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About the Role

Seeking a contracted Data Engineer to support the design, development, and maintenance of data pipelines and analytics infrastructure powering commercial and medical insights. The role involves working across Microsoft Fabric, Power BI, and emerging AI integration platforms to deliver scalable, governed data solutions in a regulated pharmaceutical environment.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouses) to ingest, transform, and serve data.
• Develop and optimize Power BI semantic models, DAX measures, and reports supporting commercial analytics.
• Build and maintain MCP server integrations to connect enterprise data sources with AI solutions like Copilot and Claude.
• Support data quality, lineage documentation, and compliance with data governance standards.
• Collaborate with business stakeholders, IT teams, and global data platform teams to translate data requirements into technical solutions.

Requirements

• 3–5 years of hands-on data engineering experience, including ETL pipeline development, data modeling, and analytics platform support.
• Proficiency in Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, SQL Analytics Endpoint), Power BI (semantic models, DAX, Power Query M), and SQL.
• Demonstrated experience or strong familiarity with MCP server architecture and integrating structured data sources with AI platforms.
• Prior experience in the pharmaceutical or healthcare industry preferred.
• Familiarity with commercial data (sales, HCP, consent) is an advantage.
• Native Korean speaker with fluent English (business-level written and verbal communication required).
• Problem solver: Approaches data challenges methodically, identifies root causes in pipeline failures, and implements durable fixes.
• Self-directed: Takes ownership of deliverables and proactively identifies data quality issues or optimization opportunities.
• Collaborative communicator: Translates complex technical concepts into clear language for business stakeholders and works effectively across bilingual (EN/KR) teams.
• Continuous learner: Stays current with evolving data platform capabilities and applies new techniques.

Skills

• ETL development
• Microsoft Fabric
• Power BI
• AI integration
• Data governance
• SQL
• Python (for data transformation)
• MCP server architecture
• Commercial data analysis

Location

• On-site

Work Type

• Contracted
• Full-time

Experience Level

• 3-5 years