Share this article

The Australian aerospace, defence and security industry experienced a 5% rise in new job postings in Q2 2023 compared with the previous quarter, with the highest share accounted for by RTX with 218 job postings according to GlobalData’s analysis of aerospace, defence and security company job postings. Gain an in-depth understanding of the important Australia defense market drivers, defense strategies, and market sizing by sectors with GlobalData’s Australia Defense Market report. Buy the report here.

Notably, Computer and Mathematical Occupations jobs accounted for a 17% share of the Australian’s aerospace, defence and security industry new job postings in Q2 2023, up by 18% over the prior quarter.

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

Of the industry's total hiring activity, the highest number of new job postings were for Computer and Mathematical Occupations, which accounted for 17% of the total new job postings in Q2 2023 and were down by 22% year-on-year. Second highest were Management Occupations, which accounted for 16% and rise by 10% year-on-year, and third highest were Architecture and Engineering Occupations, which were 0.87% of the new job postings and 32% lower year-on-year.

Top five companies in aerospace, defence and security accounted for 69% of hiring activity

The highest number of jobs were posted by RTX with 218, followed by Thales with 217, while the highest increase was at Saab at 18%.

For further understanding of GlobalData's Australia Defense Market, buy the report here.

This content was updated on 24 July 2023

Premium Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData

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.