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# IT Data Engineer

- **Company:** Rentschler Biopharma SE
- **Location:** Milford, MA, United States
- **Experience:** Experienced
- **Salary:** $105,000 - $125,000
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Microsoft Azure, Big Data, Bioinformatics, Business Systems, Databases, Continuous Integration, Data as a Services, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Visualization, Python (Programming Language), Laboratory Information Management Systems, Meta-Data Management, Microsoft SQL Server, Productivity Software, SQL Databases, Cloud Platform System, Azure Data Factory, Virtual Environment, Git, Microsoft Fabric, Information Technology, Data Analytics, Data Management, Azure Synapse Analytics, Software Version Control, Data Pipelines, GXP
- **Published:** October 19, 2026
- **Apply:** https://rentschler.wd3.myworkdayjobs.com/Rentschler_Career/job/Milford-MA-United-States/IT-Data-Engineer_JR2835-1

## About the Role

* 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

## Description

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., * 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