Johnson Electric Group is the definitive leader in micromotors, motion subsystems and actuators for automotive and industrial applications. Our motion solutions adjust car seats and headlamps, run vacuum cleaners and power drills as well as 300 other applications worldwide. We are the safe choice for our clients.

For our manufacturing site based in Niš, Serbia we are looking for a

Big Data Analytics Project Lead

Come innovate motion with us

Big Data Analytics Project Lead represents the key role in enabling JE's Operations Digital Transformation and Industry 4.0 technology roll-out for the largest plant in EMEA.

The jobholder will be leading the technology development for shop floor data acquisition for big data analytics and AI applications. The person in this position is an engineer with skills in shop floor data acquisition technology, data engineering and OT. The job holder uses her/his expertise to enable data collection from various machines on the shop floor, directly from the PLCs (e.g., RS232/484), or through a standard or vendor-specific data interface. The job holder is capable of planning and selecting the appropriate technology for the entire data extraction and conversion pipeline from machine to database and analyse the quality, scalability, and cost-effectiveness of the proposed solutions.

Your Responsibilities will be to:

  • Based on the strategy of the Digital Transformation leadership, develop and implement big data solutions for the shop floor in the EMEA 737 plant Nis following JE big data standards, bringing advanced AI and Industry 4.0 technology to production
  • Guide local teams in Nis and other JE sites following and implementing JE standard shop floor data acquisition solutions
  • Drafting, communicating, and enforcing standards for the use data acquisition technologies and selection of data protocols
  • Support the digital transformation team in drafting, communicating, and enforcing standards for data storage and data processing
  • Maintain professional and technical knowledge and improve weak areas by self-study, attending workshops, seminars, and training courses

Our requirements:

  • BSc or MSc degree – technical background preferred, but not limited to
  • Relevant working experience in shop floor data acquisition, machine connectivity and MES
  • Good programming skills (preferably SQL, Python, C/C++, .net)
  • Expertise in data processing and data visualization (experience with Power BI would be a plus )
  • Ability to describe complex technology in a clear way and visually represent technological processes
  • Understanding and adequately handling sometimes conflicting expectations and wishes of various stakeholders around the production process (quality, process engineering, plant management, line operators, business leadership)
  • Understanding how various data sources can be combined in the optimal way to provide the most detailed information about the production process for the lowest cost and with the lowest impact
  • Experience in project management would be a plus
  • Strong English language skills (verbal and written)
  • Flexibility and willingness to travel

What we offer

  • International and dynamic working environment
  • A member of a global team
  • Opportunity for continuous development

If you are interested in this challenging position, we are looking forward to receiving your CV in English.

*Obaveštavamo vas da će, ukoliko se prijavite na ovaj konkurs i pošaljete nam vašu radnu biografiju (CV), privredno društvo Johnson Electric doo Niš, sa registrovanim sedištem u Nišu – Crveni Krst, Vazduhoplovaca BB, u svojstvu rukovaoca podataka, obrađivati vaše lične podatke koje nam dostavite putem radne biografije ili na drugi način ili ih mi pribavimo u skladu sa zakonom (na primer, iz javno dostupnih izvora), a sve kako bismo mogli da donesemo odluku u vezi sa vašom prijavom za zaposlenje, kao i da sa vama komuniciramo u vezi sa tim. Ova obrada vaših ličnih podataka vršiće se u skladu sa svim relevantnim pravilima predviđenim važećim Zakonom o zaštiti podataka o ličnosti Republike Srbije.

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