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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 Estonia has experienced a fluctuating pattern in the last 12 weeks, with notable peaks and troughs in job openings. Over this period, the number of new job postings surged to a high of 9 positions in week 20, followed by a significant drop to just 1 opening in week 23. Despite these fluctuations, the hiring landscape reveals a contrasting scenario when compared to closed positions, with a consistent number of job closures averaging around 8 per week. This discrepancy suggests a tightening labor market for Data Data Science Engineers in Estonia, leading to a competitive recruitment environment, particularly as the future demand for Data Science roles continues to escalate. Hiring managers and CTOs should adopt adaptive recruitment strategies to attract top talent amidst these emerging trends, ensuring alignment with longer-term business objectives.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 16 |
|
Bolt | Estonia | Information Technology & Services | 2013 | 15 |
|
Wise | United Kingdom | Financial Services | 2011 | 7 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 4 |
|
Ruby Labs | United States | Information Technology & Services | 2018 | 4 |
|
Kuehne+Nagel | Switzerland | Logistics & Supply Chain | 1890 | 3 |
|
Pipedrive | United States | Information Technology & Services | 2010 | 3 |
|
Keyrock | Belgium | Financial Services | 2017 | 2 |
|
Veriff | United States | Information Technology & Services | 2015 | 2 |
|
Paradox EN | France | Education Management | null | 2 |
The current landscape for Data Data Science Engineers in Estonia reveals a competitive hiring environment when compared to other European countries. For instance, Estonia has a talent pool of 1,500 professionals against 300 job openings, resulting in a jobs-to-talent pool ratio of 5:1. This contrasts with countries like Germany and the Netherlands, where the ratios are more favorable for hiring managers, at 10:1 and 8:1 respectively. Furthermore, in Poland, the ratio stands at 6:1, indicating a slightly easier hiring climate. As such, hiring talent in Estonia may prove challenging for CTOs and Engineering Managers, necessitating robust recruitment strategies to attract the right candidates in this increasingly demanding job market.
In the Data Data Science engineering job market in Estonia, the seniority distribution reveals significant insights for hiring managers. Approximately 55% of positions are categorized as Mid-Senior level, making it the most prevalent seniority tier. Entry level roles constitute around 29% of the market, while internships account for about 3%. Such distribution suggests a strong demand for experienced Data Data Science engineers, which is crucial for shaping effective recruitment strategies for CTOs and tech leaders.
The employment landscape for Data Science Engineers in Estonia is predominantly characterized by full-time roles, which constitute 93% of the job market. Contract positions represent a smaller segment at 7%, while part-time roles account for just 3%. These statistics highlight the strong preference for full-time employment in the Data Science sector, suggesting a robust market demand for skilled professionals.
The time to hire Data Science Engineers in Estonia demonstrates a notable distribution, with a significant concentration of roles filled between 25 to 35 days, accounting for 128 hires. Only 1 hire was made in zero days, indicating that immediate placements are rare. A total of 59 positions took roughly 15 days, highlighting the urgency in certain recruitment scenarios. As hiring managers evaluate the job market trends, understanding this distribution can inform recruitment strategies, especially for Senior Data Data Science Developers in Estonia, where demand is expected to remain strong.
The Data Data Science job market in Estonia has shown significant activity in recent months, with fluctuations in job openings that reached a peak of 9 positions in week 20, followed by a decline to just 1 opening in week 23. This trend indicates a tightening labor market, suggesting that hiring managers may find it increasingly competitive to secure top talent.
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The Data Engineer job market in Uppsala, Sweden, has shown dynamic activity over the past three months, with 19 new roles posted while 22 positions were closed, indicating a competitive environment.
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The Data Engineers job market trends in Portugal, particularly in Lisbon, exhibit a competitive landscape with 1,161 job openings predominately in the capital, representing 89% of opportunities across the country.
View ReportIn the Data Science job market in Estonia, Tallinn leads with a significant 79% of the total job openings, clearly highlighting the capital's dominance in the sector. Following Tallinn, Tartu accounts for 18% of the opportunities, while remote positions contribute to 3%. This concentration of roles in Tallinn illustrates the city's critical role in attracting Data Data Science Engineers and the potential for recruitment strategies tailored to this urban landscape.
The current Data Data Science job market in Estonia showcases a diverse array of technologies that are integral to the roles within this domain. Notably, Python emerges as the most utilized programming language, with a significant usage frequency of 8007, followed by Machine Learning at 3416 and SQL at 2756, underscoring their critical importance in data analysis and software development. Java, with 2739 occurrences, also plays a vital role, complemented by JavaScript's presence at 1846. Other notable technologies include C# at 1137 and .NET at 1250, which are frequently employed in Data Data Science applications. Employers should refer to the accompanying chart for a comprehensive visual representation of these technology trends, assisting in the understanding of essential skills for prospective candidates.
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