Agency Partners
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In recent weeks, the Data Engineers job market trends in Hungary, specifically in Debrecen, have demonstrated notable fluctuations in job postings and closures. The weekly job openings peaked at 8 positions (Week 5) but have since dwindled to as low as 1 position in Week 15. Conversely, job closures have shown significant activity, particularly in Weeks 6 and 10, where 6 and 5 positions were closed respectively. This trend suggests an increasingly competitive landscape for Data Engineer roles in Debrecen, indicating a potential mismatch between supply and demand. Such insights are critical for CTOs and hiring managers looking to implement effective recruitment strategies tailored to the evolving needs of Hungary's tech sector, especially when compared to hiring trends in other European regions.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 37 |
|
Deutsche Telekom IT Solutions HU | Hungary | Information Technology & Services | 2006 | 22 |
|
Siemens | Germany | Machinery | 1847 | 19 |
|
Sanofi | France | Pharmaceutical Manufacturing | null | 18 |
|
Nokia | Finland | Telecommunications | 1865 | 17 |
|
Ericsson | Sweden | Telecommunications | 1876 | 16 |
|
Betsson Group | Malta | Entertainment | 1963 | 15 |
|
Morgan Stanley | United States of America | Financial Services | null | 15 |
|
|
UNIX Autó | Hungary | Automotive | 1990 | 14 |
|
MSCI | United States of America | Financial Services | null | 13 |
The Data Engineers job market trends in Hungary reveal a competitive hiring landscape, especially in the city of Debrecen. Currently, Hungary boasts a job openings count that, when juxtaposed with the available talent pool, results in a relatively low jobs-to-talent pool ratio, indicating a heightened demand for skilled Data Engineers. In comparison, countries like Poland, Germany, and the Netherlands show varying talent availability, with Poland presenting a more favorable ratio, thereby suggesting easier talent acquisition in that region. Consequently, hiring managers and CTOs in Hungary may encounter challenges in sourcing qualified candidates, especially for Senior Data Developers, necessitating innovative recruitment strategies tailored for Hungary Debrecen's tech sector.
In the data engineering job market of Hungary, specifically in Debrecen, the seniority distribution reveals notable trends. Mid-Senior level positions account for 47% of the openings, indicating a strong demand for experienced professionals. Entry-level roles make up 33% of the market, suggesting opportunities for newcomers in the field. Additionally, Associate positions constitute 13%, highlighting a niche for professionals looking to advance their careers.
In the Hungarian engineering job market, the predominant employment type is full-time positions, accounting for 95% of available roles. Contract positions represent 4% of the market, while part-time roles make up 2%. This distribution highlights the strong preference for stable, long-term employment among engineers, particularly in specialized fields such as Data Engineering.
The time to hire distribution for Data jobs in Hungary reveals significant insights for hiring managers and CTOs in the region. A notable 30% of positions are filled within 25 to 30 days, while the bulk of candidates (52%) are hired within a span of 25 to 35 days. This timeline can inform recruitment strategies for hiring Data Engineers in Hungary, particularly in Debrecen, where demand is growing. Additionally, with 74% of roles filled within 40 days, organizations should prepare for an average hiring process that could extend beyond a month, underscoring the importance of efficient recruitment practices to attract top talent in a competitive market.
In Hungary, the distribution of Data Engineer job openings is notably centric to Budapest, which accounts for 92% of the total market with 2,739 positions available. Following behind, Debrecen represents 3% of the job market, with 90 openings, making it a significant yet smaller player in comparison. Other cities like Szeged and remote opportunities show lower percentages, with Szeged holding just 1% at 45 positions. For a visual representation of this data, please refer to the attached chart.
In the evolving landscape of the Data job market in Hungary Debrecen, certain technologies have emerged as pivotal for Data Engineers. According to recent data, SQL is the most utilized technology, appearing 12,023 times, making it an essential skill for candidates. Following closely are Python, with 14,076 occurrences, and ETL processes at 4,444, indicating a strong focus on data manipulation and workflow automation. Additional prominent technologies include AWS with 3,259 frequencies and Azure at 3,117, reflecting the growing demand for cloud expertise. These insights, illustrated in the accompanying chart, underscore the technological competencies that hiring managers must prioritize to attract top talent in the sector.
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