6 дней назад
Process Monitoring Systems Lead (Data Engineering, ML and AI)
78 000 - 104 667€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Process Monitoring Systems Lead (Data Engineering, ML and AI): Leading offline and online process monitoring systems, IIoT data management, contextualization pipelines, and time-series analytics for manufacturing operations with an accent on cloud data services, ETL automation, and real-time industrial connectivity. Focus on designing data engineering solutions, improving process robustness and equipment reliability, and enabling data-driven decisions across new and legacy facilities.
Location: Geel, Belgium; hybrid work arrangement
Salary: €78,000–€104,667 per year
Company
develops healthcare solutions and operates global manufacturing and supply functions focused on improving patient outcomes.
What you will do
- Lead the coordination, implementation, and configuration of offline and online process monitoring systems across the manufacturing and supply network.
- Provide expert support for industrial IoT data management, data contextualization, and Edge-to-Cloud connectivity.
- Partner with manufacturing operations, Digital, Smart Factory, and global functions to improve source data systems and time-series platforms.
- Design and support advanced analytics, dashboards, and data-driven decision-making for new and legacy facilities.
- Train the global MSAT Data Science network in data engineering and visualization techniques.
- Coordinate contractors and co-op employees to maintain sustainable data and analytics support.
Requirements
- At least 5 years of experience with large-scale datasets, cloud computing, and cloud data services.
- Advanced Python and SQL skills for ETL automation, plus experience building data contextualization pipelines and CI/CD deployments.
- Experience with industrial IoT applications, process automation systems, PLCs, DCS, sensors, and embedded devices.
- Experience designing web-based user interfaces and real-time dashboards using Power BI or similar platforms.
- Knowledge of AWS, Snowflake, Azure, AVEVA PI or Aspen InfoPlus 21, MS SQL Server, MySQL, PostgreSQL, and data visualization tools.
- Fluent English and Dutch; degree in Process Engineering, Computer Science, Statistics, or a related field.
Nice to have
- Experience with SeeQ, SIMCA, Dataiku, JMP, Tableau, or PI Vision.
- Experience in preventive and predictive maintenance for manufacturing equipment.
- Project management, Lean and Agile practices, user experience management, and vendor management.
Culture & Benefits
- Opportunity to work on manufacturing data, ML, AI, and process improvement projects affecting healthcare delivery.
- Access to cutting-edge technologies and opportunities for learning and professional growth.
- Employee recognition through 's global Bravo! program.
- Career development through promotions, lateral moves, and international assignments.
- Equal opportunity workplace with a focus on collaboration, innovation, and impactful change.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →