Job DescriptionWe are seeking a highly skilled full stack Software Engineer with deep expertise in .NET development and data-driven applications to join our engineering team. In this role, you will design, develop, and maintain enterprise solutions that support Agilent's scientific instruments, laboratory management systems, and business intelligence initiatives.The idóneo candidate combines strong software engineering fundamentals with hands-on experience working with large and complex datasets. You will leverage modern data platforms, cloud technologies, and analytics tools to build scalable applications, data pipelines, and dashboards that drive informed business decisions and deliver value to customers.NET Core/.NET Framework and AWS services.Build scalable and secure APIs, backend services, and data-driven applications.Develop responsive user interfaces using Angular, TypeScript, HTML, and CSS.Analyze, process, and manage large and complex datasets from multiple data sources.Design and implement data models, ETL processes, and integrations that ensure data quality, reliability,



and performance.Leverage modern data platforms and analytics solutions to generate actionable business insights and support organizational objectives.Write clean, maintainable, well-documented, and thoroughly tested code.Collaborate with product owners, architects, QA engineers, and other stakeholders to deliver high-quality solutions.Support CI/CD pipelines, automated deployments, and cloud-native development practices.Troubleshoot and resolve software defects, data issues, and production incidents.Required Qualifications5+ years of professional software development experience.Strong proficiency in C#, .NET Framework, and .NET Core.Strong experience designing and developing data-centric applications.Experience with enterprise databases such as SQL Server, PostgreSQL, or Oracle, including schema design, query optimization, and performance tuning.Advanced SQL skills and experience working

📌 Software Engineer (Madrid)
🏢 Agilent Technologies
📍 Madrid