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In the past 12 weeks, the job market for Data Data Science Engineers in Oulu, Finland, exhibited notable fluctuations. A peak of 11 new jobs was posted in week 14, signaling a potential upturn in demand. However, this was juxtaposed with a concerning number of job closures, particularly in weeks 9 (7 closures) and 11 (7 closures), indicating a mismatch between openings and actual hiring. In comparison to other roles in Oulu, the hiring landscape for Data Data Science positions appears more volatile, reflecting unique market challenges. These insights are crucial for CTOs and hiring managers seeking to refine their recruitment strategies in this evolving sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 15 |
|
Nokia | Finland | Telecommunications | 1865 | 12 |
|
Tietoevry | Finland | Information Technology & Services | 2019 | 10 |
|
Outlier | United States | Information Technology & Services | 2023 | 10 |
|
Huawei | China | Telecommunications | 1987 | 7 |
|
Wärtsilä | Finland | Machinery | 1834 | 6 |
|
Nortal | Estonia | Information Technology & Services | 2000 | 5 |
|
|
University of Eastern Finland | null | null | null | 5 |
|
Reaktor | Finland | It Services And It Consulting | 2000 | 5 |
|
twoday | United States | Information Technology & Services | 2022 | 5 |
The job market for Data Data Science Engineers in Finland, particularly in Oulu, is currently characterized by a competitive landscape. With a notable number of job openings, the ratio of available talent to positions indicates a challenging hiring environment. Comparatively, countries like Germany and the Netherlands show a more favorable ratio, making recruitment comparatively easier there. In contrast, Finland's talent pool for Data Data Science roles remains limited relative to the demand, suggesting that hiring managers may face difficulties in securing top candidates. Additionally, as recruitment strategies evolve, CTOs in Finland's tech sector will need to innovate to attract and retain Data Data Science Developers amidst emerging trends and heightened competition from other European markets.
In Oulu, the seniority distribution for Data Data Science Engineering jobs reveals a compelling landscape. Notably, 61% of the positions are classified as Mid-Senior level, followed by 28% at the Entry level. Additionally, Internship roles account for 3% of the market. This distribution highlights the demand for seasoned professionals, emphasizing the importance for hiring managers to strategize their recruitment efforts accordingly.
In Finland, the employment type distribution for engineering roles reveals that a significant majority are full-time positions, comprising 94% of the job market. Contract roles represent 6%, while part-time opportunities account for 3%. This distribution highlights the predominance of full-time employment, underscoring the stability and commitment expected from Data Data Science Engineers in Finland's competitive job market.
The time to hire distribution for Data Data Science Engineers in Finland indicates a trend of increased durations, reflecting the competitive landscape of the job market in Oulu. Notably, the majority of hires occur within the 25 to 35 day range, with a significant count of 138 candidates hired at the 25-day mark and 303 at 30 days. This pattern suggests that recruitment strategies should be optimized for quicker decision-making, as the accumulation of candidates at later timeframes—evident with 195 hires at 35 days—may impact the quality and retention of talent. To address these trends, hiring managers, including CTOs and Engineering Managers, should consider agile hiring practices to capture the growing demand for Data Data Science Developers in Finland, particularly in Oulu.
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 ReportIn Finland, the location distribution for Data Engineers job openings reveals significant concentrations in key cities. Helsinki leads with 53% of the total job openings, followed by Espoo at 15% and Tampere at 10%. Oulu, with 8% of the openings, highlights its role as an emerging hub for Data Data Science Engineer opportunities in Finland.
In the evolving landscape of the Data Data Science job market, especially in regions like Finland and Oulu, certain technologies have emerged as fundamental to the role. Python leads the way with a significant usage frequency of 10,509, followed by Machine Learning at 3,809, and SQL with 3,659. Java, another crucial technology, stands at 3,675, while AI is also noteworthy with a frequency of 2,262. For hiring managers and CTOs, understanding these prevalent technologies is paramount, as pinpointed in the accompanying chart.
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