Data Management Engineer

Morson Group
Preston St. Mary, United Kingdom
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 63K

Job location

Preston St. Mary, United Kingdom

Tech stack

Configuration Management
Data Cleansing
Python
Scripting (Bash/Python/Go/Ruby)
SC Clearance
Data Management
Alteryx

Job description

This is a hands-on position supporting a major data cleansing and remediation programme, focused on improving the quality, accuracy and integrity of engineering and configuration data.

You will play a key role in identifying, correcting and maintaining data across engineering systems while supporting change and configuration control processes.

You will be responsible for:

  • Supporting a large-scale data cleansing and correction programme
  • Manually reviewing, correcting and maintaining engineering data
  • Generating and managing engineering change requests
  • Supporting configuration management activities
  • Applying data management and configuration management principles
  • Working closely with engineering and programme teams

Requirements

This role will suit someone who enjoys detailed, operational work and has a strong eye for accuracy and data quality. Essential Experience

  • Proven experience generating and managing change requests
  • Strong understanding of data management and configuration management principles
  • Experience working in engineering, manufacturing, defence, or aerospace environments
  • Comfortable working in a hands-on, data-focused role

Desirable Skills

  • Experience with automated Scripting using Python or Alteryx (beneficial but not essential)

Security Clearance

Candidates must be eligible for BPSS and SC clearance. You do not need to already hold active SC clearance to be considered.

Benefits & conditions

This is a long-term contract opportunity with a strong likelihood of extension, offering competitive rates and a hands-on role within a large-scale data cleansing programme.

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