Digitalization Engineer (Maternity Cover)
Italy, PolskaKey offer highlights
Data: SQL / BI / Python
Backend: Java / .NET / Node / Python
Full-time
About GEA
GEA is one of the largest suppliers for the food and beverage processing industry and a wide range of other process industries. Approximately 18,000 employees in more than 60 countries contribute significantly to GEA’s success – come and join them! We offer interesting and challenging tasks, a positive working environment in international teams and opportunities for personal development and growth in a global company.
Why join GEA
GEA is an equal opportunity employer. Applicants will therefore receive consideration for employment without regard to age, sex, race, color, religion, world view, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law. Applicants with disabilities are welcome and will be given special consideration if they are equally qualified.
Your profile and qualifications
Knowledge of industrial processes and data flows.
Good knowledge of databases, data analytics concepts, and data visualization. Ability to read and understand a relational database and logic behind.
Familiarity with scripting or configuration languages (e.g. SQL, Python – preferred).
Knowledge of Microsoft Power Platform Tools in particular Power BI and Power BI Report Builder (PowerApps, PowerBI, PowerAutomate, etc.)
Knowledge in Agents generation with MS 365 Copilot and any related previous working experience will be considered as a plus.
English: B1/B2 (written and spoken).
Critical Thinking.
Problem solving attitude.
Result oriented.
Teamwork skills.
Competitive compensation
Annual bonus tied to company performance
Health & wellbeing programmes
Pension plan membership
Shares & savings programme
Your responsibilities and tasks
Analyze and map existing business processes (engineering, production, quality, maintenance, supply chain).
Collect functional and technical requirements for digital solutions.
Support data management or process improvement activities and user training.
Monitor the performance of digital solutions currently in use and propose continuous improvements.
Create, maintain, or modify Power BI dashboards and reports.
Participate in weekly team activities.
Ensure alignment with quality, safety, and cyber-security standards.
Several Power Apps interfaces
SAP Material Master
Siemens PLM system and its Material Master
SQL Server database
Microsoft Access / Excel databases
TESEO – Traceability system
Several Microsoft Power App applications