Agency Partners
I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.
The Data Data Science Engineer job market in Belarus demonstrates a nuanced landscape characterized by a modest weekly opening rate, with only 1 new position posted in the last two weeks. Conversely, the closure of jobs reveals a more dynamic scenario, with a total of 20 positions closed over the same period. This substantial discrepancy highlights a competitive environment for tech talent, as the demand for Data Data Science Engineers increasingly outpaces supply. Compared to other roles in Belarus and across Europe, this trend indicates a pressing need for effective recruitment strategies tailored for CTOs and hiring managers aiming to secure top talent in the realm of Data Data Science.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Talan | France | Information Technology & Services | 2002 | 2 |
|
Mapbox | United States | Information Technology & Services | 2011 | 2 |
|
Extia | France | Information Technology & Services | 2007 | 1 |
|
Tripledot Studios | United Kingdom | Computer Games | 2017 | 1 |
|
Maxbitsolution | null | null | null | 1 |
|
Talent Spider Human Capital & Concultancy | United Arab Emirates | Human Resources | null | 1 |
|
Remote | United States | Human Resources | 2019 | 1 |
|
|
Section228 | null | null | null | 1 |
|
Andersen Lab | Poland | Information Technology & Services | 2007 | 1 |
|
|
IDT Corporation | United States | Telecommunications | 1990 | 1 |
The Data Data Science job market in Belarus presents a unique landscape for hiring managers navigating the recruitment strategies for CTOs in the region. With a ratio of talent pool to job openings suggesting a more competitive environment for hiring, the analysis shows that Belarus has a jobs-to-talent pool ratio that is less favorable than other countries like Poland, where the demand for Data Data Science Engineers reflects an easier hiring process, and Germany, which boasts a larger yet similarly competitive talent pool. This indicates that the recruitment of Senior Data Data Science Developers in Belarus may require more strategic approaches than in regions with a greater number of available candidates per vacancy, thereby shaping the future demand for Data Data Science Engineers in Belarus as a critical consideration for tech leaders.
In the Belarusian job market for Data Data Science Engineering, the seniority distribution reveals a clear hierarchy. The Mid-Senior level positions account for 46% of available roles, followed by Entry level jobs at 36%. Associate roles represent a smaller segment with 8%, highlighting a demand for experienced professionals in this field.
In the Belarusian job market for Data Data Science Engineers, the predominant employment type is full-time positions, which account for 96% of the openings. Contract roles follow at 4%, while part-time opportunities represent just 3%. This distribution highlights a strong preference for stable, long-term employment in the Data Data Science sector, providing insight for hiring managers looking to attract top talent.
Analyzing the time to hire distribution for Data Data Science Engineers in Belarus reveals critical insights for hiring managers. Notably, the most common hiring timeline, with 12 occurrences, falls within the 30-day range, indicating a favorable timeline for recruitment in the tech sector. Following closely, the 35-day bracket, with 10 occurrences, suggests that while most positions may be filled promptly, there is still a segment requiring a more extended hiring process. This data is essential for CTOs and engineering managers crafting recruitment strategies, as it highlights a preference for shorter hiring cycles but also indicates the potential for extended sourcing of specialized talent.
The Data Data Science job market in Estonia has experienced notable fluctuations over the past three months, with a peak of 9 new job openings in week 20, but only 1 new opening in week 23 and weeks 26 and 27, highlighting challenges in retaining talent in this competitive sector.
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The Data Engineers job market in Sweden, particularly in Solna, has shown fluctuating trends, with 10 new job openings reported in week 19, followed by significant declines, indicating a net decline in available positions.
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The job market for Data Engineers in Portugal is currently experiencing a robust demand, with a notable increase in openings, peaking at 31 new roles posted in week 27, indicating significant opportunities for Data Data Engineer candidates.
View ReportIn analyzing the location distribution for Data Engineers job openings in Belarus, we find that Minsk leads significantly, accounting for 87% of the total job postings. Following Minsk, the cities of Brest and Hrodna represent 6% and 2% of the openings, respectively, while only a small percentage remains for remote opportunities. This data underscores the concentration of demand within the capital, as depicted in the accompanying chart.
In the rapidly evolving Data Data Science job market in Belarus, Python emerges as the most frequently utilized technology, with a significant usage frequency of 8,125. Following closely is SQL, which is essential for database management, with 2,802 instances noted. Machine Learning technologies are also pivotal, demonstrating a frequency of 3,463, underlining their importance in data analysis and predictive modeling. Additionally, Java ranks third among the most employed technologies with 2,786 occurrences, indicating its relevance in building robust applications. These findings are visually summarized in the accompanying chart, reflecting the current trends in hiring Senior Data Data Science Developers in Belarus.
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