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Data Engineer

Global Fashion Group (“GFG”) is the #1 online fashion platform for emerging markets. It operates across four continents and 24 countries and employs over 9,000 people via its five brands / ventures: ZALORA in Southeast Asia, THE ICONIC in Australia and New Zealand, DAFITI in Brazil/Latam and LAMODA in Russia / Ukraine / Kazakhstan / Belarus.

At GFG, Technology is core to long-term success and is a crucial enabler of a great Customer Experience. We’re a mix of experts in fashion, logistics, data analytics, marketing, and design, guided by business consultants and tech geniuses – everyone contributes to the success of GFG.

If this sounds like your kind of gig, be part of a creative, passionate and dynamic team that works hard but throws a great party as well.

We are looking for a Data Engineer to join our Data Science Team. As a Data Engineer, you will:

  • Work daily to scale machine learning problems. For this purpose, you are expected to be involved in the process of collecting, storing, processing, and analyzing data generated from our database, in addition to joining our data scientists in the design of machine learning models.
  • Work in a diverse, international setting with teammates who are experts in various topics. We often conduct workshops to improve our individual skill sets, and to improve our workflow as a team. The role is based in our Vietnam office.


  • Bachelor or Master degree in Computer Science or a related technical discipline

What do we expect from you:

1. Be familiar with:

  • Data structures & algorithms
  • Data modelling
  • Basic machine learning algorithms
  • Following languages: SQL, Python, R, Java/Scala
  • Any of the following databases: MySQL, PostgreSQL, MongoDB, HBase, Cassandra, Redshift
  • Cloud technologies: AWS, GCP (BigQuery)

2. Be knowledgeable in:

  • Object oriented design and design patterns
  • Large-scale distributed systems
  • Hadoop, Spark and Pandas or similar processing engines
  • Jupyter Notebook or Zeppelin
  • Apache Airflow, Apache Superset

3. Good to have:

  • Knowledge of data visualization
  • Good background in statistics
  • Knowledge in data analysis, data mining, or machine learning
  • Experience working with big data

*We thank you for your interest, however only shortlisted candidates will be contacted.


Apply today and join GFG in this exciting role shaping the face of fashion e-commerce!

Global Fashion Group embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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