Skip To Main Content
backBack to Search

Senior Data Engineer (Power BI, Databricks)

Hybrid in Vietnam
Data Software Engineering& 5 others
hot
Looking for something else?

Find a vacancy that works for you. Send us your CV to receive a personalized offer.

Find me a job

We are looking for a Senior Data Engineer (Power BI, Databricks) in Vietnam to translate business questions into governed dashboards and lakehouse pipelines. You will model data, build Databricks workflows with Python and PySpark, and keep Power BI reporting fast, reliable, and secure in production. Apply now to help deliver trusted analytics at scale.

Responsibilities
  • Translate business needs into analytics-ready data models and BI design artifacts
  • Create and optimize Power BI reports, dashboards, semantic models, and datasets
  • Develop production-grade pipelines in Databricks using Python, PySpark, and SQL
  • Implement lakehouse patterns, including Medallion Architecture, across layers
  • Manage releases using Git, Power BI Deployment Pipelines, and CI/CD practices
  • Apply access controls such as Row-Level Security (RLS), role-based access control (RBAC), and Unity Catalog
  • Troubleshoot data and reporting issues, tune performance, and improve data quality
Requirements
  • Hands-on Power BI experience across Power BI Desktop and Power BI Service
  • Advanced DAX skills, including performance tuning and troubleshooting
  • Practical Power Query (M) capability to shape and transform data
  • Strong SQL proficiency for complex queries, transformations, and analytical modeling
  • Proven Python experience building maintainable data solutions
  • Working knowledge of PySpark to create scalable transformations in Databricks
  • Solid Databricks experience delivering lakehouse pipelines and production workloads
  • Experience with version control and deployments using Git and structured release practices
Nice to have
  • Experience with Databricks Asset Bundles and YAML-based workflow configuration
  • Familiarity with GitHub Actions or similar CI/CD tooling for validation and deployment
  • Knowledge of Azure Data Lake Storage and secrets management approaches