The Brazilian technology industry experienced a 5% rise in new job postings in Q3 2023 compared with the previous quarter, with the highest share accounted for by StoneCo with 1,746 job postings according to GlobalData’s analysis of technology company job postings. GlobalData’s Technology: Hiring Trends & Signals Q3 2023 report reveals comprehensive insights into hiring patterns, job roles, required skills, geographical trends, and key themes within the technology industry, facilitating anticipation of future workforce needs. Buy the report here.

Notably, Computer and Mathematical Occupations jobs accounted for a 13% share of the Brazilian technology industry new job postings in Q3 2023, down by 7% over the prior quarter.

Computer and Mathematical Occupations drive technology industry 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 13% of the total new job postings in Q3 2023 and were down by 27% year-on-year. Second highest were Management Occupations, which accounted for 3% and drop by 51% year-on-year, and third highest were Life, Physical, and Social Science Occupations, which were 61% of the new job postings and 17% higher year-on-year.

Top five companies in technology industry accounted for 61% of hiring activity

The highest number of jobs were posted by StoneCo with 1,746, followed by Telefonica with 440, while the highest increase was at TOTVS at 98%.

For further understanding of GlobalData's Technology: Hiring Trends & Signals Q3 2023, buy the report here.

This content was updated on 8 October 2023

Premium Insights


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, 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.