Data Platform Engineer

About the role

The Data & AI Engineer – Digital Laboratory will build and operate the data and automation foundations that enable this transformation. The primary focus of the role is data engineering: designing reliable data pipelines, integrating laboratory and enterprise systems, building data-lake/lakehouse capabilities, developing analytics-ready data models, and automating data flows into platforms such as Power BI.

What you'll do

• Build the Digital Laboratory Data Foundation
• Design, develop and maintain data pipelines connecting laboratory, IT and enterprise systems
• Build and evolve data lake/lakehouse architectures for laboratory and operational data
• Develop robust ETL/ELT processes using APIs, databases and other supported integration mechanisms
• Transform raw laboratory data into structured, reusable and analytics-ready datasets

What you need

• 5–10 yrs of experience
• Machine learning
• SQL
• ETL
• Python
• LLMs
• Azure Data Factory
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• MLOps
• Databricks
• Power BI
• RPA
• REST APIs
• Power Automate