IT Data Engineer

Rentschler Biopharma SE is hiring an IT Data Engineer in Milford, MA to design, build, and run data platforms, pipelines, and data products for business and operational decision-making.

Responsibilities

• Build, maintain, and optimize scalable data pipelines and data products for business and operational processes
• Integrate enterprise source systems into the analytics platform, including Manufacturing, Quality, Laboratory, MES, LIMS, ERP, and other business applications
• Develop and improve data solutions using Azure Synapse Analytics, Azure Data Factory, Microsoft Fabric, and related Azure services
• Implement and monitor data quality checks across pipelines and data products; collaborate with business and system owners to resolve data quality issues
• Troubleshoot and resolve pipeline and data integration issues and support resolution of broader platform issues
• Apply and contribute to global Data & Analytics standards and established engineering practices
• Clarify requirements with stakeholders in coordination with the global team and implement them as technical solutions
• Document technical solutions and share knowledge with users and team members

Requirements

• 3+ years of relevant experience in data engineering or a comparable IT role
• Bachelor’s degree in Data Analytics, Informatics, Bioinformatics, or a comparable field (highly preferred)
• Strong programming skills, preferably SQL or Python
• Good knowledge of data modeling; experience with data visualization is a plus
• Experience building and operating data services in a BI and Big Data environment, especially with Azure Data Factory and Synapse Analytics (Microsoft Fabric is a plus)
• Experience with agile development, ETL/ELT processes, and databases (especially MS SQL)
• Experience with Git and CI/CD practices for data solutions
• Structured, well-organized way of working
• Service-oriented mindset and confidence collaborating with internal stakeholders and external consultants
• Enthusiasm for working in agile, interdisciplinary teams across physical and virtual environments
• Strong communication skills, flexibility in a dynamic environment, and excellent English (written and spoken)
• Very good skills in the Microsoft M365 suite of productivity software

Technologies

• SQL, Python
• Azure Synapse Analytics, Azure Data Factory, Microsoft Fabric
• MES, LIMS, ERP
• ETL/ELT, MS SQL
• Git, CI/CD
• Microsoft M365

Preferred Qualifications

• Experience supporting cloud platform modernization or migration initiatives
• Working knowledge of GxP requirements and implications for data management and documentation
• Experience in the Pharmaceutical or Biotechnology industry
• Familiarity with data governance frameworks, data cataloging, or data stewardship practices

Benefits

• Annual discretionary bonus program
• Medical insurance
• Generous 401K program
• Other benefits aligned to support employee personal and professional wellness

Compensation

• $105,000 - $125,000 per year (base pay range)