
Energy technology company
Engineering Intern-Wind Engineering Operations
Required skills
English
MS Office
Logical thinking
Job Description Summary
This internship provides a hands-on opportunity to contribute to the development of a configuration management framework for Wind Turbine products, using Product Lifecycle Management (PLM) system best practices. The project focuses on defining how platforms, product families, and variants are structured, managed, and represented in the PLM system to enable controlled configuration and efficient data reuse
Job Description:
The goal of the project is to define and implement the process and data structure for managing Wind Turbine product platforms, families, and variants in a PLM environment. This will establish a clear and standardized foundation for configuration control, product evolution, and option management across the product lifecycle.
Intern will:
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Define together with Config Management leader the rules and governance for platform, family, and variant management.
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Complete the product hierarchy model that supports configuration-driven development and reuse across multiple Wind Turbine variants.
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Identify and consolidate existing data from multiple tools (e.g., Excel lists, PLM, engineering databases) into the PLM system.
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Define quality checks on data consistency, hierarchy integrity.
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Expected Deliverables
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Process documentation describing how platforms, families, and variants are defined, approved, and maintained.
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Complete the implementation of the product hierarchy model in the PLM system, demonstrating relationships between base platforms and derived variants.
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Data mapping report showing how existing data from current tools are integrated into the new structure.
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Governance and ownership model defining stakeholder roles and responsibilities.
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Final presentation and summary report outlining results, lessons learned, and recommendations for next steps
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Qualifications/Requirements
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Fluent in English
-
University student (active status)- Engineering (mechanical, electrical, or aeronautical disciplines are preferred)
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Good command of MS Office
-
Logical thinking
-
PLM skills would be a plus
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Workstyle: mostly office work required at Barcelona site with some possibility of remote work
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Working hours: 20 hours/week
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Preferred start date: 1st February (but no later than 1st March)
If contracted in Spain:
Non-national candidates are responsible to know the minimum documentation requirements to be able to be contracted in country: NIE- Social Security Affiliation Number in Spain (NAF) and Bank Account in Spain. They must be in possession of them at the time of start hiring. GE will not sponsor this
- Desired Characteristics
- Interest in Configuration Management discipline
- Analytical mindset
- Attention to detail
- Curiosity and willingness to learn
- Collaborative attitude
- Proactive problem solving
Outcomes - Intern will gain
Experience on:
- Applying Configuration Management principles in a real world industrial context
- Structuring product architectures based on platforms, families and variants.
- Working with PLM tools to define and manage product data
- Collaborating across engineering and product management.
Knowledge on:
- Wind turbines portfolio
- PLM Systems
Basic knowledge of wind turbines sub-systems:
- Wind turbines portfolio
- PLM Systems
Additional Information:
Relocation Assistance Provided: No
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About GE Vernova

GE Vernova
PublicGE Vernova, Inc. is an energy equipment manufacturing and services company headquartered in Cambridge, Massachusetts.
10,001+
Employees
Boston
Headquarters
$16B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
3.8
Culture
3.9
Career
3.4
Management
3.7
65%
Recommend to a friend
Pros
Supportive and approachable management
Excellent benefits and retirement plans
Professional development opportunities
Cons
Heavy workload and frequent overtime
High expectations and stress
Limited growth opportunities
Salary Ranges
118 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Project Manager
0 reports
$188,136
total per year
Base
-
Stock
-
Bonus
-
$159,916
$216,356
Interview experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview process
1
Application Review
2
HR Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Final Technical Round
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
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