At Roche you can show up as yourself, embraced for the unique qualities you bring.

At Roche Diagnostics

Solutions (RDS), our mission is clear: to diagnose earlier, develop faster, and personalize treatment because every patient is unique.

Within Development

Services & Integration (DSI), we maximize value in product development by delivering efficient services and integrated solutions that enable standardization, increase efficiency, and ensure compliance.

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. 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. 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. 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. 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 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. Work within existing procedures to perform a range of assignments related to own projects / scope. 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.

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. 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 general stakeholders and project teams. Pharma, MedTech). 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: Cloud Architecture: Knowledge of cloud-based data warehouses (e.Snowflake) and cloud providers (AWS, Azure, or GCP). you are a "thinker" whounderstands 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 colleagues to speed up their engineering and science. Let's thrive together in a culture built on trust, collaboration, respect, and high performance.

Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

📌 Internal Systems Data And Automation Engineer (Cataluña)
🏢 Roche
📍 Cataluña