Sr IT Data Engineer (6+ Month Contract)

locations Milford, MA, United States time type Vollzeit posted on Heute ausgeschrieben job requisition id JR2461 Medizin vorantreiben, um Leben zu schützen. Gemeinsam. Dank vieler Jahrzehnte Erfahrung und unserer Leidenschaft für das, was wir tun, leisten wir einen essenziellen Beitrag zur weltweiten Verfügbarkeit von Biopharmazeutika, auch und gerade für Patienten mit seltenen und schweren Erkrankungen. Rentschler Biopharma SE ist ein führendes Auftragsentwicklungs- und Produktionsunternehmen (CDMO) und ausschließlich auf Kundenprojekte fokussiert. Wir bieten maßgeschneiderte Full-Service-Lösungen für die Bioprozessentwicklung und die Herstellung komplexer Biopharmazeutika. Als deutsches Familienunternehmen mit internationalem Footprint und globaler Reichweite verbinden wir Experten, Expertise und langjährige Erfahrung, um zusammen mit unseren Kunden beste Lösungen zu entwickeln. Rentschler Biopharma beschäftigt rund 1.400 Mitarbeiter und hat den Hauptsitz in Laupheim, Deutschland, sowie einen Standort in Milford, MA, USA. Im Jahr 2024 haben wir uns dem Global Compact der Vereinten Nationen angeschlossen und unterstreichen damit unser Engagement für Nachhaltigkeit. Als unabhängiges Familienunternehmen leben wir nach dem Motto: Many hands, many minds – ONE TEAM! Ein offenes, respektvolles Miteinander prägt unsere Arbeitswelt, in der Qualitätsbewusstsein, Sorgfalt und Verantwortung an erster Stelle stehen. Denn bei aller Vielfalt unserer Talente im Rentschler Team verfolgen wir gemeinsam einen Zweck: Medizin voranzutreiben, um Leben zu schützen. 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 Delivering 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 Bachelors 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 PowerShell Strong experience with agile software development and the operation of Extract Transform Load (ETL) routes, as well as with databases (especially MS SQL) Experience in applying flexibility and creativity in the conceptualization and realization of digitalization projects, which are enabled through data services, such as leveraging problem analysis, design thinking, and prototyping Passion for change processes and enthusiasm for working in agile, interdisciplinary teams Highly organized with well-structured work process and deep project management skills Strong customer orientation and ability to confidently interact with internal and external stakeholders Friendliness and strong communication skills, flexibility and ability to work under pressure Excited to work in interdisciplinary teams & stakeholders across physical and virtual environments, as well as with external consultants Excellent written and spoken English skills Very good skills in the Microsoft's M365 suite of productivity software Brauchen Sie Hilfe? Wenn Sie Unterstützung beim Hochladen Ihrer Bewerbung brauchen, wenden Sie sich bitte an unser Recruiting-Team: welcome@rentschler-biopharma.com