Automation Engineer — Power Systems Modeling & Data

National Grid

United Kingdom

Hybrid

GBP 55,000 - 75,000

Full time

6 days ago
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Job summary

National Grid Electricity Distribution (NGED) is seeking a Secondary Automation Engineer to design, build and maintain automated workflows for power system models. You will work with data, develop tools and enable scalable modelling across multiple NGED licence areas.

You will apply Python/SQL, ETL techniques and data integration to improve analysis, automation, and collaboration with multi-disciplinary teams. Hybrid working is supported.

Qualifications

  • Strong programming in Python with data-driven solutions and automation focus.
  • Experience with SQL, data cleaning and large datasets using Pandas/NumPy.
  • Familiarity with ETL pipelines, data transformation and CIM standards is a plus.

Responsibilities

  • Develop, maintain and improve automated processes for power system models and data workflows.
  • Enhance analysis capabilities through tools, integrations and automation for faster insights.
  • Improve data quality and interoperability with automated validation and transformation.
  • Collaborate with engineering, IT&D and Geospatial teams to improve modelling workflows.
  • Maintain NGED's secondary network modelling capability and outputs for stakeholders.
  • Support regulatory and industry initiatives including CIM standards adoption.
  • Provide training and guidance to Secondary Modelling Engineers.

Skills

Python
SQL
Pandas
NumPy
ETL

Education

STEM or IT degree

Tools

PSS Sincal
DINIS
PSSE
IPSA
PowerFactory
FME
Electric Office
EMU
CROWN

Job description

National Grid Electricity Distribution (NGED) is seeking a Secondary Automation Engineer to design, build and maintain automated workflows for power system models. You will work with data, develop tools and enable scalable modelling across multiple NGED licence areas.

You will apply Python/SQL, ETL techniques and data integration to improve analysis, automation, and collaboration with multi-disciplinary teams. Hybrid working is supported.

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