TECHNICIAN / ENGINEER FOR AUTOMATION TECHNOLOGY (M/F/D)

THINK AHEAD. SHAPE YOUR FUTURE WITH US!

Prozesstechnik KROPF GmbH develops and implements automation solutions for the manufacturing and process industry. With 70 employees at the headquarter in Oberkotzau, district of Hof in Germany, the company is present as the brand "KROPF Solutions". Further European locations are include Cheb (Czech Republic) and Győr (Hungary). As a Gold Partner with 30 years of experience with the zenon software platform, KROPF serves its more than 400 satisfied customers across all industries.

The expertise of the KROPF Solutions brand lies in the individual automation and software solutions tailored to the customer. Kropf offers the complete range of services from consulting, conception, implementation, training and support. According to the motto: Everything from one source! We rely on our highly qualified employees!

What awaits you:

You project, develop, program and commission controllers and drives, e.g. in the machine and custom machine construction department. You devise software for programmable logic controllers (Beckhoff, Siemens, B&R, Wago, Phoenix) and HMI / SCADA system software zenon. Your tasks also include the consultation with end customers, raising documentation material and requirements specifications as well as support during the processing of national and, if required, international projects.

WHAT WE WOULD LIKE:

You have thorough knowledge in the field of the control engineering. In addition to this, you have already gained practical experience in PLC programming (TwinCAT, CoDeSys, Step7) and ideally also contribute knowledge about the process visualisation with zenon. You like to work as part of a team, are a good communicator and have an independent, systematic and target-oriented way of working.

WHAT WE OFFER:

• Exciting and varied tasks
• Long-term prospects with development opportunities
• Pleasant working environment as well as flexible working hours
• Regular and systematic further education opportunities
• Flat hierarchies and short decision-making paths
• Know-how across sectors
• Compensation based on performance