Data Engineer
Global Fashion Group
Ho Chi Minh, Viet Nam
2 ngày trước

Global Fashion Group (GFG) is the leading fashion and lifestyle retail destination in Asia Pacific, Latin America and CIS.

We connect over 10,000 global, local and own brands to a market of more than one billion consumers through four established e-commerce platforms : THE ICONIC, ZALORA, dafiti and lamoda.

Through an inspiring and seamless customer experience enabled by our own technology ecosystem and operational infrastructure, we are dedicated to being the #1 fashion and lifestyle destination in our markets.

With 17 offices and 10 fulfilment centres across four continents, GFG proudly employs a dynamic and diverse team with deep local knowledge and expertise.

In 2019, GFG delivered more than 34 million orders to over 13 million active customers.


At GFG, technology is core to long-term success and is a crucial enabler of a great customer experience. We are 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.

We are looking for a Data Engineer to join our team in Vietnam :


  • 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.


    Data at GFG never stops growing and the team also never stops learning, innovating and expanding so that we can bring in or build the latest and best tools and technologies.

    In this role, you will be able to create strategic data models, develop and maintain data architecture used to power high-impact business initiatives that contribute to the overall growth and strategy for GFG.


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

    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

  • The unique opportunity to have a serious impact on a growing organisation;
  • A dynamic working environment shaping the face of fashion e-commerce in growth markets
  • Significant career growth opportunities in a fast-growing business, gain working exposure in the 20+ countries across the group
  • Work closely with a global talent pool with international mindset
  • Apply today and join GFG in this exciting role shaping the face of fashion e-commerce!

    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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