Engineering & Master Data Trainee — Parts Excellence

Nordex Group; Noáin; On-site; EUR 18,000 - 28,000; Full time

Job summary

Nordex Group in Navarra, Spain is seeking an Engineering and Master Data Trainee (m/f/d) in SPM - Parts Excellence. This role involves managing turbine spare parts topics, data cleansing, and supporting data collection initiatives.

You will contribute to data management projects and collaborate across functions in an international environment. The profile requires a degree in Mechanical or Electrical Engineering, Data Science, or AI, with advanced English (C1) and strong analytical skills.

Qualifications

• Degree in Mechanical Engineering, Electrical Engineering, Data Science, Artificial Intelligence, or a related field.
• Advanced English (C1) is required.
• Strong analytical and problem-solving skills with high attention to detail.
• Good organizational and communication skills.

Responsibilities

• Managing and resolving turbine spare parts related topics and supporting daily operational activities.
• Performing data cleansing, validation, and correction activities to ensure the accuracy and quality of internal master data.
• Supporting the Zipcube data collection project phases and contributing to data management initiatives.
• Driving continuous improvement of internal data, processes, and workflows through analysis and optimization.
• Collaborating with cross-functional teams on projects and providing support on additional tasks within the department.

Skills

Analytical skills

Problem solving

Attention to detail

Organizational skills

Communication

Teamwork

Education

Mechanical Engineering

Electrical Engineering

Data Science

Artificial Intelligence

Job description

Nordex Group in Navarra, Spain is seeking an Engineering and Master Data Trainee (m/f/d) in SPM - Parts Excellence. This role involves managing turbine spare parts topics, data cleansing, and supporting data collection initiatives.

You will contribute to data management projects and collaborate across functions in an international environment. The profile requires a degree in Mechanical or Electrical Engineering, Data Science, or AI, with advanced English (C1) and strong analytical skills.