Installation Time Methodology Engineer

Nordex Group

Installation Time Methodology Engineer developing and maintaining time estimation methodologies for Nordex installation processes with a focus on digital continuity and optimization.

Posted 4/30/2026full-timeMadrid • 🇪🇸 SpainMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ERPETLMySQLPostgresPythonSQLVBA

About the role

Key responsibilities & impact

Develop, structure and update the Times Methodology, ensuring alignment with MTM based standards, Nordex information levels, and Nordex frameworks
Define, calculate and validate times at all process levels (Step Task RM Phase WTG WF), ensuring consistency, traceability and data integrity
Build and maintain the times database, including parameters, resources, prerequisites, weather thresholds and resource movements
Support the creation and synchronization of Road Maps (RMs), ensuring workload balancing, shift alignment, sequencing logic, and compliance with installation strategies
Collaborate with PM Technology, Tendering, IPT, Quality, HSE and other stakeholders to ensure full digital continuity across all NX systems
Analyze process data to identify improvement opportunities and contribute to standardization, efficiency gains, and methodology evolution
Provide expert guidance during pilot tests, rollouts and continuous improvement cycles for new Nordex methodologies
Ensure harmonization between documentation (Installation Manuals, tasks, steps) and time estimation processes within the "single source of truth" philosophy
Support system integration topics defining requirements, interfaces, and data flow
Contribute to the maturity process of installation methodologies, ensuring proper assumptions, parameter definitions and version development across all releases (V0 to Final)

Requirements

What you’ll need

Bachelor´s degree in Engineering or a related STEM field (Master´s degree is a plus)
Experience in process engineering, industrial engineering, or a related field.
Understanding process optimization techniques, including methods and installation procedures
Experience in the wind industry or a similar manufacturing environment is preferred
Microsoft Office (Word, Excel, PowerPoint), MS Project;
Methods Time Measurement (MTM);
Process engineering;
Process optimization;
Workload balancing;
Production KPIs;
Data analysis (Excel advanced, Power BI), Python for process automation, SQL (queries, data modelling), Database management (SQL Server, PostgreSQL, MySQL), Data structures for industrial processes, API integration, VBA scripting (Excel/Office automation), Basic ETL workflows, PLM/ERP data handling, Version control (Git), JSON/XML data structuring,
Knowledge of simulation or modelling tools (process simulation, discrete event modelling)
Proficiency in English (B2 level or higher) and Spanish is desirable
Availability to make short trips

Benefits

Comp & perks

In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location

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Hard Skills & Tools

process engineeringindustrial engineeringprocess optimizationdata analysisPythonSQLdatabase managementVBA scriptingETL workflowssimulation tools

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingworkload balancingexpert guidancecontinuous improvementdata integritydocumentation harmonizationstakeholder engagement

Certifications

Bachelor's degree in EngineeringMaster's degree in Engineering