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Data Migration Engineer

Job in Slough, Berkshire, SL1, England, UK
Listing for: Entech Technical Solutions
Full Time position
Listed on 2026-08-11
Job specializations:
  • Engineering
    Data Engineering, Engineering Design & Technologists
  • IT/Tech
    Data Engineering, Engineering Design & Technologists
Salary/Wage Range or Industry Benchmark: 38000 GBP Yearly GBP 38000.00 YEAR
Job Description & How to Apply Below

Data Migration Engineer

Working onsite in Slough

Fixed Term Contract for 18 months

Salary is £38K per annum

Working on the migration of existing Engineering Product Data, to a new PLM tool.

Engineering Product Data contains 3D CAD data, drawings, PDF, Word and Excel documents.

Essential Duties and Responsibilities

  • Takes ownership and delivers the Data Migration work package.
  • Responsible for Data Migration of Legacy and In-Production Product Data to PLM (Product Lifecycle Management)
  • Key activities involve Data Assessment and Planning, Data Extraction and Data Sorting, Data Cleaning and Data Validation, and preparing the data to Migrate to PLM.
  • Work along with PLM team from other sites for transfer activity.
  • Data Preparation – adhering to company guidelines.
  • Harmonize and improve methods for Data Modelling.
  • Document these improvements through procedures and instructions.
  • Responsible for organizing tool associated training.

Requirements

Background in Data Engineering, Mechanical Engineering or General Engineering.

Awareness with PLM Systems:
Knowledge with PLM platforms. e.g. Siemens Teamcenter, PTC Windchill or similar PLM tool.

Knowledge of CAD database:
Awareness of CAD and drawing data contents.

Data Management / Database Management:
Key activities involve Data Assessment and Planning, Data Extraction and Data Sorting, Data Cleaning and Data Validation, and preparing the data to migrate to PLM.

Programming:
Familiarity with scripting for automation and tool integration. Excel & Power BI.

Additional Desirable Skills:

  • Familiarity with digital twin concepts and IoT Data Integration.
  • Exposure to Data Analytics, reporting tools (e.g., Power BI, Tableau) for engineering KPIs.

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