pracaon.pl

Digitalization Engineer

Italy, Polska
GEA
Partner
3d
Salary to be agreed
Full-time • On-site • IT & Telecommunications

Key offer highlights

  • Tools: Excel, ERP/SAP systems

  • Data: SQL / BI / Python

  • Full-time

Description

Are you ready to shape the future of sustainable industries? Join GEA and become part of a global team that’s driving innovation, excellence, and impact across the food, beverage, and process sectors. GEA is one of the leading suppliers for the food and beverage processing industry and for a wide range of other process industries. Around 18,000 employees in over 60 countries contribute significantly to GEA’s success: 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.

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

  • Bachelor’s or Master’s degree in Engineering, Information Technology, Data Science, or a related field.

  • 3–5 years of experience in roles related to process improvement, data analysis, or digital solutions implementation.

  • Experience working in industrial or engineering environments is considered a strong plus.

  • Proven ability to analyze business processes and translate needs into digital solutions.

  • Experience working with data in complex environments, preferably involving ERP systems (e.g. SAP).

  • Ability to work independently, taking ownership of activities and driving results.

  • Strong critical thinking and analytical mindset, with a proactive approach to problem-solving.

  • Good communication skills and ability to interact with both technical and business stakeholders.

  • Fluent in English (written and spoken).

Your responsibilities and tasks

  • Actively contribute to process redesign.

  • Provide cross-functional support to introduce innovation and digital solutions.

  • Support and enable data management and process improvement activities, including user training.

  • Monitor the performance of digital solutions currently in use and propose continuous improvements.

  • Design and develop digital applications and dashboards aligned with business needs.

  • Ensure scalability of solutions according to business and functional needs.

  • Proactively identify opportunities for process optimization and digitalization.

  • The role will play a key part in the ongoing ERP transformation, contributing to the analysis, restructuring, and optimization of business data and processes.

  • Participate in weekly team activities.

  • Ensure alignment with quality, safety, and cybersecurity standards.

  • Strong understanding of relational database design principles (data modeling, normalization, performance optimization).

  • Hands-on experience with SQL Server (querying, data extraction, data manipulation).

  • Solid knowledge of data analysis techniques, with the ability to work on complex datasets and support data-driven decision-making.

  • Experience in data analysis activities within complex system environments (ERP systems such as SAP is a plus).

  • Familiarity with programming/scripting languages (Python preferred) for data processing, automation, and analysis.

  • Good understanding of data flows and data architecture in industrial or engineering environments.

  • Availability to travel and participate in workshops with international teams.

  • Ability to work effectively in a multicultural and cross-functional environment.

  • Strong critical thinking and problem-solving skills.

This offer was imported from an external portal.Listing source