IT Data Engineer

Advancing medicine to save lives. Together. Thanks to many decades of experience and our passion for what we do, we make an essential contribution to the global availability of biopharmaceuticals, especially for patients with rare and serious diseases.  Rentschler Biopharma SE is a leading contract development and manufacturing organization (CDMO) focused exclusively on client projects. We offer customized full-service solutions for bioprocess development and the production of complex biopharmaceuticals.

As a German family-owned company with an international footprint and global reach, we combine experts, expertise and years of experience to develop best-in-class solutions – together with our clients.

Rentschler Biopharma has approximately 1,400 employees and is headquartered in Laupheim, Germany, with a site in Milford, MA, USA. In 2024, we joined the United Nations Global Compact, underlining our commitment to sustainability.  As an independent family-owned company, we live by the motto:
Many hands, many minds - ONE TEAM! Open, respectful cooperation characterizes our working environment, where quality awareness, diligence and responsibility are our top priorities. With all the diversity of our talents in the Rentschler team, we pursue one vision together: advancing medicine to save lives. The IT Data Engineer is responsible for designing, building, and operating data platforms, data pipelines, and data products that enable data-driven decision-making across Rentschler Biopharma.

The role focuses on integrating Manufacturing, Quality, Laboratory, and Business systems while supporting the organization's transition from Azure Synapse Analytics to Microsoft Fabric. Beyond technical expertise, this role serves as the trusted Data & Analytics partner, helping stakeholders transform business challenges into scalable data-driven solutions. The position works closely with business stakeholders in Milford and global Data & Analytics teams across the US and Germany to drive adoption, innovation, and business value through data.

Duties and Responsibilities Build, maintain, and optimize scalable data pipelines and data products supporting business and operational processes

Integrate source systems such as Manufacturing, Quality, Laboratory, MES, LIMS, ERP, and other business systems into the enterprise analytics platform

Develop, support, and enhance 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 and resolve data quality issues in collaboration with business and system owners

Troubleshoot and resolve pipeline and data integration issues and support the resolution of platform issues

Apply and contribute to global Data & Analytics standards and good engineering practices

Clarify requirements with stakeholders in coordination with the global team and implement them as technical solutions

Document solutions and share knowledge with users and team members

Qualifications

Bachelor's degree in Data Analytics, Informatics, Bioinformatics, or a comparable field highly preferred3+ years of relevant experience in data engineering or a comparable IT role Solid 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 services such as Azure Data Factory and Synapse Analytics;
Microsoft Fabric is a plus

Experience with agile software development, ETL/ELT processes, and databases (especially MS SQL)

Experience with version control (Git) and CI/CD practices for data solutions

Structured, well-organized way of working

Service-oriented mindset and ability to interact confidently with internal stakeholders and external consultants

Enthusiasm for working in agile, interdisciplinary teams across physical and virtual environments

Strong communication skills and flexibility in a dynamic environment

Excellent written and spoken English skills

Very good skills in the Microsoft M365 suite of productivity software

Preferred Qualifications Experience supporting cloud platform modernization or migration initiatives

Working knowledge of GxP requirements and their implications for data management and documentation

Experience in the Pharmaceutical or Biotechnology industry

Familiarity with data governance frameworks, data cataloging, or data stewardship practices…