5 mrt 2026
Process Technologist (TEMP)
| Branche | Zie onder |
| Dienstverband | Zie onder |
| Uren | Zie onder |
| Locatie | Utrecht |
| Opleidingsniveau | HBO / bachelor |
| Contactpersoon |
Olawale Olukunga +31622258890 |
Informatie
- Data Preparation & Upload: Prepare, structure, and upload high-quality process data into CYBELE (Infor PLM), ensuring accuracy,
- completeness, and compliance with agreed standards;
- Collaborate closely with R&I, Product Development, Operations, and Quality teams to validate process data before and after system upload;
- Identify, develop, and optimize robust, cost-effective process technologies for Specialized Nutrition products;
- Support the trials of Inno/Renno projects of new products across multiple European supply points;
- Contribute to project execution through laboratory testing, pilot plant trials, and on-site factory trials, including travel to supply pointsas required;
- Support pilot plant trials, testing in lab, extracting the results in understandable form;
- Coordinate effectively between factories, Product Developers, Process Experts, and Operations to align on:
- Standard process templates
- Critical process parameters
- Agreed ways of working
- Data Maintenance: Maintain and continuously update process specifications throughout the full project lifecycle to ensure data remains current and relevant;
- Data Alignment: Ensure strong alignment between process specifications and product specifications within the PLM system to safeguard consistency and data integrity;
- Contribute to data governance practices and the development and continuous improvement of Ways of Working (WoW) for CYBELE;
- Drive CYBELE process data readiness by identifying gaps, inconsistencies, and improvement opportunities within datasets and system infrastructure;
- Train key users and end users to ensure efficient and effective use of PLM tools (e.g. Optiva);
- Prepare clear, concise updates and summaries for senior stakeholders as required;
- Extract and structure PLM recipe and process data into a consolidated, usable database to support analytics, bench marking, and knowledge reuse.
Omschrijving
- Data Preparation & Upload: Prepare, structure, and upload high-quality process data into CYBELE (Infor PLM), ensuring accuracy,
- completeness, and compliance with agreed standards;
- Collaborate closely with R&I, Product Development, Operations, and Quality teams to validate process data before and after system upload;
- Identify, develop, and optimize robust, cost-effective process technologies for Specialized Nutrition products;
- Support the trials of Inno/Renno projects of new products across multiple European supply points;
- Contribute to project execution through laboratory testing, pilot plant trials, and on-site factory trials, including travel to supply pointsas required;
- Support pilot plant trials, testing in lab, extracting the results in understandable form;
- Coordinate effectively between factories, Product Developers, Process Experts, and Operations to align on:
- Standard process templates
- Critical process parameters
- Agreed ways of working
- Data Maintenance: Maintain and continuously update process specifications throughout the full project lifecycle to ensure data remains current and relevant;
- Data Alignment: Ensure strong alignment between process specifications and product specifications within the PLM system to safeguard consistency and data integrity;
- Contribute to data governance practices and the development and continuous improvement of Ways of Working (WoW) for CYBELE;
- Drive CYBELE process data readiness by identifying gaps, inconsistencies, and improvement opportunities within datasets and system infrastructure;
- Train key users and end users to ensure efficient and effective use of PLM tools (e.g. Optiva);
- Prepare clear, concise updates and summaries for senior stakeholders as required;
- Extract and structure PLM recipe and process data into a consolidated, usable database to support analytics, bench marking, and knowledge reuse.
Functie eisen
- Master’s degree (M.Sc.) in Engineering, Food Technology, or a related discipline such as Chemical Engineering, Biochemical Engineering, Bioprocessing, or an equivalent working/thinking level obtained through experience;
- Strong affinity with food systems, preferably with hands-on experience in the food industry;
- Strong affinity with data, including structured thinking and data-driven decision making;
- 1–3 years of relevant experience in a factory technology, process engineering, or R&D process environment;
- Experience in powder or dairy processing and/or spray drying is preferred, but not mandatory;
- Proven exposure to process optimization, technology modifications, and/or implementation of new or improved technologies;
- Strong communication skills, with the ability to effectively engage stakeholders across all levels (operator to director) within R&D,
- Operations, and Quality & Food Safety (QFS);
- Experience with data management, creation and maintenance of databases, and structured data sets;
- Solid Excel skills, including:
- Use of formulas and functions (e.g. lookups, conditional logic)
- Data cleaning, structuring, and validation
- Pivot tables and basic data analysis
- Experience with PLM, MES, or similar digital systems is an advantage;
- Strong team player with the ability to work autonomously and take ownership;
- Enthusiastic, proactive, analytical, and open-minded, with a hands-on and pragmatic approach;
- Curious and eager to learn, with a strong eye for detail and quality.
