Digital Manufacturing Engineer

Bridgestone

Rome, Italy

Job description

We are looking for a fresh graduate engineer or less than 2 years’ experience in Control Engineering, Electronics Engineering, Engineering in Computer Science, Telecommunications Engineering, Information Technology or similar;

Selected candidate will play a crucial role in bridging the gap between information technology (IT) and operational technology (OT) within our manufacturing organization.

Selected candidate will be responsible for designing, implementing, and maintaining integrated solutions that enhance efficiency, productivity, and overall performance.

Selected candidate will be part of the team supporting the Manufacturing Digital Transformation.

Required capabilities

Technical background

University degree in Control Engineering, Electronics Engineering, Engineering in Computer Science, Telecommunications Engineering, Information Technology or similar;
Bachelor’s degree or University degree in different area can be an option upon already acquired and demonstrable specific job experience at high profile level.

Languages

Fluent English required;
Other EMEA languages are a plus.

Core competency skills

Understanding of Manufacturing Process;
Understanding of various communication protocols (Profibus, Ethernet IP, OPC, …);
Strong know-how in IT and mainly cloud-based solutions;
Strong know-how in OT, with experience with AVEVA System Platform (formerly Wonderware) concepts and products (Archestra, Historian Server and Clients, InTouch HMI/OMI) is also a plus;
Familiarity with PC Programming Languages;
SQL skills are a plus (MSSQL and Oracle).

Soft Skills

Problem Solving capabilities;
Effective communication skills both verbal & written, both 1-1 and group situations ;
Situational Leadership;
Time management;
Team-work;
Willingness create and maintain an healthy working environment based on everybody respect and where personal goals and ambitions conveyed through the growth of the team and the company.

It is not an expected candidate have all the above set of capabilities already developed at high level.

What is expected is that candidate ability to learn makes possible to deploy them as required to deliver good performances whatever the problem the candidate has to work out.