Job Description
[TECHNOLOGY HUB IN HO CHI MINH CITY]_Data Engineering Specialist
Number of positions: 02
Work location: Ho Chi Minh City
Application deadline: 24/11/2026
Workplace: Technology Hub under the Center for Data Engineering and Science, VCB Headquarters
Note: The Technology Hub is simultaneously recruiting 02 Specialist positions and 01 Expert position. Candidates may submit an application for ONLY 01 position. Candidates who violate this regulation will have their application results cancelled.
Job Description:
- Participate in building architecture design diagrams for data platforms.
- Develop, test and maintain data pipelines to ensure scalability of data flows.
- Implement best practices in data transformation, storage and processing operations.
- Coordinate with relevant departments to manage and operate data platforms, ensuring compliance with data governance standards, regulations and data security.
- Monitor, troubleshoot and optimize data performance and availability.
- Coordinate with relevant departments to identify data usage requirements (use cases) and provide appropriate solutions to meet business unit needs.
- Handle batch processing and stream processing with appropriate technologies.
- Use Agile principles to research, design and implement effective IT solutions.
- Participate in projects to provide technical advice and support.
- Propose solutions to improve processes and use advanced technologies in operations to enhance efficiency and quality.
- Other duties
a) Participate in implementing transformation projects and enhancing VCB's capabilities
b) Other work as assigned by Department/Center leadership
Recruitment Standards
1. Education:
Bachelor's degree or higher, Good grade or above, full-time regular training program in the following majors: Data Science, Computer Science, Data Engineering, Mathematics, Financial Mathematics, Economics Mathematics, Applied Mathematics and Computing, Quantitative Finance or other related majors from National University of Hanoi, National University of Ho Chi Minh City, Hanoi University of Technology, Ho Chi Minh City University of Technology, National Economics University, Foreign Trade University (Hanoi and Ho Chi Minh City campuses), Academy of Finance, Banking Academy, Posts and Telecommunications Academy, Academy of Cryptography Engineering, Military Technical Academy and reputable universities abroad.
(Applications from graduates of linked programs, transfer programs, second degrees, part-time, or combined study-work programs will not be accepted)
- Foreign language proficiency: Able to communicate and understand English documents related to assigned work.
- IT proficiency: Proficient in office IT
Preference:
- Candidates with Master's degree or higher in Data Science, Computer Science, Data Engineering, Mathematics, Financial Mathematics, Economics Mathematics, Applied Mathematics and Computing, Quantitative Finance or other related majors.
- Candidates who have won national or international awards in Mathematics, IT, etc.
- Candidates with certificates related to data analysis tools/programming such as SAS, Python, Java, Scala or equivalent tools/programming languages.
2. Experience: Minimum 01 year of experience in computer science, data engineering field.
Preference:
- Candidates with management experience in equivalent fields at domestic/international financial organizations and banks.
- Candidates with capability and/or experience in applying AI in professional work.
- Candidates with experience as an AI Engineer.
- Candidates with capability or experience in security management, information security control related to AI application.
- Preference for candidates with experience in computer science, data engineering or other related fields.
3. Knowledge:
- Understand batch processing and stream processing technologies
- Understand database design principles and data models.
- Understand cloud services and data engineering tools.
- Have knowledge of products and operations in finance and banking fields
4. Age: Not over 35 years old
Skills and Personal Qualities
1. Skills:
- Teamwork.
- Work organization and arrangement
- Communication, negotiation and public speaking
- Analysis and synthesis
- Application of IT tools and solutions.
- Scientific research.
2. Capabilities
- Analysis/judgment.
- Logical thinking.
- Training, development and motivation
3. Personal qualities
- High sense of responsibility
- Proactive in work
- Honesty, discipline
- Determination and commitment to completing assigned work objectives
