ABOUT VINUNIVERSITY 

VinUniversity (VinUni) is Vietnam’s first private, not-for-profit university established to international standards, with the vision of becoming one of the world’s top 100 universities. Guided by its core values (EXCEL) of Empathy, Creativity, Leadership Mindset, Exceptional Capability, and Entrepreneurial Spirit, VinUni develops talent equipped to create meaningful impact in Vietnam and globally. 

Founded by Vingroup, one of Asia’s largest private conglomerates, VinUni benefits from a dynamic ecosystem spanning Industrials & Technology, Real Estate & Services, Infrastructure, Green Energy, Culture, and Social Enterprises. This ecosystem provides unique opportunities for collaboration and innovation through leading organizations such as VinFast, Vinpearl, Vinmec, Vinschool, and Vinhomes, as well as a vibrant entrepreneurial network including VinVentures, VinMotion, VinRobotics, VinSpace, and VinEnergo, etc. 

VinUni comprises four colleges: the College of Arts and Sciences, the College of Business and Management, the College of Engineering and Computer Science, and the College of Health Sciences. The University has established strategic partnerships with Cornell University, the University of Pennsylvania and Nanyang Technological University to advance excellence in education, research, and innovation. 

In 2024, VinUni became the youngest and fastest university globally to achieve QS 5 Stars, earning the highest rating in nine categories: Global Engagement, Good Governance, Program Strength, Academic Development, Teaching, Employability, Facilities, Arts, and Social Impact. The University was also appointed by UNESCO as the first and only UNESCO Chair University, focusing on Environmental Leadership, Cultural Heritage, and Biodiversity.

As a rapidly growing research-intensive university, VinUni is investing in world-class talent, research centers, and cutting-edge facilities to drive breakthroughs in Artificial Intelligence, Robotics, Data Science, Environmental Intelligence, Innovations in Health Sciences, Policy Development, and Sustainable Societies. 

Job overview 

We are looking for a Data Engineer with a strong backend engineering foundation to design, build, and operate scalable data pipelines, data services, and cloud-based data platforms. 

The ideal candidate should have solid experience in data engineering, backend development, databases, and cloud infrastructure, with the ability to work across data integration, APIs, ETL/ELT, and production operations. 

This role is ideal for: 

• VinUni alumni with strong foundations in AI, ML, or data 
• Engineers trained in VinBigData/ VinAI.. P&L programs 

Key Responsibilities: 

• Design and develop scalable data pipelines, ETL/ELT workflows, and data integration services from multiple internal and external data sources. 
• Build and maintain backend services and APIs for data ingestion, access, synchronization, and system integration. 
• Design and optimize databases, data models, data warehouses/lakes, and analytical workloads for performance and scalability. 
• Develop and operate cloud-based data platforms on AWS/Azure/GCP, leveraging managed compute, storage, database, and data processing services. 
• Implement and maintain workflow orchestration, batch/stream processing, CI/CD, monitoring, logging, and infrastructure automation. 
• Ensure data quality, security, governance, reliability, and availability, while collaborating with Backend, DevOps, BI, and business teams. 
• Qualifications:  

Required: 

• Bachelor‘s degree in Information Technology, Computer Science, System Engineering, or related field. 
• 3+ years of experience in Data Engineering, Backend Engineering, or related software engineering roles. 
• Strong programming skills in Python, Java, Node.js, or similar backend technologies. 
• Hands-on experience with SQL and relational databases such as PostgreSQL/MySQL, including data modeling and query optimization. 
• Experience building ETL/ELT pipelines, data ingestion processes, and integrating data from APIs, databases, files, or messaging systems. 
• Good understanding of RESTful APIs, Microservices Architecture, distributed systems, and backend application development. 
• Experience with at least one major cloud platform such as AWS, Azure, or GCP. 
• Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines. 
• Good understanding of data security, access control, monitoring, logging, and production troubleshooting. 
• Graduates or engineers trained within Vingroup programs or VinUni alumni are highly encouraged. 

Nice to have 

• Experience with real datasets (projects, internships, research). 
• Basic understanding of model deployment, REST APIs, or cloud platforms. 
• Familiarity with SQL, data pipelines, or basic DevOps concepts. 
• Participation in AI competitions, research projects, or open-source contributions. 

What You Will Learn & Build 

• AI-powered capabilities that enhance teaching, learning, research, student experience, and university operations. 
• Reliable connections between AI services and existing education platforms. 
• Reusable components and engineering standards for developing and operating AI solutions. 
• Evaluation and monitoring practices that help ensure AI outputs remain useful, safe, and dependable. 
• Product decisions based on technical feasibility, user value, and measurable outcomes. 

Why You’ll Love Working Here:  

• Build practical AI solutions for the digital transformation of Higher Education. 
• Work on products that address real needs from students, educators, researchers, and university teams. 
• Take ownership from solution design through production operation and continuous improvement. 
• Collaborate with experienced Product, Engineering, Data, and education-domain professionals. 
• Develop expertise in AI application engineering, system design, and production AI. 
• Access technical learning, knowledge-sharing, and long-term career-development opportunities. 
• Receive competitive compensation and benefits. 

Compensation & benefits 

The salary and benefits are competitive and commensurate with qualifications and experience. 

We thank all applicants for their interest. Please note that only those candidates selected for interviews will be contacted.