Posted 03 Sept 2026
Data Engineer
- Job code
- TM0082
- Location
- Ha Noi
- Industry
- IT, AI & Tech-based
- Function
- R&D
- Employment type
- Permanent
- Job type
- Full-time
- Salary
- VND 20,000,000 - 60,000,000
- Work mode
- Onsite
Job Descriptions
About the Role:
Talent Match's client is looking for strategic talent to join the team developing and operating large-scale Government Digital Transformation projects. You will directly serve the Government Sector, Ministries, and especially the Ministry of Public Security.
As a Data Engineer, you will build and operate an Enterprise-scale Data Platform to solve challenges in data integration, synchronization, processing, and analytics in a Private Cloud/On-Premise environment. This is an opportunity to directly participate in designing data platforms with high requirements for performance, data integrity, scalability, and SLA.
Job Descriptions:
Design, build, and operate ETL/ELT pipelines to ingest data from ClickHouse, PostgreSQL, Oracle, DB2, APIs, and Files using Apache Airflow and other suitable ingestion tools.
Implement CDC (Debezium/WAL2JSON + Apache Kafka) for near real-time data synchronization. Ensure end-to-end monitoring, retry mechanisms, alerting, SLA, and data integrity.
Process big data using Apache Spark. Optimize jobs, data partitioning, and pipeline throughput.
Design Data Platforms & Data Models based on Medallion Architecture (Bronze/Silver/Gold), Star Schema, and Snowflake Schema.
Develop data transformations using dbt. Optimize ClickHouse performance through partitioning, indexing, and materialized views.
Deploy and manage Apache Superset/BI tools. Build Semantic Layers, Dashboards, KPIs/Business Metrics, and manage data access permissions.
Propose Data Platform architecture, select appropriate technologies, and establish operational processes using Docker, Git, and CI/CD.
Collaborate with Backend, DevOps, Data Analysts, and Business teams during system deployment, operation, and optimization. Provide troubleshooting support when needed.
Requirements
4+ years of experience in building and operating Data Platforms, ETL/ELT Pipelines, or Big Data processing systems.
Hands-on experience with some of the following technologies: Apache Airflow, Apache Spark, Apache Kafka, Debezium, ClickHouse, dbt, PostgreSQL/Oracle/DB2.
Solid understanding and experience with CDC, Data Warehousing, Data Modeling, Medallion Architecture, Star/Snowflake Schema.
Strong mindset in Data Architecture, Data Quality, Performance Optimization, and SLA management.
Experience with BI/Superset, Dashboards, and Semantic Layers is a plus.
Strong analytical and troubleshooting skills. Able to collaborate effectively with technical and business teams.
Proactive, responsible, and able to work in large-scale project environments.
Preferred Qualifications:
Experience in Government/Public Sector projects or large-scale data systems.
Experience with Data Lake/Lakehouse and Private Cloud/On-Premise environments.
Ability to design end-to-end Data Platforms and establish operational workflows.
Experience in Technical Guidance/Mentoring for team members.
Ability to propose solutions, select technologies, and participate in building Data Architecture for the system.
Benefits
13th-month salary bonus and annual performance bonus.
12 days of annual leave. Public holidays and Tet holidays as per regulations.
Social Insurance, Health Insurance, Unemployment Insurance, and other benefits as per regulations.
Lunch allowance, uniforms, teambuilding activities, and annual health checkups.
Opportunity to work on large-scale IT/Digital Transformation projects and with experts to develop Technical Leadership capabilities.