Data Quality Analyst

Expleo is currently recruiting an experienced Data Quality Analyst to support one of our major automotive customers based in Gaydon. This is a contract opportunity suited to a senior CAD professional with strong technical capability and the confidence to work independently on complex engineering projects.

The Role

As a Data Quality Analyst, you will play a key role in the creation, modification, and validation of engineering designs using CAD/CAM/CAE tools. You will collaborate closely with engineering and manufacturing teams to deliver high-quality digital models, drawings, and simulations that support product development and optimisation.

Key Responsibilities

• Translate engineering requirements into accurate technical drawings, layouts, and digital models using CAD/CAM/CAE software
• Create, edit, and manage complex CAD models for components, parts, and assemblies
• Customise CAD/CAM/CAE tools to support complex or non-standard design requirements
• Develop digital prototypes and conduct design simulations to verify reliability, safety, and performance
• Recommend design improvements based on simulation and digital prototyping outcomes
• Collaborate with product and manufacturing engineers throughout the design lifecycle
• Produce materials lists and contribute to cost estimates where required
• Manage assigned workstreams independently with limited supervision
• Coach, review, and support the work of junior or lower-level CAD professionals

About You

• Proficiency with PLM and CAD tools, including Dassault Systems 3DEXPERIENCE (PLM), CATIA V5 (CAD), and Siemens Teamcenter (PLM).
• Strong technical understanding of automotive architectures, systems, or commodities, with the ability to apply this knowledge in an engineering or design environment.
• Strong communication skills, able to simplify complex information and convey it clearly both verbally and through high‑quality written documentation.
• Exceptional attention to detail, with a methodical approach to problem‑solving and issue detection.
• Comfortable working independently, with the confidence to seek support or clarification when required.
• Process‑minded and committed to maintaining a high standard of output, consistently supporting quality and continuous improvement.
• Proven ability to manage a defined workload, prioritizing effectively and delivering tasks within agreed timelines.
• Technically curious, proactive, and confident in learning new tools, processes, and skills.

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