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The Data Science job market in Hungary has exhibited notable fluctuations over recent weeks, with a peak of 524 new job openings recorded in week five. In contrast, the job market experienced lower activity in subsequent weeks, culminating in a significant dip to only 215 new roles in week 14. Closed data science positions show a concerning trend, with a high of 117 roles closed in week nine, indicating potential challenges in candidate retention. When compared to the broader European landscape, where the Data Science job market has consistently posted thousands of positions weekly, Hungary's Data Science Engineer hiring trends reflect a more volatile and competitive environment. This variance suggests that hiring managers must refine their recruitment strategies to align with the growing demand for Data Science Engineers in Hungary's tech sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 20 |
|
Deutsche Telekom IT Solutions HU | Hungary | Information Technology & Services | 2006 | 19 |
|
Ericsson | Sweden | Telecommunications | 1876 | 15 |
|
Siemens | Germany | Machinery | 1847 | 14 |
|
Nokia | Finland | Telecommunications | 1865 | 13 |
|
evosoft | Germany | It Services And It Consulting | 1995 | 10 |
|
Betsson Group | Malta | Entertainment | 1963 | 8 |
|
Outlier | United States of America | Software Development | null | 8 |
|
MSCI | United States of America | Financial Services | null | 8 |
|
WorldQuant | United States of America | Financial Services | 2007 | 7 |
The talent market for Data Science Engineers in Hungary shows a competitive landscape, with a notable ratio of job openings to available talent. Currently, Hungary has a specific number of job openings relative to its talent pool, making it a moderately challenging environment for hiring managers. Comparatively, countries like Poland and Germany present similar recruitment challenges due to high demand and limited supply, while the United Kingdom appears to have more job openings than available talent, exacerbating the hiring difficulties. For CTOs and recruiters focusing on the Hungarian tech sector, understanding these dynamics is crucial for developing effective recruitment strategies amidst the evolving Data Science job market.
In the Hungary Data Science job market, the seniority distribution reveals significant trends: 61% of positions are at the Mid-Senior level, 21% are Entry level, and 9% are Associate roles. This distribution indicates a robust demand for experienced Data Science Engineers while still accommodating emerging talent, shaping recruitment strategies for CTOs and hiring managers in Hungary's tech sector.
In Hungary's engineering job market, Full-time positions dominate with 95% of available roles, reflecting a strong preference for stable employment among candidates. Contract roles account for 4%, indicating a growing but limited appetite for temporary engagements. Part-time opportunities represent a mere 2%, suggesting that flexibility in work arrangements remains less prevalent in this sector.
The time to hire distribution for Data Science roles in Hungary reveals critical insights for hiring managers. Notably, the majority of hires, accounting for 170 positions, fall within the 35-day bracket, indicating a competitive landscape for Data Science Engineers. As we observe the distribution, 82 hires were made within 15 days, pointing to a quick turnaround for essential roles. At the same time, the demand persists well into the 30 to 50-day range, with significant counts of 152 and 61 respectively. Understanding these timeframes is essential for CTOs and recruiters to refine their recruitment strategies and remain competitive in the evolving Data Science job market in Hungary.
The Data Science job market in the Netherlands indicates a total of 40 new job postings within a week, with a competitive landscape reflected in the closure of up to 39 positions in a single week.
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The talent pool for Data Science Engineers in Estonia is relatively constrained, making the hiring landscape competitive despite a substantial number of job openings.
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The Data Science job market in Lithuania exhibits significant competition, with a talent pool of 800 professionals against 200 job openings, resulting in a jobs-to-talent pool ratio of 4.0.
View ReportIn Hungary, the distribution of Data Science Engineer job openings is heavily concentrated in key urban areas. Budapest stands out with 1572 positions, accounting for 91% of the total job market in this sector. Following it, Debrecen hosts 57 openings, representing 3% of the market, while a small portion is available in remote roles at 2%. This trend underscores the capital's pivotal role in the Data Science job market in Hungary, as illustrated in the accompanying chart.
In the Data Science job market in Hungary, the most prevalent technologies highlight the skill set that candidates are expected to possess. Python stands out as the most utilized technology, appearing in 13,712 instances, followed by SQL with 4,796 mentions and Java with 4,901 occurrences. Machine Learning, a crucial aspect of Data Science roles, is also significant, reflecting 4,835 mentions. Furthermore, AI, another critical area of expertise, shows a strong presence with 2,779 occurrences. These findings are visually represented in the accompanying chart, underscoring the importance of these technologies in shaping the landscape of Data Science Engineering opportunities in Hungary.
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