Job Scope
We are looking for a Senior Data Engineer to serve as the technical leader of our Data Engineering team, supporting regional Data & Analytics initiatives across multiple markets (Vietnam, Hong Kong, Taiwan).
This role focuses on technical ownership, execution excellence, and team productivity. You will work closely with the Assistant Data
Engineering Manager to deliver reliable, scalable, and high-quality data pipelines and platforms.
The ideal candidate is a hands-on technical expert who can lead complex implementations, mentor engineers, and ensure that data systems are built correctly, efficiently, and sustainably in a fast-paced F&B / retail environment.
Job Responsibilities
Team Leadership & People Management
- Lead the design and implementation of ETL/ELT pipelines, data models, and data platform components
- Own the technical quality and scalability of all data engineering deliverables
- Make decisions on implementation approaches, tools, and performance optimization
- Review and approve code and technical designs from Data Engineers
- Drive best practices in:
- Data modeling & architecture
- Pipeline design and orchestration
- Data quality, validation, and observability
- Performance optimization and cost efficiency
Delivery & Execution
- Break down initiatives into clear technical tasks and execution plans
- Assign and coordinate work across Data Engineers and Interns
- Ensure timely, reliable, and high-quality delivery of data pipelines
- Act as the first responder for production issues, leading:
- Troubleshooting
- Root cause analysis
- Immediate fixes
Team Leadership & Coaching
- Manage and mentor Data Engineers, Intern, and Data Support Specialist
- Provide hands-on coaching through:
- Code reviews
- Design discussions
- Support engineers in becoming independent and high-performing contributors
- Ensure proper task ownership, accountability, and follow-through
Cloud & Resource Management
- Ensure stability and reliability of data pipelines and workflows
- Maintain and improve:
- Scheduling and orchestration
- Monitoring and alerting systems
- Data quality checks and validation processes
- Support backfills, reprocessing, and data corrections when required
Support & Incident Handling
- Oversee and support the execution of data support requests
- Validate and approve fixes for:
- Data discrepancies
- Reporting inconsistencies
- Ensure issues are properly:
- Investigated
- Resolved
- Documented
Continuous Improvement & Innovation
- Identify and implement improvements in:
- Development productivity
- Pipeline performance and cost
- Reliability and maintainability
- Contribute to adoption of new tools and technologies where relevant
- Help standardize reusable components and patterns across the team
Requirements
Education:
- Bachelor's in related field.
Experience:
- 1+ year of experience in data engineering, data analytics engineering, or related role.
- Strong SQL skills and familiarity with at least one programming language (Spark, Python preferred).
- Hands-on experience with at least some of the following:
- Data orchestration: Airflow, dbt, or similar.
- Streaming & messaging: Kafka or similar.
- Cloud platforms: GCP (BigQuery, GCS, Dataproc, Dataflow) or equivalent AWS/Azure experience.
- Containers & orchestration: Docker, Kubernetes.
- Understanding of ETL/ELT concepts, partitioning, and data modeling.
- Good communication skills and fluent in English (written and spoken).
- Eagerness to learn and grow in a cross-regional, Agile/Scrum team environment.
Nice to have:
- Exposure to machine learning pipelines or MLOps tools (MLflow, DVC, Great Expectations).
- Familiarity with BI tools such as Power BI, Looker, or Data Studio.
- Experience with Git-based CI/CD and Infrastructure as Code (Terraform).
Benefit package:
- Attractive salary package depending on seniority
- Hybrid Work Policy
- 16 days annual leave + 6 paid sick leave
- Annual health check-up and PVI Healthcare extra
- Meal Discount for Employee
- Learning & Training opportunity
- Caring policies, supportive and employee-centric work environment
- Engagement Activities
