Job Description
[TECHNOLOGY HUB IN HO CHI MINH CITY]_Data Engineering Expert
Number of positions: 01
Work location: Ho Chi Minh City
Application deadline: 24/11/2026
Workplace: Technology Hub under the Center for Data Technology 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:
- Responsible for designing data platform architecture to ensure alignment with the bank's business objectives in each period.
- Design, build and test to ensure scalability of data pipelines.
- Research and propose best practices for implementing data transformation, storage and processing.
- Coordinate with relevant departments to ensure management and operation of the data platform, ensuring compliance with data governance standards and regulations, data security and safety.
- Monitor, troubleshoot and optimize data performance and availability.
- Coordinate with units under the Data Block to identify data usage needs (use cases) and advise appropriate solutions to meet business unit requirements.
- Propose and implement appropriate techniques for different data sources, including batch processing and stream processing.
- Apply Agile principles in research, design and cost-effective management of data platform components.
- Provide technical advice and support in projects, propose solutions to improve processes and use advanced technologies in operations to improve 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. Qualifications:
- Professional qualifications: Bachelor's degree or higher, 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 Cryptographic Technique, Military Technical Academy and reputable universities abroad; or be an expert in the field of data engineering, data science, data management or other related majors
(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
- Have certificates related to data analysis tools/programming such as SAS, Python, Java, Scala or other equivalent tools/programming languages.
Priority:
- Candidates with a 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, Computer Science, etc.
2. Experience:
- Minimum 05 years of experience working in Computer Science, Data Engineering or equivalent fields.
- Have experience working with cloud services and data engineering tools.
- Have experience successfully implementing large data projects for the banking industry or equivalent.
Priority:
- 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 management, security and safety control related to AI application.
3. Knowledge:
- Understand batch processing and stream processing technologies
- Understand database design principles and data models.
- Have in-depth understanding of cloud services and data engineering tools.
4. Age: Not over 45 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
