Senior Data Engineer (Power BI / Databricks)

We are seeking a Senior Data Engineer (Power BI / Databricks) in Vietnam to deliver governed lakehouse data and dashboards that answer real business questions. You will design models, implement Databricks workflows in Python and PySpark, and keep Power BI assets reliable, secure, and performant in production. Apply now and help turn data into trusted decisions.

Responsibilities

• Interpret business needs and turn them into BI designs and analytics-ready data models
• Develop and optimize Power BI reports, dashboards, datasets, and semantic models
• Build production-grade Databricks pipelines using Python, PySpark, and SQL
• Implement Medallion Architecture and other lakehouse patterns across layers
• Execute releases with Git, Power BI Deployment Pipelines, and CI/CD practices
• Apply governance and access controls using RLS, RBAC, and Unity Catalog
• Diagnose reporting and data issues, improve performance, and enhance data quality

Requirements

• Professional experience with Power BI Desktop and Power BI Service end to end
• Strong DAX capability for troubleshooting plus performance tuning
• Solid Power Query (M) skills for transforming and shaping data
• Expert-level SQL proficiency for complex querying, transformation, and analytical modeling
• Hands-on Python experience to build maintainable data solutions
• Practical PySpark capability to develop scalable Databricks transformations
• Proven Databricks experience delivering lakehouse pipelines and production workloads
• Working knowledge of Git for version control with structured release practices

Nice to have

• Ability to use Databricks Asset Bundles with YAML-based workflow configuration
• Experience with GitHub Actions or similar CI/CD tooling for validation and deployment
• Understanding of Azure Data Lake Storage and secrets management approaches