The European mining industry experienced a 33% drop in new job postings in Q2 2023 compared with the previous quarter, with the highest share accounted for by Novolipetsk Steel with 899 job postings, according to GlobalData’s analysis of mining company job postings. GlobalData’s Digging Deeper into Sustainability: Key Disruptive Forces in Mining report explores disruptive forces and innovation in the sector. It offers insights into the latest trends, deals, patents, and real-world innovations. Buy the report here.

Notably, Management Occupations jobs accounted for a 10% share of the European mining industry’s total new job postings in Q2 2023, drop 34% over the prior quarter.

Management Occupations drive mining hiring activity

Management Occupations, with a share of 10% new job postings, was the occupation with the greatest hiring activity in the European mining industry in Q2 2023 , ahead of Architecture and Engineering Occupations with a 7% share of new job postings.

The other prominent roles included Computer and Mathematical Occupations with a 6% share in Q2 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 30% of hiring activity

Novolipetsk Steel posted 899 jobs in Q2 2023 and registered a decline of 4% over the previous quarter, followed by ABB with 861 jobs and a 27% drop. Nexans, with 639 jobs, and Constellium, with 576 jobs, recorded a 30% drop and a 72% drop, respectively, while Atlas Copco recorded a 274% increase with a 513 new job postings during Q2 2023.

Regional analysis of hiring in the European mining industry, Q2 2023

Germany held the leading share of the European mining hiring activity with a 21.40% share, an 8% decrease over Q1 2023. Russia was next with 13.41%, four-percentage-point up over the previous quarter.

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This content was updated on 24 July 2023


GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

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.