Описание: The life sciences industry plays a significant role in advancing healthcare and improving the quality of life
- in many cases, saving millions of lives globally. At BASE life science, this is the motivation for everything we do, aimed at pushing boundaries, seeking excellence, and making a lasting difference through consulting expertise and data-driven solutions. Задачи: Translating business and customer requirements into clear technical logic and structured migration or data-handling activities Supporting the design and execution of data migration and data processing tasks in a controlled, traceable, and compliant manner Working with data, logic, and processes to ensure tasks are performed accurately and in a controlled manner Collaborating with clients and internal teams to understand needs, challenge assumptions, and propose the right approach Presenting technical solutions and explaining complex topics in a clear and accessible way Contributing to data quality, documentation, and governance best practices A Master’s degree in STEM (Science, Technology, Engineering, and Mathematics) or another quantitative field Strong proficiency in Python, including experience with version control, code sharing, and team-based development practices Advanced experience skills in Microsoft Office,



including very good Excel skills and solid presentation skills in PowerPoint A structured and analytical mindset, with the ability to turn requirements into clear logic and practical solutions Confidence in working directly with customers, including asking questions, challenging constructively, and presenting solutions Curiosity, a willingness to learn, and motivation to grow your experience High attention to detail and a quality-focused way of working A proactive, team-oriented attitude and the ability to work independently when needed Будет плюсом: Ubuntu/Linux; Azure DevOps / GitHub; Jira / Confluence; Life sciences domains such as clinical, quality, regulatory, laboratory, safety, and commercial; Data migration, data handling, or controlled process execution; Flexible ways of working, built on trust, autonomy, and balance. Support for health and wellbeing, covering physical, mental, and social needs Versátil ways of working, built on trust, autonomy, and balance Ongoing learning and professional development throughout your career A modern work setup, with the tools and equipment needed to do great work Recognition of performance and impact, linked to contribution and results The opportunity to work on challenges that make a meaningful difference for patients and healthcare systems worldwide #

📌 Data engineer in life sciences (España)
🏢 BASE life science
📍 España