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Over the past 12 weeks, Estonia's Data Science job market has experienced a distinct pattern, with a peak of 47 new jobs in week 5, followed by fluctuations averaging around 20 new postings weekly. In contrast, the job closure rate revealed the challenges in retention, with up to 40 positions closed in certain weeks, highlighting the volatility in the Data Science Engineer hiring landscape. Compared to other roles in Estonia that are witnessing steady openings, Data Science Engineering appears to be competitive, yet the demand still lags significantly behind the overall European context, where data science roles have seen openings reaching up to 2,811 in peak weeks.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 56 |
|
Bolt | Estonia | Software Development | 2013 | 9 |
|
Wise | United Kingdom | Financial Services | 2011 | 5 |
|
Unikie | Finland | Information Technology & Services | 2015 | 3 |
|
Outlier | United States of America | Software Development | null | 3 |
|
Starship Technologies | United States | Consumer Services | 2014 | 3 |
|
Plummy Games | Estonia | Computer Games | 2020 | 3 |
|
Yolo Group | Estonia | It Services And It Consulting | 2014 | 3 |
|
IQVIA | United States | Hospital & Health Care | 1954 | 3 |
|
Games Global | Isle of Man | Gambling Facilities And Casinos | 2021 | 3 |
The Data Science Engineer job market in Estonia showcases a competitive landscape, with a current job openings-to-talent pool ratio that reflects the challenges faced by hiring managers. Estonia has a notable number of job openings, yet the talent pool size remains relatively constrained, making it more difficult to secure skilled professionals. In comparison, countries like Germany, the Netherlands, and the United Kingdom exhibit larger talent pools relative to their job openings, indicating a more favorable environment for recruitment. Consequently, hiring managers in Estonia may need to adopt innovative recruitment strategies to attract Data Science Engineers, especially as future demand for Data Science talent continues to rise.
The seniority distribution for Data Science Engineering roles in Estonia reveals a significant demand for Mid-Senior level professionals, accounting for 58% of the job market, followed by Entry level positions at 31%, and Associates comprising 3% of the available roles. This distribution indicates that hiring managers, especially CTOs and Engineering Managers, should focus on attracting and retaining Mid-Senior talent to address the evolving needs within the Data Science job market in Estonia.
In Estonia's burgeoning tech sector, the employment type distribution for engineering roles reveals a significant preference for full-time positions, comprising 96% of the job market. Contract roles follow, accounting for 4% of available positions, while part-time opportunities are minimal at just 1%. This distribution highlights the strong demand and commitment to full-time Data Science Engineer roles, essential for fulfilling the future demand for Data Science Engineers in Estonia.
The time to hire Data Science Engineers in Estonia exhibits a diverse distribution that can inform hiring strategies. The largest segment falls within the 30 to 35-day range, accounting for 55 and 57 placements, respectively. Notably, 22 positions were filled within 15 days, indicating a swift hiring process for certain candidates. However, delays can extend hiring times significantly, with counts of 43 for 25 days and 37 for 45 days. Understanding these trends will be crucial for CTOs and hiring managers as they navigate the competitive landscape of the Data Science job market in Estonia.
The Data Science job market in the Netherlands indicates a total of 40 new job postings within a week, with a competitive landscape reflected in the closure of up to 39 positions in a single week.
View ReportThe talent pool for Data Science Engineers in Estonia is relatively constrained, making the hiring landscape competitive despite a substantial number of job openings.
View Report
The Data Science job market in Lithuania exhibits significant competition, with a talent pool of 800 professionals against 200 job openings, resulting in a jobs-to-talent pool ratio of 4.0.
View ReportIn Estonia, the location distribution for Data Science Engineers job openings reveals that Tallinn leads significantly, accounting for 75% of the total job listings at 437. Following Tallinn, Tartu represents 17% with 105 positions available. Notably, the combined opportunities for other regions contribute marginally, with only 8% of the openings located in various areas outside the main cities, as illustrated in the accompanying chart.
In analyzing the Data Science job market trends in Estonia, several technologies emerge as pivotal to the landscape. Python stands out as the most utilized technology, with a significant frequency of 13,712, reflecting its dominance in Data Science and Machine Learning roles. Following closely, Java holds a substantial presence with 4,901 mentions, indicative of its enduring relevance in enterprise-level applications. Machine Learning technologies, with 4,835 occurrences, highlight the growing integration of AI capabilities in Data Science projects. SQL, with 4,796 mentions, is essential for data manipulation and management, while frameworks such as React and Kubernetes also play crucial roles in job postings. For visual representation, please refer to the accompanying chart which details these data points.
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