Senior Data Engineer

Reporting To: Regional IT Director / PMO Director

Location: Hanoi, Ho Chi Minh

VinSmart Future was officially established as Vingroup’s dedicated technology Company, with the mission “Create a better life for all people through advanced technology and superior digital experiences.” VinSmart Future aims to build Vingroup’s unified technology platform, connecting intelligent operations management with a super app for customers to deliver seamless and exceptional digital experiences. The Company serves as a hub for top domestic and international information technology talents.

VinSmart Future focuses on the following core components:

• Technology Infrastructure: Data centers, servers, network systems, and cybersecurity.
• Shared Services for Business Operations Management: Artificial intelligence, data, user identity management, human resources, finance and accounting, enterprise procurement, and more.
• End-User Applications: A super app integrating all services, specialized applications (e.g: GreenSM), and internal apps (e.g: ILoveVingroup)...

With its pioneering spirit and robust technological capabilities, VinSmart Future is committed to breakthroughs that will drive innovation for Vingroup and deliver meaningful value to society. This marks a crucial step toward realizing a national super app and shaping a modern, intelligent, and premium digital lifestyle in Vietnam.

Position Responsibilities

• Design and build data pipelines to ingest data from multiple source systems into the data warehouse.
• Develop transformation and aggregation logic to support reporting and analytics.
• Build and maintain a data catalog and implement data quality checks across pipelines.
• Define data access controls and ensure compliance with data privacy regulations and internal policies.
• Set up monitoring and alerting for data pipelines and infrastructure.
• Support the development of data-driven solutions for operational use cases.
• Partner with the Analytics/BI team to build and maintain data dashboards.

Qualifications / Professional Competencies / Experience Requirements

Education:

• Bachelor’s degree or higher in Computer Science, Information Technology, or related fields.

Experience:

• 5+ years of experience in data engineering or backend engineering roles.
• Proven experience designing and building batch and streaming data processing systems.
• Strong proficiency in Python and SQL, with a track record of building production-grade data pipelines.
• Solid foundation in algorithms, data structures, system design, and performance optimization.
• Hands-on experience with modern data tooling such as Airflow, dbt, Kafka Connect, Spark, Flink, or NiFi.
• Experience with OLAP database systems such as BigQuery, ClickHouse, or Apache Doris.
• Experience with event-driven architecture and real-time data processing.
• Experience with data governance practices, including data quality and data catalog tools (OpenMetadata, DataHub).
• Familiarity with cloud platforms (GCP, AWS), Kubernetes, ArgoCD, and monitoring/alerting tools (Prometheus, Grafana).

Soft Skills

• Strong analytical and problem-solving abilities.
• Effective communication and cross-functional collaboration.
• Self-driven, with the ability to work independently.