# Booking Holdings Romania - Data Analytics Engineer I at Booking.com

Booking.com is hiring a Booking Holdings Romania - Data Analytics Engineer I in Bucharest, Romania. Level rates it Little AI ●○○○; you can [apply on Booking.com](https://jobsbylevel.com/go/84616414-4dc1-48bf-90b3-d98d2ac11354?utm_medium=ai-agent).

AI Level 1, AI centrality 32 out of 100. Bucharest, Romania.

## Details

- Company: [Booking.com](https://jobsbylevel.com/companies/booking-com)
- AI level: AI Level 1 (score 32 out of 100)
- Location: Bucharest, Romania
- Posted: October 21, 2026
- Apply: https://jobsbylevel.com/go/84616414-4dc1-48bf-90b3-d98d2ac11354?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=booking-holdings-romania-data-analytics-engineer-i-at-booking-com-62e7bf

## Description

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. Operational Excellence (Awareness Level): Learns to work within the team's CI/CD, Git, Docker and Terraform setup, contributing to DataOps practices under the direction of senior peers. Collaboration: Works closely with other Data Analytics Engineers, the Reporting team, Business Analysts and the Product Manager, asking questions and escalating ambiguity early to translate requirements into technical tasks . Documentation & Knowledge Sharing: Documents the tasks, models and pipelines they contribute to, and actively participates in code reviews and knowledge sessions to accelerate their learning. Role Qualifications and Requirements Bachelor’s Degree & 1-3 years of relevant experience Foundational understanding of relational and dimensional data modeling. Basic understanding of cloud data warehousing, ideally on Snowflake. Awareness of data warehousing methodologies (Kimball); Data Vault is a nice to have (*). Awareness of business domains involving data and reporting (such as Finance, FP&A, Treasury, Procurement, Market Intelligence or

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/booking-holdings-romania-data-analytics-engineer-i-at-booking-com-62e7bf

Source: https://jobsbylevel.com/jobs/booking-holdings-romania-data-analytics-engineer-i-at-booking-com-62e7bf

## Cite this page

Level. https://jobsbylevel.com/jobs/booking-holdings-romania-data-analytics-engineer-i-at-booking-com-62e7bf.

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