Booking Holdings. This role contributes to clearly scoped deliverables — from ingestion, through transformation, to enablement of reporting — under the guidance and framework set by senior peers and the Solutions Architect.

Success in this role means consistent, reliable delivery on assigned tasks and components for the business areas served by the team (such as Finance, FP&A, Treasury, Procurement, Market Intelligence and others), while building a strong foundation in the team's tooling (Snowflake, dbt, Dagster, Python, AWS, Terraform) and growing technical judgement under close guidance from Senior Engineers and the Solutions Architect.

This role provides a hybrid way of working with an onsite presence of 2 days/week. Key Job Responsibilities and Duties

• Pipeline Development: Assists in building and maintaining data ingestion, transformation and orchestration pipelines on Snowflake, dbt and Dagster (or Airflow / equivalent), following established team standards and working under the guidance of senior engineers to deliver assigned components on time and to agreed quality.

• Data Modeling on Snowflake: Implements well-defined, low to moderate complexity dimensional data models on Snowflake based on requirements provided by Business Analysts and Product, closely following team conventions for naming, layering and documentation; exposure to other modeling approaches (e.g. Data Vault) is a plus.

• Python for Data Analytics Engineering: Writes clean, testable Python — including basic object-oriented code — for Dagster assets and general Data Analytics Engineering tasks, with support and code review from senior peers. -is considered a plus

• Source Integration: Helps integrate data from a variety of sources (ERPs, transactional systems, SaaS tools, flat files, spreadsheets, etc.), developing familiarity with the relevant business semantics.

• Quality, Testing & Monitoring: Writes basic tests (dbt tests, custom checks) and helps monitor data quality for the pipelines they contribute to, escalating anomalies to senior peers for investigation.