Data Science Developer Hiring Trends in Vilnius, Lithuania

This report was last updated on Aug 16, 2025

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 Engineer job market in Lithuania, particularly in Vilnius, showcases dynamic trends with a significant number of job openings and closures over the past three months. The peak demand illustrated by 19 new job openings in week 27 emphasizes the growing interest in Data Data Science skills.
Vilnius is the epicenter of this market, accounting for 76% of the total job openings in Lithuania with 1,645 available positions, followed by Kaunas with 14% and Klaipeda with just 1%. This concentration highlights the capital's pivotal role in shaping recruitment strategies for technology leaders.
Python is the most demanded skill among Data Science Engineers, with 5,846 mentions, followed by Machine Learning and SQL, indicating the key technologies that hiring managers should prioritize when assessing candidates.
The hiring landscape is competitive, with a median time to hire of 33 days for Data Engineers in Lithuania, and 54% of job openings targeting mid-senior level professionals, which suggests a robust market that may require strategic recruitment adjustments for successful placement.
Recruiters and CTOs should also note that 96% of available roles are full-time positions, emphasizing the need to approach the talent marketplace with an understanding of employment preferences to effectively attract senior Data Data Science Developers in Lithuania.

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

In the past weeks, the Data Data Science Engineer job market in Lithuania, specifically in Vilnius, has shown a fluctuating trend. During week 27, the peak of new job openings reached 19, significantly surpassing the average weekly postings seen in prior weeks, highlighting a surge in demand for Data Data Science skills. However, this boom is tempered by an increase in closed positions, peaking at 16 in week 31, which raises questions about retention and the longevity of these roles. Compared to other regions in Europe, Lithuania Vilnius is experiencing notable growth in Data Data Science roles, yet the volatility indicates that hiring managers should consider strategic approaches to maintain competitive advantage in talent acquisition.

Who else is hiring for data Engineers in Lithuania:

Company name	Country	Industry	Founded	# Job openings
EPAM Systems	United States	Information Technology & Services	1993	17
Accenture Baltics	null	null	null	10
Canonical	United Kingdom	Information Technology & Services	2004	7
Hostinger	Lithuania	Information Technology & Services	2004	7
Nord Security	Turkey	Computer & Network Security	2012	6
Bentley Systems	United States	Information Technology & Services	1984	5
Danske Bank	Denmark	Financial Services	1871	4
Registrų centras	Lithuania	Information Technology & Services	1997	4
Exadel	United States	Information Technology & Services	1998	3
Axelera AI	Netherlands	Semiconductors	2021	3

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Talent pool vs job openings for Data Engineers in Lithuania

How competitive it is to hire Data Engineers in Lithuania

The talent market for Data Data Science Engineers reflects significant variations across Europe, particularly when comparing Lithuania to other countries. In Lithuania, the number of job openings in the Data Data Science sector is prominent; however, the talent pool is also sizable, leading to a favorable jobs-to-talent ratio. For instance, countries like Germany and the United Kingdom exhibit a larger number of job openings but face a tighter talent scarcity. Additionally, Poland shows similar trends with a high demand for talent investment. Therefore, while hiring Data Data Science Engineers in Lithuania might present some challenges, relative to Germany and the UK, it is still comparatively easier to find qualified talent in the Lithuanian market.

Seniority distribution of Data Science Engineer job openings in Vilnius

Seniority Distribution of Data Science Engineering Jobs in Vilnius

The seniority distribution of Data Data Science Engineering jobs in Lithuania's capital, Vilnius, reveals that 54% are at the Mid-Senior level, followed by 30% at the Entry level, and 8% holding Associate positions. This data suggests a robust market for mid-level professionals, which may influence recruitment strategies for CTOs and tech leads looking to fill roles effectively.

Preferred employment type for Engineering roles in Lithuania

In Lithuania, the employment landscape for Data Science Engineers is predominantly characterized by full-time positions, which make up 96% of available roles. Contract positions account for 4%, while part-time roles represent a minor segment at 2%. Understanding this distribution is crucial for hiring managers aiming to attract top talent in the competitive tech industry.

Time to Hire Distribution for Data in Lithuania

How long does it take to hire Data Engineers

The time to hire distribution for Data roles in Lithuania reveals significant trends that hiring managers should consider. A notable concentration of candidates, specifically 137, are hired within a 30-day timeframe, indicating a competitive market for Data Science Engineers in Vilnius. Further analysis shows that 75 candidates are hired at the 25-day mark, demonstrating a robust demand for top talent. However, as the hiring window extends beyond 45 days, represented by 46 candidates at 45 days and a notable reduction to just 5 at 100 days, it becomes essential for CTOs and recruiters to adapt their recruitment strategies to align with these hiring trends. This data emphasizes the urgency to attract and retain senior Data Science Developers who are increasingly sought after in Lithuania's tech sector.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineer Engineers in Denmark

The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.

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Insights for hiring Data Science Engineers in Sweden

The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.

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Insights for hiring Data Engineers in Warsaw

The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.

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Most popular cities in Lithuania to hire Data Engineers

Top 5 cities in Lithuania to hire Data Engineers

The data reveals that Vilnius dominates the Data Science Engineer job market in Lithuania, accounting for 76% of the total openings with 1,645 positions. Following Vilnius, Kaunas encompasses 14% of the job market with 326 available roles. The city of Klaipėda contributes a mere 1% with 24 job listings. This distribution underscores the capital's significant role in shaping the Data Data Science job market in Lithuania, particularly in Vilnius.

Most sought after technologies in Vilnius for Data Science

Key technologies for Data Science Engineers

In the Data Data Science job market trends in Lithuania, particularly in Vilnius, several technologies stand out based on their frequency of usage. Python leads the pack, with a significant presence at 5,846 mentions, underscoring its essential role in data analytics and machine learning. Machine Learning follows closely with 3,002 mentions, reflecting the growing emphasis on AI-driven solutions. SQL is also pivotal, recorded at 2,078 mentions, illustrating its foundational importance in data manipulation and retrieval. Java, with 1,689 mentions, and Data Science, noted 1,671 times, further emphasize the demand for robust programming skills in managing and analyzing data. A detailed chart accompanying this analysis highlights these technologies, providing a clear visual representation of their relevance in the current job market.

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