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Data

Senior Data Engineer

HCMCMiddle/SeniorFull-timeOpenings: 2Deadline: August 31, 2026

About the company

VinSmart Future (VSF) is Vingroup's technology company, formed by merging the Group's entire technology ecosystem. As a core driver of Vingroup's future growth, VSF is AI-first - with artificial intelligence as the foundation of everything we build. With a talented team of nearly 4,000 local and international technology experts, VSF focuses on creating high-utility technologies that enhance lives and connect data, models, and infrastructure to unlock new possibilities.

We are looking for an experienced Data Engineer to join our Data team and build scalable data platforms and pipelines supporting business and operational use cases.

You will work with different data sources, design reliable data pipelines and models, and help ensure data is available, accurate and ready for analytics and business applications.

Responsibilities

  • Design, build and maintain scalable ETL/ELT data pipelines from multiple internal and external data sources.

  • Develop and optimise data models for Data Warehouse / Data Lake / Lakehouse platforms.

  • Ensure data quality, reliability and performance of production data pipelines.

  • Work closely with business, analytics and engineering teams to understand data requirements and deliver data solutions.

  • Monitor, troubleshoot and continuously improve data pipelines and platform performance.

  • Contribute to engineering practices such as code review, testing, documentation and CI/CD.

Requirements

  • 4+ years of experience in Data Engineering or a related role.

  • Strong proficiency in SQL and Python.

  • Hands-on experience building and operating ETL/ELT pipelines.

  • Experience with Data Warehouse, Data Lake or Lakehouse architectures.

  • Experience with at least one orchestration tool such as Airflow, Dagster, Prefect or equivalent.

  • Hands-on experience with at least one major cloud platform: AWS, GCP or Azure.

  • Good understanding of data modelling, data quality and pipeline optimisation.

  • Experience working with Git and modern software/data engineering practices.

Nice to Have

Experience with one or more of the following is a plus:

  • dbt or similar transformation frameworks.

  • Kafka or other streaming technologies.

  • ERP/SAP or large transactional systems.

  • Manufacturing, automotive or industrial data.

  • Terraform / Infrastructure as Code.

  • Data governance or data security.

Benefits

  • Income competitive with the market.
  • Lunch allowance.
  • Preferential rates across the Group's ecosystem: tuition discounts (Vinschool), healthcare (Vinmec), resorts (Vinpearl), vehicle purchase (VinFast), and home rental or purchase (Vinhomes) … under the Group's policies.
  • Full insurance coverage as required by the Labor Law (Social, Health, UI), plus Company-provided personal health insurance based on position level, and periodic health check-ups at reputable hospitals and health centers nationwide.
  • Access to strategic, large-scale key technology projects.
  • The opportunity to work in a professional technology environment that brings together scientists, experts and engineers from leading technology companies in Vietnam and worldwide.
  • Free learning resources on Udemy, Coursera and O'Reilly; internal workshops; certification sponsorship; and special mentorship programs from the Group's and Company's leadership.
  • The chance to join the Group's technology clubs and internal tech events to learn and turn personal projects and ideas into reality.
  • Training programs to become an "Internal Trainer" and share expertise, with special benefits.
  • 12 annual leave days, plus public holidays and Tết as regulated by law.

Working Hours

  • 05 official working days at the office (Monday – Friday).
  • 02 remote working days per month on Saturdays on a rotating schedule.
  • Flexible working hours with check-in window from 08:30 – 09:30.
  • Proactively manage time to complete 08 working hours/day.

Work Location

  • Vincom Dong Khoi, HCMC

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