Data
Data Engineer (Fintech)
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’re looking for an experienced Data Engineer to join our Fintech Data & AI team, building scalable data platforms and pipelines that power analytics, AI, and next-generation financial products.
Responsibilities
Design, build, and operate scalable data pipelines to support Fintech products and platforms.
Develop ETL/ELT workflows and integrate data from multiple internal and external sources.
Build and optimize batch and/or real-time streaming data processing systems.
Contribute to the design and development of Data Warehouse, Data Lake, and Lakehouse architectures.
Build and maintain reliable datasets for BI, Analytics, Data Science, Machine Learning, and AI applications.
Ensure data quality, consistency, security, availability, and traceability across data platforms.
Optimize data processing performance, query efficiency, scalability, and infrastructure costs.
Collaborate closely with Data Analysts, Data Scientists, AI Engineers, Backend Engineers, and business teams to deliver data-driven products and solutions.
Contribute to standards and best practices for Data Quality, Data Governance, Monitoring, and Data Security.
Requirements
More than 4 years of experience in Data Engineering or a related role.
Strong proficiency in SQL and hands-on programming experience with Python, Java, or Scala.
Solid experience in designing, developing, and operating ETL/ELT processes and data pipelines.
Hands-on experience with large-scale data processing technologies such as Apache Spark or equivalent.
Experience with streaming or messaging technologies such as Kafka, Flink, or equivalent is a strong advantage.
Experience with workflow orchestration tools such as Apache Airflow or equivalent.
Good understanding of data modeling, Data Warehouse, Data Lake/Lakehouse, and database technologies.
Good knowledge of Linux, Git, Docker, CI/CD, and production environments.
Strong problem-solving skills with the ability to troubleshoot and optimize large-scale data systems.
PREFERRED QUALIFICATIONS
Experience in Fintech, Banking, Payments, E-wallets, or Financial Services.
Experience handling financial transaction data or real-time data where accuracy, reliability, and availability are critical.
Hands-on experience with AWS, GCP, Azure, or other cloud data platforms.
Experience with technologies such as dbt, Databricks, BigQuery, Snowflake, Trino/Presto, or equivalent.
Experience building data platforms for Machine Learning/AI, Fraud Detection, Risk Management, Recommendation Systems, or Customer Analytics.
Knowledge of Data Governance, Data Security, privacy, and sensitive data protection within financial environments.
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
- Technopark Building, Hanoi
- Vincom Dong Khoi, HCMC
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