IIoT DATA & ANALYTICS EXPERT

Sidel; Parma; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading provider of industrial solutions in Italy is seeking an IIoT Data & Analytics Expert to enhance cloud-based intelligence from industrial data. The role involves data modeling, cloud integration, and managing data insights, requiring strong skills in Python and Docker. Ideal candidates have proven experience in industrial environments and excel in data management and reporting tools.

Competenze

• Strong skills in Docker, automation protocols, and embedded device development.
• Proven experience as a Data Analyst or Connectivity Expert in industrial environments.
• Proficient in Python, relational databases, and large-scale data management.
• Experience in data cleansing, mining, and quality assurance.

Mansioni

• Bridge industrial data with cloud-based intelligence.
• Manage data inspection, cleansing, transformation, and modeling.
• Ensure data acquisition from smart devices to cloud infrastructure.
• Deploy and manage containers on embedded systems.

Conoscenze

Python

Docker

Network protocols

Automation standards

Descrizione del lavoro

We’re looking for a dynamic and reliable IIoT Data & Analytics Expert eager to grow in a fast-paced environment. The role involves data modeling, cloud integration, and smart device connectivity. Required skills: Python, Docker, network protocols, and automation standards. Join us to shape the future of industrial data.

Your Mission

• As a key member of the Advanced Data Analytics team, the IIoT Data & Analytics Expert plays a pivotal role in bridging industrial data with cloud-based intelligence;
• This position is responsible for the end-to-end process of data inspection, cleansing, transformation, and modeling; working closely with domain experts to deliver actionable insights through robust reporting and diagnostics;
• The expert ensures seamless data acquisition from smart devices such as cameras and sensors, defining the standards and requirements for connectivity to Sidel’s cloud infrastructure. With hands-on experience in Docker and containerization, the candidate will deploy and manage containers on embedded systems, validate data acquisition tools, and troubleshoot connectivity issues;
• Success in this role requires a strong foundation in network protocols, automation standards, and object-oriented programming (Python), along with proficiency in popular data analysis tools. The ideal candidate combines technical excellence with a collaborative mindset to drive innovation in industrial IoT and smart manufacturing.

Your Profile

• Strong skills in Docker, automation protocols, and embedded device development;
• Proven experience as a Data Analyst or Connectivity Expert in industrial environments;
• Proficient in Python, relational databases, and large-scale data management;
• Ability to translate business needs into clear, non-technical language;
• Experience in data cleansing, mining, and quality assurance;
• Skilled in designing reporting environments and generating multi-source reports;
• High-level communication skills and ability to train end-users;
• Capable of developing algorithms and flexible tools for ad hoc reporting;
• Experience handling confidential data and collecting user feedback;
• Ability to validate data acquisition tools and collaborate with suppliers;