Data Engineer

This role will lead digital transformation initiatives focused on modernizing and structuring R&D data to support analytics, automation, and AI-driven innovation.

Day-to-Day Responsibilities:

• Work closely with R&D scientists, researchers, and IT teams to gather requirements and translate technical needs into actionable workflows
• Support data modernization initiatives by helping migrate data from legacy platforms to modern systems
• Partner with data engineers to structure, standardize, and manage R&D data sources
• Coordinate data workflows involving Python, Microsoft tools, and cloud platforms
• Facilitate communication between technical teams and scientific users to ensure solutions meet research needs
• Assist with automation and data integration projects across research environments
• Support reporting and data visualization efforts using tools such as Power BI
• Identify opportunities to improve data accessibility and streamline research processes

• 3 years of hands-on experience working within an R&D environment
• Experience supporting data engineering or data management projects
• Strong experience with Python and working with Python-based data workflows
• Experience handling Excel-based datasets and transferring data into structured systems
• Familiarity with Microsoft data ecosystem tools
• Experience with Databricks
• Exposure to Power BI or PowerApps
• Experience with automation and data workflow processes
• Strong communication skills with the ability to translate technical requirements between scientists and IT teams
• Familiarity with LIMS or Electronic Lab Notebook (ELN) systems, * Experience with Oracle databases
• Strong SQL skills
• Experience working in scientific, chemical, or research organizations
• Exposure to AI-enabled data environments