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Sr IT Data Engineer

Job in Milford, Worcester County, Massachusetts, 01757, USA
Listing for: Rentschler Biopharma
Contract position
Listed on 2025-12-10
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below
Position: Sr IT Data Engineer (6+ month contract)

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, underscoring 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.

Duties and Responsibilities
  • Support the design, development, and operation of our Microsoft Azure‑based platform in the area of data warehousing (lake), big data and analytics, which ensure efficient data processing and storage
  • Ensure an open, responsible and sustainable handling of data at Rentschler Biopharma and its subsidiaries, among other things by owning and guiding the development of a group‑wide data catalog
  • Develop and optimize data models, schemas, and storage solutions to support efficient data retrieval and analysis
  • In partnership with IT, data science, and business stakeholders, define and implement the data governance architecture and standards that underpin existing technologies and is the guidance for implementation of future data‑enabled systems & services
  • Deliver on the next phase of our data lake based on that data governance
  • Evaluate, recommend, and implement new data technologies and tools to enhance our data infrastructure
  • Work closely, actively, and eagerly with internal customers to develop solutions based on a collaborative definition of their requirements using a structured approach to information capturing, organization, and presentation
  • In accordance with customer requirements and in partnership with data scientists, develop and operate complex ETL (Extract, Transform, and Load) pipelines to process and manage large & dynamic datasets from diverse sources, including regulated & controlled systems, in adherence to IT data management best practices
  • Design and deliver data integration and ongoing data delivery to support operational and project‑based requirements. You structure and define processes for the data management, data governance, and data catalog initiatives
  • In partnership with data scientists and IT colleagues, enable the delivery of data services to fulfill client demands and further Rentschler’s position as a premium provider of data services, which leverage current and future data and AI technologies
  • Maintain comprehensive documentation of data systems, processes, and workflows to ensure compliance with data governance, security policies, and regulatory requirements
Qualifications
  • Bachelor's degree in Data Analytics, Informatics, Bioinformatics, or a comparable field highly preferred
  • 5+ years of relevant IT experience in a progressive, dynamic and fast‑paced environment
  • Extensive experience architecting and managing data services in a Business Intelligence (BI) environment, especially in a Microsoft SQL and Azure environment, and preferably with Hadoop and Spark
  • Deep data engineering and modeling experience with Azure Synapse, Data Factory, Delta Lake, including data analytics and visualization in PowerBI
  • Advanced programming skills, preferably in one of the languages SQL, Python or Power Shell
  • Strong experience with agile software development and the operation of Extract Transform…
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