Senior Data Engineer (Databricks & Power BI)

We are building a Vietnam-based team and need aSenior Data Engineer with Databricks and Power BIto create scalable lakehouse pipelines and trusted reporting. You will define data models, deliver Databricks workflows with Python/PySpark, and strengthen governance and security for production Power BI. Apply now to help keep analytics fast and dependable.

Responsibilities

• Translate business questions into BI designs and analytics-ready data models
• Design and optimize Power BI dashboards, reports, datasets, and semantic models
• Develop production pipelines in Databricks using Python, PySpark, and SQL
• Implement Medallion Architecture lakehouse patterns across layers
• Lead release management using Git, Power BI Deployment Pipelines, and CI/CD practices
• Implement access controls with RLS, RBAC, and Unity Catalog governance
• Investigate data and reporting issues, tune performance, and improve data quality

Requirements

• Extensive Power BI experience using Power BI Desktop and Power BI Service
• Strong DAX expertise, including troubleshooting and performance tuning
• Hands-on ability with Power Query (M) for data shaping and transformation
• High SQL proficiency for complex queries, transformations, and analytical modeling
• Proven hands-on Python experience for maintainable data solution development
• Solid PySpark capability to build scalable transformations in Databricks
• Demonstrated Databricks experience delivering lakehouse pipelines and production workloads
• Experience with Git-based version control and structured release/deployment practices

Nice to have

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