Asset Data Steward – GIS & Data Quality (Hybrid)

Asset Data Steward – GIS & Data Quality (Hybrid)

Full-Time 29700 - 36300 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Ensure asset data quality and governance while collaborating with engineering and operations teams.
  • Company: Join SGN, a leader in asset management with a focus on innovation.
  • Benefits: Enjoy a hybrid working model, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on collaboration and career advancement.
  • Why this job: Make a real difference by safeguarding vital asset information for operational success.
  • Qualifications: Strong attention to detail and experience in data management or governance.

The predicted salary is between 29700 - 36300 Β£ per year.

SGN is seeking an Asset Data Officer to safeguard asset data quality and governance across its distribution network.

You will maintain asset records, validate data in core systems, and support governance processes within the Asset Engineering team.

Based in the UK with a hybrid working model, you will collaborate with engineering, operations and projects to ensure asset information is accurate, compliant and readily available for operational and regulatory needs.

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Asset Data Steward – GIS & Data Quality (Hybrid) employer: SGN

SGN is an exceptional employer that prioritises the safety and well-being of both its employees and customers. With a strong commitment to employee growth, you will have the opportunity to gain valuable ACS qualifications, enhancing your skills and earning potential. The supportive work culture fosters teamwork and flexibility, making it an ideal environment for those looking to make a meaningful impact in their community while enjoying generous standby and overtime benefits.

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Contact Details:

SGN Recruitment Team

We think you need these skills to ace Asset Data Steward – GIS & Data Quality (Hybrid)

Communication Skills
Python
Problem-Solving Skills
SQL
Attention to Detail
Data Governance
Data Engineering