• Bachelor’s Degree & 3-5 years of relevant experience

• Solid understanding of relational and dimensional data modeling.
• Strong understanding of cloud data warehousing, ideally on Snowflake.
• Working knowledge 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 comparable areas); transferable experience from other domains is also valued.
• Awareness of data privacy and security concepts (GDPR/PII).
• Nice to have (*): Awareness of Risk & Control / SOX concepts and how they apply to data and reporting.

• Strong SQL skills on Snowflake or a comparable cloud warehouse—including window functions, set operations, and performance basics.
• Hands-on Snowflake experience: virtual warehouses, roles, basic performance tuning.
• Hands-on experience with dbt (models, tests, macros, documentation).
• Working knowledge of Python, including object-oriented Python — used for Dagster assets and Data Analytics Engineering tasks.
• Familiarity with Dagster or Airflow (or another modern orchestrator).
• Working knowledge of Git and CI/CD pipelines.
• Working knowledge of AWS services for data workloads — S3 and at least one of Lambda or Glue — including basic IAM and CloudWatch awareness.
• Terraform and infrastructure-as-code experience is a plus (*).
• Docker and containerized workflows experience is a plus (*).
• Awareness of BI / Dashboard concepts and semantic layers—sufficient to collaborate with the Reporting team.
• Work experience with Streamlit (or similar lightweight data app frameworks) is a plus (*).
• Hands-on experience using AI / LLM-based tools to accelerate engineering work—code generation, code review, debugging, documentation, and data exploration—is a plus (*).

• Delivers well-scoped pipelines and models end-to-end, with quality, under the guidance of senior peers.
• Breaks down requirements provided by Product/BAs into clear technical sub-tasks.
• Communicates progress, risks, and blockers clearly and proactively.
• Demonstrates curiosity about the broader data platform and the business domains served.
• Excellent English communication skills (verbal and written).

• Pipeline Development: Builds and maintains data ingestion, transformation, and orchestration pipelines on Snowflake, dbt and Dagster (or Airflow/equivalent) under established team standards, ensuring data is delivered on time and to agreed quality.
• Data Modeling on Snowflake: Implements dimensional data models on Snowflake based on requirements gathered by Business Analysts and Product, 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 object-oriented code—for Dagster assets, sensors and IO managers, as well as for general Data Analytics Engineering tasks.
• Source Integration: Integrates data from a wide variety of sources (ERPs, transactional systems, SaaS tools, flat files, spreadsheets, etc.), with awareness of the relevant business semantics.
• Quality, Testing & Monitoring: Writes tests (dbt tests, custom checks), implements basic data quality monitoring, and proactively investigates anomalies for the pipelines they own.
• Operational Excellence (Awareness Level): Works within the team's CI/CD, Git, Docker, and Terraform setup with growing independence; contributes to infrastructure-as-code and DataOps practices under guidance of senior peers.
• Collaboration: Partners daily with other Data Analytics Engineers, the Reporting team, Business Analysts and the Product Manager to translate requirements into pragmatic technical solutions, escalating ambiguity early.
• Documentation & Knowledge Sharing: Documents the pipelines, models, and decisions they own and shares learnings with the team through code reviews and informal knowledge sessions.

• Health insurance
• Prepaid medical subscription (Regina Maria)
• Life insurance
• Meal vouchers
• Learning wallet
• Travel benefit
• Annual vacation leave of 25 business days, pro rata with the working period
• Birthday day off
• Summer break (short Fridays during summer)
• Work from Abroad program (up to 20 days/year in EU)
• Floating days off
• 2 Volunteer days/ year
• Home office one-time bonus
• Bookster
• Linkedin learning platform
• Headspace
• Employee discounts (travel, gym, dental, vision)

Booking Holdings Center of Excellence is part of Booking Holdings, the world's leading provider of online travel and related services, with a rich heritage of digital innovation. The Center provides access to specialized and highly skilled talent, supports projects powered by new and emerging technologies, leverages industry best practices, and fosters collaboration opportunities across all of the Booking Holdings brands, including Booking.com, Priceline, Agoda, KAYAK and OpenTable.

If you are interested to find out more about the Booking Holdings Center of Excellence visit our website: www.bookingholdings-coe.com.

Booking Holdings (NASDAQ: BKNG) is the world’s leading provider of online travel and related services, provided to consumers and local partners in more than 220 countries and territories through five primary consumer facing brands: Booking.com, Priceline, Agoda, KAYAK and OpenTable. The mission of Booking Holdings is to make it easier for everyone to experience the world.