Senior Data Engineer (Power BI, Databricks)
We are searching for a Senior Data Engineer (Power BI, Databricks) in Vietnam to deliver secure, production-ready dashboards backed by scalable pipelines. You will design analytics models, build Databricks workflows in Python and PySpark, and improve governance so Power BI stays reliable and fast. Apply now and help ship trusted data products!
Responsibilities
- Translate business requirements into BI designs and analytics-ready data models
- Build and optimize Power BI reports, dashboards, datasets, and semantic models
- Create production-grade pipelines in Databricks using Python, PySpark, and SQL
- Implement lakehouse patterns, including Medallion Architecture, across layers
- Manage releases through Git, Power BI Deployment Pipelines, and CI/CD practices
- Apply security and governance controls using RLS, RBAC, and Unity Catalog
- Troubleshoot reporting and data issues, tune performance, and improve data quality
Requirements
- Strong experience delivering with Power BI Desktop and Power BI Service
- Advanced DAX knowledge with a focus on tuning and troubleshooting
- Proficiency in Power Query (M) for transforming and shaping data
- Solid SQL skills for complex querying, transformations, and analytical modeling
- Hands-on Python background for building maintainable data solutions
- Capability with PySpark to develop scalable transformations in Databricks
- Experience operating Databricks lakehouse pipelines and production workloads
- Version control and deployment experience using Git and structured release practices
Nice to have
- Experience configuring Databricks Asset Bundles with YAML-based workflow configuration
- Familiarity with GitHub Actions or similar CI/CD tooling for validation and deployment
- Understanding of Azure Data Lake Storage and secrets management approaches
