The German technology industry experienced a 16% drop in new job postings in Q1 2024 compared with the previous quarter, with the highest share accounted for by Siemens with 676 job postings according to GlobalData’s analysis of technology company job postings. GlobalData’s Technology: Hiring Trends & Signals Q1 2024 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 17% share of the German technology industry new job postings in Q1 2024, down by 35% 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 17% of the total new job postings in Q1 2024 and were down by 31% year-on-year. Second highest were Management Occupations, which accounted for 14% and drop by 29% year-on-year, and third highest were Sales and Related Occupations, which were 22% of the new job postings and 14% higher year-on-year.

Top five companies in technology industry accounted for 20% of hiring activity

The highest number of jobs were posted by Siemens with 676, followed by Deutsche Telekom with 561, while the highest increase was at SAP at 5%.

For further understanding of GlobalData's Technology: Hiring Trends & Signals Q1 2024, buy the report here.

This content was updated on 28 April 2024

Data 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 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.