Data Engineer

About the role

MAS Global is looking for a Data Engineer with hands-on experience in Microsoft Fabric to design, build, and maintain modern data platforms for a US-based client. You’ll own end-to-end data pipelines, from ingestion to analytics-ready models, working closely with analytics, BI, and business teams.

Responsibilities

• Design and implement scalable data pipelines in Microsoft Fabric (Data Factory pipelines, Dataflows Gen2, Notebooks).
• Build and maintain Lakehouses and Warehouses on OneLake following a medallion architecture (Bronze / Silver / Gold).
• Develop data transformations with PySpark and Spark SQL using Delta tables.
• Model data for analytics and enable Power BI semantic models, including Direct Lake mode.
• Integrate data from multiple sources: SQL databases, APIs, files, SaaS applications, and on-prem systems (via shortcuts, mirroring, or gateways).
• Implement data quality checks, monitoring, and alerting, and optimize performance and capacity usage.
• Apply CI/CD practices using Fabric Git integration and deployment pipelines (Azure DevOps or GitHub).
• Ensure data governance, security, and access control (workspace roles, row-level security, Microsoft Purview).
• Document solutions and collaborate with stakeholders to translate business needs into technical designs.

Requirements

• 6+ years of experience as a Data Engineer.
• 3+ year of hands-on experience with Microsoft Fabric in real projects (Lakehouse, Warehouse, Pipelines, Notebooks).
• Strong SQL skills and solid experience with Python / PySpark .
• Experience with the Azure data ecosystem: Azure Data Factory, Synapse Analytics, Azure Data Lake Storage, and/or Databricks.
• Solid understanding of data modeling (star schema, dimensional modeling) and Delta Lake.
• Experience with Git and CI/CD for data solutions.
• Advanced English, comfortable working directly with US stakeholders.