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.
In the past twelve weeks, the job market for Data Data Science Engineers in Estonia, specifically Tartu, has exhibited a modest fluctuation. Notably, weeks 10 to 14 saw a peak of three new positions being posted, followed by a substantial decline with only one new job listed in week 18. Meanwhile, job closures have been notably higher, particularly in week 11 when seven positions were closed, indicating a competitive landscape for potential candidates. In comparison to other roles within Estonia, the disparity between openings and closures suggests a discerning hiring environment for Data Data Science Developers, potentially reflective of broader trends observed across Europe's technology landscape.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 50 |
|
Bolt | Estonia | Information Technology & Services | 2013 | 18 |
|
Wise | United Kingdom | Financial Services | 2011 | 10 |
|
Pipedrive | United States | Information Technology & Services | 2010 | 6 |
|
Agoda | Singapore | Information Technology & Services | 2005 | 4 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 4 |
|
Trimble Inc. | United States | Information Technology & Services | 1978 | 3 |
|
Ruby Labs | United States | Information Technology & Services | 2018 | 3 |
|
Paradox EN | France | Education Management | null | 2 |
|
Elcogen | Estonia | Renewable Energy Equipment Manufacturing | 2001 | 2 |
The job market for Data Data Science Engineers in Estonia is reflective of the broader European landscape, marked by a competitive ratio of job openings to available talent. Estonia currently reports a talent-to-job opening ratio of X, indicating the level of ease or difficulty in hiring. In comparison, countries such as Germany, France, and the Netherlands have similar or differing ratios of Y, Z, and W respectively. This context suggests that while Estonia offers strong potential for Data Data Science job market growth, the limited number of candidates relative to the demand might pose challenges for CTOs and hiring managers in the region. As such, strategic recruitment approaches are essential for securing top talent in the competitive Estonian tech sector, particularly in hubs like Tartu.
In the Data Data Science job market in Estonia Tartu, the seniority distribution reveals that 59% of positions are at the Entry level, while 38% are classified as Mid-Senior level. Additionally, Internship roles make up 2% of the total job offerings. Understanding these trends in hiring Senior Data Data Science Developers is crucial for CTOs and recruiters aiming to attract talent in the region.
In Estonia's tech landscape, the employment type distribution for engineering roles reveals a significant preference for full-time positions, accounting for 93% of the market. Contract roles follow, representing 7% of the employment type mix, while part-time opportunities comprise 3% of the total. This prevalence of full-time engagements highlights the demand for stability and commitment in the rapidly evolving field of Data Science Engineering.
The time to hire for Data Science roles in Estonia reveals critical insights for hiring managers aiming to navigate the competitive job market in Tartu. A significant cluster of 103 hires occurs at the 30-day mark, followed by 74 hires at 35 days, indicating that most candidates are typically secured within the first month to just over five weeks. However, a notable decline is observed for hires exceeding 40 days, with only 32 hires at the 40-day threshold and fewer thereafter. This pattern emphasizes the necessity for efficient recruitment strategies, especially for CTOs and team leads, to capitalize on the swift availability of qualified Data Science Engineers in the Tartu region.
The current talent pool for Data Data Science Engineers in Estonia, particularly in Tartu, is competitive, with significant challenges noted in the hiring landscape. In the past three months, Tartu saw fluctuations in job openings, with a total of three positions peaking in one week and a concerning number of closures indicating a discerning hiring environment.
View Report
The Data Engineers job market trends in Switzerland Zug indicate a fluctuating yet competitive environment, highlighted by the closure of 11 positions in a single week, necessitating strategic recruitment approaches.
View Report
The Data Engineer job market in Romania's Ilfov region is characterized by fluctuating activity, with a peak of 9 new job postings in week 14, highlighting the need for robust recruitment strategies.
View ReportIn the analysis of the Data Data Science Engineers job market in Estonia, Tallinn emerges as the leading city with 67% of job openings, while Tartu contributes 16% to the overall market. The remaining cities, including broader estimations within Estonia and remote opportunities, make up the rest, highlighting Tartu's significance in this dynamic job landscape. This data, illustrated in the accompanying chart, underlines the concentrated demand for Data Data Science roles within urban centers, particularly in Estonia's capital.
In the dynamic landscape of the Data Data Science Engineer job market, particularly in Estonia's Tartu region, several technologies are proving to be indispensable. The most frequently utilized technology is Python, demonstrating a significant frequency of 9833, indicating its prevalent application in data science projects. Close behind, SQL shows a robust frequency of 3434, underscoring its central role in data management and analysis. Additionally, technologies such as Machine Learning and AI, with frequencies of 3669 and 2212 respectively, highlight the growing importance of intelligent systems in data-driven decision-making. This data is visually represented in the accompanying chart, providing further insights into technology trends that hiring managers should consider when recruiting Data Science talent.
We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.