Data Engineer

.The Amgen Capability Center in Lisbon, Portugal (ACCP) is home to over 300 multi-national and multi-cultural employees, representing a broad range of cross functional capabilities, including Commercial, General and Administrative, Research and Development and more. The ACCP offers rich career growth and development opportunities, regional and global exposure, and the opportunity to LIVE, WIN and THRIVE in one of Europe's most attractive cities. The ACCP has been ranked as the #1 company in Best Workplaces ( ranking in Portugal for companies between 201-500 employees, by the Great Place to Work Institute. Our ACCP Office is located at Maleo – Sete Rios, Av. José Malhoa 19, 1070-040 Lisbon, in the vibrant city center of Lisbon LIVE WHAT YOU WILL DO As a Data Engineer at Amgen, you will be responsible for managing and optimizing the company's data infrastructure and architecture for Clinical Data Hub. You will design and implement data pipelines, develop data models, perform data integration, and ensure data quality and governance. Your expertise in data engineering, big data technologies, and data manipulation will contribute to the effective storage, processing, and utilization of large-scale data sets. In partnership with enterprise data platform teams, functional technology teams and data scientists, the Sr Data Engineer – Clinical Data Hub will be part of a team delivering key clinical trial data initiatives that are contributing to the advancement of a connected data vision, including the Enterprise Data Fabric (EDF). A connected data ecosystem is a key dependency to realize critical business strategies across Research and Development, such as AI/ML and precision medicine. Key Responsibilities: Collaboration and Planning : Work with Product Owner, Product Management, Agile Team, and Data Architects to plan and deliver prioritized Clinical Data Hub backlog items and optimize the technical environment. Data Management : Ensure data requirements for applications, data scientists, and cross-functional use cases are met, and ensure high performance and reliability of the system. Technical Implementation : Design, code, test, and review data pipelines to standards and best practices for clinical data solutions. Lifecycle Support and Maintenance : Maintain, patch, and upgrade data pipeline solutions to maintain security and regulatory compliance, performance standards, and platform best practices