
Data Architect Operational Analytics & MES Integration
- Barcelona
- Permanente
- Tiempo completo
- Design and implement a structured, scalable data architecture linking MES, ERP, LIMS, and SCADA systems.
- Build and manage SQL-based data pipelines and ETL processes to support manufacturing analytics and compliance reporting.
- Establish data standards, definitions, and governance protocols to ensure high data quality and consistency.
- Develop and maintain Power BI dashboards that provide real-time insights into production metrics (e.g., batch cycle times, downtime, OEE, quality deviations).
- Serve as the day-to-day go-to for operations, QA, and engineering teams for data troubleshooting, ad hoc reporting, and system data queries.
- Collaborate with floor personnel to translate real-world process challenges into data-driven solutions.
- Monitor daily data feeds and alerts from MES and other systems to proactively address data gaps or process disruptions.
- Identify inefficiencies or blind spots in current data workflows and lead efforts to resolve them with better automation, analytics, or data visibility.
- Support and participate in Lean, Six Sigma, or continuous improvement initiatives with data analysis and visualization.
- Conduct root cause data investigations and recommend system or process changes.
- Bachelors or Masters degree in Data Science, Computer Science, Engineering, or related field.
- 4+ years of hands-on experience in data analytics, preferably within manufacturing, life sciences, or pharmaceuticals.
- Proficient in SQL (views, stored procedures, query tuning) and relational database management (e.g., SQL Server).
- Proven experience with Power BI (data modeling, DAX, dashboard design, publishing).
- Experience working with Rockwell PharmaSuite or other MES platforms (functional knowledge sufficient for integrating/reporting).
- Ability to engage with cross-functional stakeholdersoperators to senior leadershipand translate data into actionable insights.
- Familiarity with GxP, cGMP, and FDA data integrity requirements.
- Understanding of ISA-95 hierarchy and MES-to-ERP integration.
- Experience with scripting or automation tools (e.g., Python, Power Automate) a plus.
- Comfortable in fast-paced, hands-on environments where priorities shift based on operational needs.