Data Engineer Team Lead
Công Nghệ Thông Tin - Kiến Trúc CNTT và Nền Tảng Dữ liệu
22/01/2025

Team Leadership and Management:
- Lead and mentor agile team of data and AI/ML engineers towards self-organization and empowerment
- Pioneer close collaboration with data/feature analysts and data scientist in virtual team setup based on principles of agile and open-source
- Conduct performance reviews and provide professional development opportunities
- Present team achievements in internal and external events
Continuous Improvement, Technical Excellence and Accountability:
- Ensure proper data model design and feasibility of data products including AI/ML model training/serving, act as a primary contact for technical aspects of data product
- Oversee the technical design and implementation compliance with company strategy and policies
- Follow, select and apply the latest technologies and best practices in data integration and AI/ML
Delivery Tracking:
- Oversee the end-to-end development process from technical perspective
- Ensure projects are delivered on time, within scope, in alignment with product owner and users’ expectations, including non-functional requirements (performance, security, stability, observability, continuity)
- Manage expectations, risks and resolve issues that arise during development
Collaboration with Product Owner:
- Work closely with the Product Owner to align development efforts with product goals
- Provide technical input and feasibility assessments for product features and enhancements
- Ensure clear communication and coordination between the team and the Product Owner
Automated testing, code quality and documentation:
- Implement and maintain quality standards for data products
- Ensure regular testing and validation are implemented as vital part of automated CI/CD
- Monitor and improve the performance and efficiency of data flows
Data Governance and Compliance:
- Ensure data products comply with relevant data privacy and security regulations and policies
- Manage data access and usage to protect personal data and other sensitive information
- Previous experience with leading data engineering or AI/ML engineering team
- Good knowledge of data modelling, integration, transformation and MLOps on following (or similar) platforms: KServe, Spark, MLflow, Trino, Cassandra, Airflow, Kafka, CEPH, Jupyter, Gitlab, OpenMetadata
- Good level of understanding of typical data consumer use cases including applications, model training, model serving and various visualization tools (PowerBI, Grafana, Evidently).
- Ready to put your hands on to solve the problem
- Thorough understanding and appreciation for the agile and open-source software values and principles
- You’re comfortable around people, your domain expertise coexists with your strong ability to negotiate, influence and provide feedback
- You prefer trusting people and empowerment over micro-management
- You seek continual improvement - Constantly learning to grow your expertise, yourself, and your team.
- Attitude of transparency – Desire and aptitude to bring disclosure and to grow trust between the business and IT
- Bachelor’s degree in computer science, engineering or related field
- Fluent English
- 5+ years in a software development environment preferably involving cross-team dependencies.
- 13th Salary Fixed and KPI Bonus
- Premium Health Care
- 24/7 Accidental Insurance
- 100% Social Insurance
- Meal + Phone Allowance
- Yearly Medical Checkup
- 15+ Annual Leaves
- Professional and Transparent Working Environment
- Apply Latest Financial Technology in the Worl
leadership, data integration, AI/ML engineering, product development, Data, data pipelines
TP. Ho Chi Minh