• Full Time
  • Bangkok
HotelQuickly is the #1 mobile app for last-minute hotel booking in Asia-Pacific.We are looking for a Data Engineer who has experience in working with a wide variety of languages, such as Python and SQL, a variety of raw data formats, such as JSON and CSV, in a fast-paced and friendly environment.  Your primary role will be to build out a world class data platform to enable reporting, data sciences, and analytics to meet its challenges. Previous work with Python-based ETL solutions, such as Airflow, is a huge plus.

Quick facts about the team:

  • Headquarters in Bangkok, Thailand  
  • More than 100 employees
  • From 50+ nationalities
  • Speak 25+ languages
  • And work from 10 offices in APAC & USA


  • Perform design, creation and management of large datasets to achieve business goals.
  • Evaluate datasets for accuracy and quality.
  • Perform data updates, indexing, and maintenance in application database.
  • Help to implement new data management projects and re-structure of the current data architecture.
  • Assist team in data management projects when needed.
  • Process and update third party data sources.
  • Work with Business Customers in understanding the business requirements and implementing solutions.
  • Identify and solve issues concerning data management to improve data quality.
  • Develop best practices for data management, maintenance, reporting and security.
  • Improve data foundational procedures, guidelines and standards.
    Review dataset implementations performed by other data engineers.
  • Manage, automate workflows and maintain database consistency for hotel mapping processes across suppliers.


What you will bring

  • 2+ years of experience working as a Data Engineer or in the data warehouse space (ETL design, implementation, and maintenance).
  • Proficiency with Python / Java.
  • In-depth knowledge of how to write and optimize SQL statements.
  • Experience with Dataflow, Airflow, Mongodb.
  • Experience with cloud services is a plus (GCP/BigQuery, Amazon/Redshift, S3).
  • Familiarity with distributed processing is a plus (hadoop Map-Reduce, MPP, etc.).
  • Knowledge in Data Analysis and Machine Learning / tools is a plus (Tableau, Pandas, Scikit-learn or Tensorflow).
  • Innately curious and organized with the drive to analyze data to identify deliverables, anomalies, and gaps and propose solutions to address these findings.
  • Ability to manage and communicate data warehouse plans.
  • Thrives in a fast-paced startup environment.
  • Strong analytical and excellent problem solving skills.
Want to know how much you need to live in Bangkok? Check our snapshot of living costs in BKK

To apply for this job email your details to jobs@hotelquickly.com