Component Engineer – Data Analytics

We are committed to our culture that values Customer Focus, Flexibility, Knowledge, Speed and Integrity. Joining our team means you will work in a high performing global company where employees collaborate and strive for excellence. 

Position Summary

Acts as a subject-matter expert of material data while transforming component intelligence into strategic insights – Own the end-to-end integrity of component data within our PLM/ERP systems;  Bridge hardware engineering, procurement, quality, and IT by establishing frameworks for material data gathering, cleansing, and integrity assurance;  Leverage data analytics to manage component lifecycles, mitigate supply chain risks, and enable data-driven decision-making; Enable automation, reduce cycle times, and ensure supply chain resilience through trusted master data.

Duties & Responsibilities

• Develop ETL pipelines, scripts (Python/SQL) and APIs to integrate PLM/ERP systems, supplier portals, market intelligence tools and parametric databases.
• Analyse material characteristics and parametrics (electrical, mechanical, thermal), supplier details, lifecycle status, cost, lead‑time, quality and compliance data to identify potential data integrity issues.
• Lead data cleansing initiatives, implement validation rules, and automate data quality checks to ensure material data quality.
• Analyse product BOMs, utilize material demand and supply data to predict production risk due to material obsolescence and market shortage.
• Build self‑service dashboards (Power BI/Tableau) for lifecycle/shortage risk, cost variance, supplier performance, and component health.
• Partner with Design, Procurement, Quality, and Manufacturing to drive cost reduction, lead‑time mitigation, and supplier quality improvements.
• Partner with IT and engineering teams to optimize system configurations, workflows, and data integration points to ensure material data flows from component engineering to design to manufacturing
• Maintain documentation, standards, and training for component data and best analytics practices.

• BEng/BSc in Electrical/Electronic Engineering, Materials, or related.
• 3+ years of experience in Component Engineering, Material Master Data Management, Supply Chain Analytics, or Data Analytics for hardware.
• Knowledge of electronic components (ICs, actives, passives, electromechanical), including key parametrics and characteristics, commodity hierarchies and classifications, manufacturer/supplier market.
• Proficiency in MS Power BI, Power Query, DAX, Azure Data factory, etc.
• Proficiency in SQL language, database development & management, ecosystems.
• Experience with product BOM, engineering documentation, and change control.
• Experience with PLM/ERP systems (SAP, Oracle), including data structure, storage and configuration.
• Mathematical, statistical, and analytical skills – able to analyse, model and interpret data, identify trends and patterns to develop insights from data.
• Project management skills – able to lead cross-functional data initiatives from requirements gathering through implementation.
• Adaptive with strong initiatives, attention-to-detail with a passion for data accuracy, consistency and governance.

XP Power provides a safe and healthy working environment that is stimulating and collaborative, where employees are empowered to make a real difference. We place our people at the heart of everything we do. We understand that if we provide our people with the ultimate experience, they will provide the ultimate experience to our customers.