- This position requires a strong focus on data engineering. Design, build, and maintain data pipelines and workflows that extract, transform, and load (ETL) data from various and complex sources. Ensure high data quality and accessibility for downstream teams.
Identify key customers and collaborate proactively through effective communication and addressing their needs.
Prioritize impactful business problems, translate them into feasible data problems, and solve them effectively by applying suitable statistical data analysis and modeling methods.
Identify, source, and prioritize data required for the solution and prepare it in a way that makes it fit for use.
Transform large, sophisticated datasets into pragmatic, useable insights.
Maintain the data processing workflows that provide clean and curated data in their area.
Use data visualization skills and storytelling to drive actions from internal customers.
Craft and interpret quantitative experiments to objectively guide key business decision making.
- Strong experience in data engineering concepts: ETL, data warehousing, data modeling, and data quality management
Experience solving real problems using data mining techniques and with statistical rigor, and translating business problems into data problems.
Knowledge and practical experience of Statistical Methods (e.g., Testing, Generalized Linear Models (GLM), Inference), Statistical/Machine Learning (e.g., Dimension Reduction, Clustering, Regularisation, Bagged/Boosted methods), and Time Series.
Strong experience with A/B Testing and a range of Experimentation methods.
Solid understanding of Hadoop, Spark, SQL, Python, and/or R.
Solid understanding of data management, including schema design, data pipelines, and workflows.
Strong stakeholder management skills and fluent in English and Chinese communication.
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
Free access to online learning platforms, development and mentorship programs
Global Employee Assistance Program, free Headspace membership
Let’s go places together:
The general recruitment process may entail: a phone discussion with the recruiter and business interviews
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
