Agency Partners
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Over the past 12 weeks, the Belarusian job market for Data Data Science Engineering roles has displayed notable fluctuations. In the last few weeks, only 9 new positions were opened in week 8, with a sharp decline to just 1 position in both weeks 13 and 14. Meanwhile, the job closure rate has been higher, with an average of 2 to 4 positions closed weekly, indicating a challenge in retaining or matching job openings with available talent. Comparatively, other regions in Europe have seen a more stable opening-to-closure ratio for similar roles, suggesting a potential need for consolidated recruitment strategies for CTOs in Belarus's tech sector to enhance talent acquisition efforts.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Mapbox | United States | Information Technology & Services | 2011 | 4 |
|
Extia | France | Information Technology & Services | 2007 | 3 |
|
Talan | France | Information Technology & Services | 2002 | 2 |
|
CAE | United States of America | Semiconductors | 1982 | 1 |
|
Maxbitsolution | null | null | null | 1 |
|
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Talent Spider Human Capital & Concultancy | null | null | null | 1 |
|
|
Section228 | null | null | null | 1 |
|
|
Incognio Technologies | null | null | null | 1 |
|
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LERNA | null | null | null | 1 |
|
Andersen Lab | Poland | Information Technology & Services | 2007 | 1 |
The job market for Data Data Science Engineers in Belarus reflects a challenging landscape for hiring managers. Currently, Belarus has a count of job openings that, when assessed against the available talent pool, yields a high ratio indicating a competitive hiring environment. In contrast, countries like Poland, Germany, and the Netherlands present varying degrees of ease for recruitment, with Poland showing a lower jobs-to-talent pool ratio. This suggests that while there are opportunities within Belarus for Data Data Science Developers, the demand currently surpasses the available workforce, making the recruitment process for CTOs and engineering leaders intricately complex.
In Belarus, the seniority distribution of Data Data Science Engineering jobs reveals significant insights for hiring managers. The majority of positions are at the Mid-Senior level, accounting for 44% of openings, followed by Entry level roles at 33%. Additionally, Associate positions make up 4% of the job market, indicating a strong presence of experienced professionals.
In the Belarusian job market, the majority of engineering roles are classified as full-time positions, accounting for 97% of the total job postings. This is followed by contract roles, which represent a mere 3%, while part-time and internship opportunities each have an equal share of less than 1%. Understanding these employment type distribution trends is crucial for hiring managers looking to optimize their recruitment strategies in Belarus's tech sector.
The time to hire distribution for Data Data Science Engineers in Belarus presents significant insights for hiring managers. A notable segment of candidates, 16 individuals, require up to 30 days for hiring, indicating a swift recruitment cycle in the tech sector. However, as the timeline extends, a decline is observed, with only 2 candidates taking 40 days and fewer for longer durations. This trend highlights the importance of timely recruitment strategies, especially for CTOs seeking to fill Data Science roles effectively in the competitive Belarusian job market.
1. The Data Data Science Engineers job market in Oulu, Finland, has shown notable fluctuations over the past 12 weeks, with a peak of 11 job openings in week 14 contrasted by significant closures, particularly in weeks 9 and 11, indicating a volatile hiring landscape.
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The Data Data Science job market in Turkey shows a highly active recruitment landscape, with significant fluctuations in the number of job openings over the past three months.
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The Data Data Science Engineers job market in Moldova, particularly in Chisinau, is witnessing notable fluctuations, with a total of 38 new positions opened and 52 closed in the last three months, indicating a competitive hiring environment.
View ReportThe data reveals distinct patterns in the location distribution for Data Science Engineer job openings in Belarus. Minsk, as the capital, leads the landscape with 87% of the opportunities, significantly outpacing other cities. Following Minsk, Belarus accounts for 11% of the jobs, while Brest contributes 6%, highlighting the concentration of demand for Data Data Science roles primarily in the capital.
In the Belarusian job market for Data Data Science Engineers, certain technologies are prominently influencing hiring trends. The most sought-after technology is Python, with an impressive frequency of 10,509, followed by Machine Learning at 3,809 and SQL at 3,659. Java ranks high as well, with a frequency of 3,675, while AI, a burgeoning area, stands at 2,262. For hiring managers, understanding these frequencies is crucial, as they represent the technologies that candidates are predominantly familiar with and are likely to leverage in their roles, as illustrated in the accompanying chart.
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