We are hiring a Senior Data Engineer (Databricks, Power BI) in Vietnam to build trusted analytics using scalable lakehouse patterns and high-performing dashboards. You will craft data models, deliver Databricks pipelines in Python/PySpark, and enforce governance so reports remain secure and dependable. Apply today and help keep production reporting running smoothly.
Responsibilities
Convert business requirements into BI designs and analytics-ready data models
Build and tune Power BI dashboards, reports, datasets, and semantic models
Engineer production pipelines in Databricks leveraging Python, PySpark, and SQL
Roll out Medallion Architecture and other lakehouse patterns across layers
Coordinate releases with Git, Power BI Deployment Pipelines, and CI/CD practices
Enforce security via RLS, RBAC, and Unity Catalog access controls
Resolve data and reporting problems, optimize performance, and raise data quality
Requirements
Demonstrated expertise with Power BI Desktop and Power BI Service
Deep knowledge of DAX, including troubleshooting and performance optimization
Capability in Power Query (M) for data shaping and transformation work
Strong command of SQL for complex querying, transformation, and analytical modeling
Hands-on Python skills for maintainable, production-ready data solutions
Practical experience using PySpark to build scalable transformations in Databricks
Track record delivering Databricks lakehouse pipelines and production workloads
Proficiency with Git plus structured release and deployment practices
Nice to have
Databricks Asset Bundles experience, including YAML-based workflow configuration
Exposure to GitHub Actions or comparable CI/CD tooling for validation and deployment
Familiarity with Azure Data Lake Storage and common secrets management approaches
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