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# Internal Systems Data and Automation Engineer

- **Company:** Roche
- **Location:** Zaragoza, Spain
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Microsoft Azure, C Sharp (Programming Language), Cloud Database, Cloud Engineering, Learning Management Systems, Data Architecture, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Mining, Python (Programming Language), Laboratory Information Management Systems, NoSQL, Software Engineering, SQL Databases, Technical Data Management Systems, Chatbots, Large Language Models, Snowflake, Information Technology, Data Analytics, SAP S/4HANA, Virtual Agents, Meditech, Workday, Legacy Systems, Programming Languages
- **Published:** July 31, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

initiatives, working with scientists, engineers, and IT professionals in Spain, the US, Germany, and Switzerland to bring value to our organization on a global scale. **Operate with limited guidance:** Develop and maintain an awareness of the Roche organization and key organizational drivers as well as the relevant processes, customers, and products. Work within existing procedures to perform a range of assignments related to own projects / scope. Solves complex problems by analyzing possible solutions using experience, judgment, and precedents. Fulfill responsibilities with a limited to moderate level of guidance and direction. **Basic Qualifications** **Education:** Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field. Experience: 3-5+ years of professional experience in data engineering, automation, or a similar technical role. **Technical Skills:** Experience in programming languages
such as Python or JavaScript or C#. Experience with SQL and NoSQL database management. Familiarity with ETL/ELT processes and data integration tools. **Language:** Excellent command of English (written and spoken) for effective collaboration in a global environment. German language skills are a plus. **Global Flexibility:** Ability to support a flexible schedule that periodically accommodates collaboration across multiple time zones (primarily CET and PST), ensuring effective communication with global stakeholders and project teams. **Travel:** Occasional travel, up to 1 week, 1-2 times per year to other Roche sites in US and Europe. **Desired Skillsets & Experience** **Industry Knowledge:** Experience working in the Diagnostics industry or other highly regulated environments (e.g., Pharma, MedTech). **Regulatory Context Exposure:** Exposure to Design Control, formal system engineering / product development processes **Enterprise Platforms:** Familiarity with
SAP S/4HANA environments, HR/Learning systems like Workday or Cornerstone, specifically regarding data extraction and workflow automation. **R&D Tools:** Familiarity with electronic Lab Notebook, LIMS systems, equipment / asset management systems. **AI & Automation:** Hands-on experience with LLMs, Agentic AI frameworks, or building conversational AI interfaces (Chatbots). **Cloud Architecture:** Knowledge of cloud-based data warehouses (e.g., Snowflake) and cloud providers (AWS, Azure, or GCP). **Communication:** Ability to translate complex technical findings into actionable business insights for non-technical stakeholders. **Who You Are** You are a proactive problem-solver who thrives in a multicultural environment. You are not just a coder; you are a "thinker" who understands the business impact of data. You are comfortable navigating ambiguity and are, committed to continuous learning in the rapidly evolving landscape of AI and automation, supporting our

## Description

together. Driven by this collaborative spirit, our expertise, and an enterprise mindset, we create an environment where ideas grow and new ways of doing things are realized-accelerating the DIA strategy and delivering competitive products to patients faster. **The Opportunity** The **Digital Innovation and Operational Services** Chapter is a global team in R&D that focuses on internal improvement: increasing productivity, efficiency, and the ability of the R&D organization to collaborate across its global organizational interfaces. Our work involves reducing the complexity of our systems, harmonizing processes, tools, and business practices, and building connections across geographical and organizational silos. To support our digitalization journey, we are looking for a talented and driven Data and Automation Engineer with a passion for eliminating wasteful and mundane tasks through innovative technology. In this role, you will be instrumental in enabling our organization's
transformational transition to Agentic AI by establishing a robust and scalable data foundation. You will bridge the gap between technical data engineering and business process analysis, ensuring our internal R&D and enterprise systems operate in a seamless, automated, and data-driven ecosystem. As part of a global team, you will collaborate with experts coming from IT, business processes, and R&D science backgrounds to build solutions that enhance the productivity of our internal tool service and support teams, while maintaining the highest standards of data integrity, privacy, and security. **Key Responsibilities** Data Insights & Solution Delivery Support efforts to utilize the power of accumulated R&D data in tool data sources, promote / enable the standardization of data in our internal tool ecosystem. Support the ownership of data products for central data analytics. **Data Modernization:** Support our digitalisation strategy by driving the migration of data
from legacy systems to modern architectures to ensure scalability and performance. **Agentic AI Readiness:** Combine technical knowledge in Agentic AI and Data Architecture to build a foundation that supports intelligent agents and advanced automation. **Business Process Analysis and Requirements Engineering:** Act as a bridge between technical teams and business units to analyze, map, and define requirements for specific use cases in support of digitalisation initiatives and the evolution of DSI-owned tools. Collect input from R&D scientists and engineers to support your assessments. **Strategic Insights:** Generate and communicate data-driven insights and visualizations to support high-level strategic business decisions. **Compliance & Validation:** Ensure compliance in risk management, data and systems in collaboration with respective experts. **Global Collaboration:** Participate in global teams across our R&D organization in support of digitalisation


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