The European power industry experienced a 31% drop in new job postings in Q4 2023 compared with the previous quarter, with the highest share accounted for by Engie with 1,824 job postings, according to GlobalData’s analysis of power company job postings. GlobalData’s Power: Hiring Trends & Signals Q4 2023 report reveals comprehensive insights into hiring patterns, job roles, required skills, geographical trends, and key themes within the power industry, facilitating anticipation of future workforce needs. Buy the report here.

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Notably, Management Occupations jobs accounted for an 11% share of the European power industry’s total new job postings in Q4 2023, drop 22% over the prior quarter.

Management Occupations drive power industry hiring activity

Management Occupations, with a share of 11% new job postings, was the occupation with the greatest hiring activity in the European power industry in Q4 2023 , ahead of Architecture and Engineering Occupations with a 9% share of new job postings.

The other prominent roles included Computer and Mathematical Occupations with a 9% share in Q4 2023, Business and Financial Operations Occupations with a 5% share and Office and Administrative Support Occupations with a 5% share of new job postings.

Top five companies accounted for 33% of hiring activity

Engie posted 1,824 jobs in Q4 2023 and registered a decline of 67% over the previous quarter, followed by Electricite de France with 1,816 jobs and a 47% growth. Siemens, with 1,632 jobs, and Siemens Energy, with 1,384 jobs, recorded a 66% drop and a 22% rise, respectively, while Vestas Wind Systems recorded a 210% increase with a 980 new job postings during Q4 2023.

Regional analysis of hiring in the European power industry, Q4 2023

Germany held the leading share of the European power hiring activity with a 24.38% share, a 45% decrease over Q3 2023. the UK was next with 19.69%, four-percentage-point down over the previous quarter.

For further understanding of GlobalData's Power: Hiring Trends & Signals Q4 2023, buy the report here.

This content was updated on 6 January 2024

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GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.