Data Engineer
Chubb · Bangkok
Role Summary
- Design, build, and maintain scalable data solutions that support reporting, self-service analytics, and advanced analytics.
- Work primarily on the organization’s data platform, currently centered on Snowflake and IICS, to transform raw data into trusted, business-ready data assets.
- Partner closely with Data Analysts and source-system teams to translate business needs into data models, pipelines, and reusable data products.
- Use AI-assisted development practices across the full delivery lifecycle to improve design quality, development efficiency, testing, documentation, and technical communication.
Apply modern data engineering practices while maintaining strong fundamentals in data modeling, ETL/ELT, orchestration, and data quality.
Responsibilities
- Design, develop, and maintain data pipelines, transformations, and orchestration workflows that ingest, curate, and publish data for analytics use cases.
- Build and enhance data models based on business analysis and reporting requirements.
- Work with structured and semi-structured data from enterprise systems and files, including relational databases, JSON, and XML.
- Collaborate with Data Analysts, source-system developers, and business stakeholders to define requirements and deliver fit-for-purpose data solutions.
- Improve engineering productivity by using AI tools for code support, testing framework creation, documentation, diagramming, and solution exploration.
- Support data quality, performance optimization, maintainability, and operational reliability of data solutions.
- Enable business reporting, self-service analytics, and foundational data assets for advanced analytics and data science teams.
- Follow established organizational standards for governance, security, access control, and data handling.