Software Developer
Pubblicato il 19-08-2026 - Macchinari e impiantistica in Italia
As a Software and Connectivity Engineer , you will be involved in the development and maintenance of our controllers and our connectivity systems from the software point of view. You will take care of the data analysis to understand the machine's behavior and deliver insights to be shared with After Sales and Engineering Teams
As a Software and Connectivity Engineer , you will be involved in the development and maintenance of our controllers and our connectivity systems from the software point of view. You will take care of the data analysis to understand the machine’s behavior and deliver insights to be shared with After Sales and Engineering Teams
Programming controllers and PLC.
Develop and maintain software solutions using C and PLC programming (python is a plus)
Design, integrate, and validate IoT sensors and connectivity technologies for machine monitoring and data collection.
Implement solutions for signal acquisition, processing, and analysis from connected devices.
Analyze telematics and IoT data to identify machine behavior patterns, detect anomalies,
and support performance improvements.
Contribute to design, deploy, and maintain solutions within Microsoft Azure environment.
Contribute to develop and evaluate data analytics and machine learning applications
Take part in connectivity and digitalization projects, ensuring seamless integration between machines, cloud platforms, and enterprise systems.
Collaborate with multidisciplinary teams to test, validate, and continuously improve connected product solutions
University degree Computer Science, IT, electronic engineering or equivalent
Experience in manufacturing company (at least 3 years)
Experience with SQL / Synapse Analytics / Power Bi / Azure (at least 3 years)
Experience with programming languages (C++, Python, …), Cloud computing, Edge computing (at least 3 years)
Knowledge about latest IoT sensors and technologies, signal acquisition and processing (at least 3 years)
Data analysis skills (i.e. clea