Agency Partners
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The data indicates a fluctuating trend in Data Science Engineering job openings in Romania, with a peak of 105 new positions posted in week 9, following a consistent increase from week 5 through week 10. Over the past weeks, however, the hiring landscape appears to be tightening, culminating in only 2 job openings in week 14. In comparison to the overall European market, where job postings for Data Science roles soared to 2,260 in week 6, the Romanian market showcases a smaller, yet significant demand. This trend suggests that while the Romanian Data Science job market is dynamic, it may lag behind broader European trends, prompting hiring managers, CTOs, and recruiters to refine their recruitment strategies to attract top talent in an increasingly competitive environment.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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IBM | United States of America | It Services And It Consulting | null | 23 |
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Luxoft | Switzerland | Information Technology & Services | 2000 | 22 |
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Canonical | United Kingdom | Information Technology & Services | 2004 | 17 |
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Hipo.ro | Romania | Professional Services | 2006 | 14 |
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VOIS | United Kingdom | Information Technology & Services | 1984 | 13 |
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Undelucram.ro | Romania | Human Resources | 2011 | 9 |
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Outlier | United States of America | Software Development | null | 6 |
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NXP Semiconductors | Netherlands | Semiconductors | 2006 | 6 |
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GlobalLogic | United States | Information Technology & Services | 2000 | 6 |
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BairesDev | United States | Information Technology & Services | 2009 | 5 |
The Data Science Engineers job market trends in Romania present a compelling scenario for hiring managers in the tech industry. With a current job opening count of 2,000 and a talent pool size of 8,000, the ratio stands at 4:1, indicating a competitive landscape. In comparison, countries such as Poland and Germany show similar challenges, with ratios of 3:1 and 2.5:1 respectively, while the Netherlands faces a tighter market at 1.8:1. These figures suggest that while opportunities for Data Science Developer positions are plentiful in Romania, hiring talent may prove difficult due to the relatively high demand. Therefore, recruiters and CTOs should adopt targeted recruitment strategies to effectively tap into this market.
In the current landscape of the Data Science job market in Romania, the Mid-Senior level positions represent a significant percentage, accounting for 78% of all Data Science Engineering roles. Entry level positions follow with 18%, while Associate roles constitute 6%. This seniority distribution highlights the imperative for hiring managers to focus on attracting and retaining Mid-Senior level talent, as they make up the majority of the available workforce.
The employment landscape for engineering roles in Romania reveals a clear preference for full-time positions, comprising 97% of the job market. In contrast, contract roles represent a mere 3% of the distribution, while part-time and internship positions account for only 1% each. This data underscores the strong demand for stable employment in the tech sector, particularly for Data Science Engineers, as hiring managers should consider this preference when developing recruitment strategies.
The time to hire Data Science Engineers in Romania exhibits a diverse distribution, indicating varying recruitment speeds across the market. Notably, the highest frequency falls within the 30-35 day range, with 202 and 184 counts respectively, suggesting that hiring managers may expect an average of around 30 days for ideal candidates. Furthermore, with 202 positions taking approximately 30 days to fill, it highlights a prevalent demand for Data Science talent in the local job market. This timeframe could be crucial for CTOs and Engineering Managers in strategizing timely recruitment of Data Science Developers. Understanding these hiring trends can aid in formulating effective recruitment strategies tailored to the unique dynamics of Romania's tech sector.
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 ReportThe location distribution for Data Science Engineers job openings in Romania reveals a clear preference towards major urban centers. Bucharest leads the market with 57% of the openings, followed by Cluj-Napoca at 10% and Timisoara at 7%. This data emphasizes the dominance of the capital city in the tech recruitment landscape, making it a focal point for hiring managers seeking to tap into the Data Science job market in Romania.
In Romania's Data Science job market, the leading technologies dominate the landscape, as visualized in the accompanying chart. Python emerges as the most prevalent language, used in 13,712 instances, reflecting its critical role in Data Science projects. Following Python, Java holds significant importance with 4,901 usages, while SQL, with 4,796 instances, is vital for data management and manipulation. Additionally, languages such as JavaScript and C++ contribute to the ecosystem with 3,414 and 2,709 occurrences, respectively. These technologies underscore the key competencies that hiring managers must prioritize when seeking Data Science Engineers in Romania's competitive tech sector.
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