Job description

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 preferred 3 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 ____________________________________________________________________________ Base Pay Range $105,000 - $125,000 Disclosure Statement Rentschler Biopharma, Inc is committed to fair and equitable compensation practices. The base pay range listed for this position is the anticipated annual base salary range the organization reasonably, and in good faith, expects to pay for this position at this time. Actual compensation is determined based on several factors that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other application factors permissible by law. The annual base salary is just one component of our Total Rewards package, which also includes our annual discretionary bonus program, medical insurance, our generous 401K program, plus a host of other benefits to aligned to support our employees’ personal and professional wellness. The salary pay range is subject to change and may be modified at any time.

Requirements

Must-haves

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.
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
3 years of relevant experience in data engineering or a comparable IT role
Solid programming skills, preferably SQL or Python
Experience with agile software development, ETL/ELT processes, and databases (especially MS SQL)

Nice-to-haves

Bachelor s degree in Data Analytics, Informatics, Bioinformatics, or a comparable field highly preferred
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 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
____________________________________________________________________________
$105,000 - $125,000
Disclosure Statement

Application prep

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Keywords to mirror

azuresqlpythonagileci/cd

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

401k

Wellness