The European aerospace, defence and security industry experienced a 30% drop in new job postings in Q1 2023 compared with the previous quarter, with the highest share accounted for by Airbus with 2,332 job postings, according to GlobalData’s analysis of aerospace, defence and security company job postings. Buy the report here.

Notably, Computer and Mathematical Occupations jobs accounted for a 10% share of the European aerospace, defence and security industry’s total new job postings in Q1 2023, drop 29% over the prior quarter.

Computer and Mathematical Occupations drive aerospace, defence and security hiring activity

Computer and Mathematical Occupations, with a share of 10% new job postings, was the occupation with the greatest hiring activity in the European aerospace, defence and security industry in Q1 2023 , ahead of Architecture and Engineering Occupations with a 9% share of new job postings.

The other prominent roles included Management Occupations with an 8% share in Q1 2023, Business and Financial Operations Occupations with a 3% share and Office and Administrative Support Occupations with a 3% share of new job postings.

Top five companies accounted for 54% of hiring activity

Airbus posted 2,332 jobs in Q1 2023 and registered a decline of 38% over the previous quarter, followed by Rheinmetall with 2,309 jobs and an 8% growth. Safran, with 2,035 jobs, and Thales, with 2,026 jobs, recorded a 20% drop and a 63% drop, respectively, while Raytheon Technologies recorded a 196% increase with a 1,126 new job postings during Q1 2023.

Regional analysis of hiring in the European aerospace, defence and security industry, Q1 2023

Germany held the leading share of the European aerospace, defence and security hiring activity with a 28.38% share, a 21% decrease over Q4 2022. France was next with 27.13%, four-percentage-point down over the previous quarter.

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

GlobalData’s Job 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.