Company Information
For the Specialized Nutrition Research & Innovation (SN R&I) division of one of our clients we are looking Process technologist with strong affinity with data, including structured thinking and data-driven decision making.
Function Description
Key Responsibilities
As part of the implementation and ongoing management of process data within the CYBELE (Infor PLM) system, the following responsibilities are essential:
- 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 points as 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, benchmarking, and knowledge reuse
Profile
- 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
Offer
- Assignment for 9 months, starting mid May 2026
- External contract via Nutri-akt
