Data Engineer

Job description

Data Engineer at GoPomelo are working on some of the most interesting problems in a variety of different domains, working on both internal products and providing world-class consulting to clients.

You will join our team of Researchers and Data Engineer from around the world in doing research and tackling real-world problems for our clients, and for our Data Innovation Lab with strong data analytics infrastructure in Google Cloud


Responsibilities Include

  • Extract huge volumes of data from multiple sources; including DWH, Big Data Hadoop, Social unstructured data, etc.

  • Employ sophisticated analytics programs and statistical methods to prepare data for use in predictive and prescriptive modeling

  • Formulate hypotheses for testing and designing experiments to capture new data

  • Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities

  • Develop model and conduct analyses using tools which may include Python, SQL, MapReduce, etc.

  • Develop Machine Learning, Deep Learning, and AI algorithm to solve respective business cases and pain points.

  • Communicate predictions and findings to management and other relevant teams through effective data visualizations, reports, and presentations

  • Identify practical approach to test and learn key hypotheses to extend analytic insight.


  • Bachelor / Master s’ degree in Business Administration, Economics, or Engineering with heavy concentration in statistics. Quantitative-oriented MBA is desired.

  • Passion for Data Science, Machine Learning in a research or consulting basis

  • A rigorous understanding of the fundamentals of statistics applied to business challenges and microeconomics is required

  • Strong proficiency in Excel/Sheets, Python, SQL, or other related coding languages and statistical, and data visualization tools

  • Familiarity with decision techniques including optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models

  • Solid experience in traditional analytics, text analytics, voice analytics, Machine Learning, Deep learning, and AI

  • Good communication and presentation skills in English or Thai


  • Health Insurance
  • Provident Fund
  • Social Security
  • 10 days Annual Leave Pro-rata
  • Free LinkedIn Learning account with access to more than 15k courses
  • Free MacBook from the company
  • Training and Google certification
  • GoPomelo Bonus Scheme (Pro-rata for any incomplete)
  • Friday social time and refreshments TGIF (Food & Drink)
  • Be part of a fast moving enterprise
  • Free rooftop gym at Campus 101