Agency Partners

Data Science Developer Hiring Trends in Vilnius, Lithuania

This report was last updated on Sep 6, 2025

Bence Gedai / Founder

Bence Gedai

Founder

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.

Key learnings from this report

  • The Data Data Science Engineers job market in Vilnius has shown significant fluctuations with a peak of 19 new job postings and high closures, indicating a reactive demand influenced by project-based needs.
  • In terms of technology, Python is the leading skill with 5,169 mentions, followed by SQL and Machine Learning, highlighting the essential competencies required for Data Data Science roles.
  • The job market reflects a strong preference for mid-senior level professionals, constituting 57% of roles, and showcasing the integration of new talent, with entry-level positions making up 34%.
  • Vilnius dominates the Data Engineers job market, accounting for 86% of openings, highlighting its role as the primary hub for Data Data Science engineering talent in Lithuania.
  • The competitive landscape for hiring Data Data Science Engineers necessitates innovative recruitment strategies, particularly as the median time to hire is 33 days, making it critical for CTOs and hiring managers to act swiftly.
Number of roles opened and closed for Data Science Engineers in Vilnius in the last 3 months

Number of roles opened and closed for Data Science Engineers in Vilnius in the last 3 months

The Data Data Science Engineer job market in Vilnius has shown significant fluctuations over the past 12 weeks, with a peak of 19 new job postings in week 27. However, job closures have also been notable, with the highest number reaching 16 in week 31, indicating potential volatility in the hiring landscape. Compared to other roles in Lithuania, such as software developers, the demand for Data Data Science Engineers appears to be more reactive, potentially influenced by project-based needs. Across Europe, similar trends reflect challenges in retaining these skilled positions, signaling a critical need for effective recruitment strategies tailored for CTOs and hiring managers in Lithuania's evolving tech sector.

Who else is hiring for data Engineers in Lithuania:

Company name Country Industry Founded # Job openings
EPAM Systems logo EPAM Systems United States Information Technology & Services 1993 29
Accenture Baltics logo Accenture Baltics null null null 10
Canonical logo Canonical United Kingdom Information Technology & Services 2004 8
Exadel logo Exadel United States Information Technology & Services 1998 6
Telia logo Telia Sweden Telecommunications 1853 6
Bentley Systems logo Bentley Systems United States Information Technology & Services 1984 4
Hostinger logo Hostinger Lithuania Information Technology & Services 2004 4
Nord Security logo Nord Security Turkey Computer & Network Security 2012 4
Danske Bank logo Danske Bank Denmark Financial Services 1871 3
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 3

Here are a few specialized data agencies you can trust:

Logo of recommended agencyLogo of recommended agencyLogo of recommended agency
Want to get personalized matches? Get started
Talent pool vs job openings for Data Engineers in Lithuania

How competitive it is to hire Data Engineers in Lithuania

The Data Data Science Engineers job market trends in Lithuania, particularly in Vilnius, showcase a challenging landscape for hiring managers. With a ratio of job openings to the talent pool indicating a competitive environment, Lithuania currently presents more difficulties compared to neighboring countries like Poland and Latvia, where the talent supply is more balanced. In contrast, countries like Germany exhibit a higher number of job openings, yet a more constrained talent pool, leading to intensified competition among employers. Therefore, CTOs and recruitment teams in Lithuania may need to implement innovative recruitment strategies to attract Senior Data Data Science Developers, as opportunities for Data Data Science Developer positions become increasingly competitive.

Seniority distribution of Data Science Engineer job openings in Vilnius

Seniority Distribution of Data Science Engineering Jobs in Vilnius

In the Data Data Science Engineering job market in Lithuania Vilnius, the seniority distribution highlights significant trends. Mid-Senior level positions constitute 57% of available roles, followed by Entry level at 34%, and Associate roles at 9%. This distribution indicates a strong preference for experienced professionals, while also allowing for the integration of new talent in the field.

Chart about preferred employment type for Engineering roles in Lithuania

Preferred employment type for Engineering roles in Lithuania

In Lithuania, the employment landscape for engineering roles showcases a dominant preference for full-time positions, comprising 96% of the market. Contract roles represent a modest share at 2%, while part-time opportunities account for approximately 1%. This distribution highlights the stability sought by employers in the tech sector, particularly in the context of the Data Data Science Engineers' job market trends in Lithuania, specifically in Vilnius.

Time to Hire Distribution for Data in Lithuania

How long does it take to hire Data Engineers

The time to hire for Data Science Engineers in Lithuania, particularly in Vilnius, reveals significant insights for hiring managers in the tech sector. The majority of candidates are hired within 30 to 50 days, with 114 positions filled in 30 days and 66 in 25 days. This indicates a competitive landscape, requiring proactive recruitment strategies. A notable decline is seen after the 50-day mark, suggesting that delays in the hiring process may deter top talent. Understanding these trends is critical for CTOs and engineering managers to optimize their recruitment strategies and attract qualified Data Science talent.

Most popular cities in Lithuania to hire Data Engineers

Top 5 cities in Lithuania to hire Data Engineers

In Lithuania, the distribution of Data Engineers job openings highlights the predominance of the capital, Vilnius, which accounts for 86% of the total job listings. Following Vilnius, Kaunas represents 17% of the openings, while the remaining cities show significantly lower engagement, with Lithuania itself comprising just 8% of the total opportunities. This stark contrast emphasizes the capital's role as the primary hub for Data Data Science engineering talent in the region.

Most sought after technologies in Vilnius for Data Science

Key technologies for Data Science Engineers

In the Data Data Science job market, particularly in Lithuania's capital, Vilnius, a clear trend emerges with several technologies standing out in frequency of use. Python leads the pack with 5,169 mentions, emphasizing its pivotal role in data analysis and machine learning tasks. Following closely are SQL and Machine Learning, with 1,822 and 2,883 occurrences, respectively, showcasing the importance of robust data querying and predictive modeling capabilities. Java, with 1,337 uses, and .NET, with 1,250, indicate a solid foundation in software development skills. For hiring managers, especially in the tech sector, understanding these prevalent technologies is essential when seeking to attract top talent in Data Data Science roles. Please refer to the accompanying chart for a visual representation of these trends.

Have a great project in mind?

We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.