Data Science Developer Hiring Trends in Lithuania

This report was last updated on Aug 9, 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 job market in Lithuania is experiencing significant volatility, with 25 new job postings in week 27 and 48 positions closed in week 30, indicating a challenging environment for hiring managers.
A notable 5,000 professionals comprise the talent pool for Data Data Science Engineers in Lithuania, with 1,200 available job openings, leading to a competitive ratio of 4.17 candidates per position.
Mid-Senior level roles constitute 48% of the market for Data Data Science Engineering jobs, emphasizing the focus on mid-level expertise that hiring managers should consider when crafting their recruitment strategies.
Vilnius stands out as the primary hub for Data Data Science Engineers, accounting for approximately 79% of job openings, followed by Kaunas with 15%, highlighting the geographic concentration of talent within the country.
The median time to hire for Data Data Science Engineers in Lithuania is 33 days, indicating a typical hiring window of 30 to 50 days, underscoring the importance of efficient recruitment strategies for CTOs in the competitive landscape.

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

Over the past twelve weeks, the Data Data Science Engineer job market in Lithuania has shown significant volatility, with a peak of 25 new jobs posted in week 27. In contrast, job closings spiked dramatically in week 30, with 48 positions closed, highlighting a potential mismatch between supply and demand. This discrepancy illustrates a challenging environment for hiring managers. Compared to other tech roles in Lithuania, the Data Data Science sector appears to have a more dynamic landscape, indicating the need for refined recruitment strategies for CTOs navigating this competitive market.

Who else is hiring for data Engineers in Lithuania:

Company name	Country	Industry	Founded	# Job openings
EPAM Systems	United States	Information Technology & Services	1993	16
Accenture Baltics	null	null	null	10
Hostinger	Lithuania	Information Technology & Services	2004	7
Nord Security	Turkey	Computer & Network Security	2012	7
Canonical	United Kingdom	Information Technology & Services	2004	6
Danske Bank	Denmark	Financial Services	1871	5
Bentley Systems	United States	Information Technology & Services	1984	5
Exadel	United States	Information Technology & Services	1998	4
Registrų centras	Lithuania	Information Technology & Services	1997	4
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 Data Data Science Engineers job market trends in Lithuania indicate a challenging hiring environment when compared to other European countries. With a talent pool of 5,000 professionals and 1,200 job openings, Lithuania shows a ratio of 4.17 talent candidates per available position. In contrast, Poland, with a talent pool of 10,000 and 2,000 job openings, offers a more favorable ratio of 5.0, while Estonia presents an even more competitive landscape at 6.0. Similar trends in the Netherlands reveal a ratio of 3.5, highlighting the demand for Data Data Science Developers across the continent. As a result, crafting effective recruitment strategies for CTOs in Lithuania’s tech sector is crucial, as securing qualified Data Data Science Engineers may prove more arduous compared to neighbors like Poland and Estonia.

Seniority distribution of Data Science Engineer job openings in Lithuania

Seniority Distribution of Data Science Engineering Jobs in Lithuania

In Lithuania's Data Data Science Engineering job market, the seniority distribution reveals significant insights for hiring managers. The Mid-Senior level positions dominate the landscape, accounting for 48% of the available roles. Entry level jobs represent 28% of the market, while Internship positions make up 8%. This distribution indicates a strong focus on mid-level expertise, which is crucial for CTOs and Engineering Managers to consider when shaping their recruitment strategies in Lithuania's technology sector.

Preferred employment type for Engineering roles in Lithuania

In Lithuania, the employment landscape for engineering roles is predominantly characterized by full-time positions, which constitute a substantial 92% of the job market. Contract roles account for 4% of the employment type distribution, while part-time positions represent 2%. This distribution highlights the strong preference for stable employment among candidates, a vital consideration for hiring managers looking to attract Data Data Science Engineers in Lithuania.

Time to Hire Distribution for Data in Lithuania

How long does it take to hire Data Engineers

The time to hire distribution for Data Data Science Engineers in Lithuania reveals important insights for hiring managers in the tech industry. Notably, the most prominent hiring windows are between 30 to 50 days, with the highest count at 150 candidates taking 30 days, followed by 65 candidates at 15 days. This suggests a trend towards a 30-day hiring cycle for Data Data Science Developer opportunities in Lithuania, emphasizing the importance of efficient recruitment strategies. Additionally, the presence of candidates taking longer to hire indicates potential bottlenecks in the hiring process that CTOs and Engineering Managers may need to address. Understanding these hiring trends can help organizations better position themselves in the competitive Data Data Science job market in Lithuania.

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 distribution of Data Engineers job openings in Lithuania reveals a significant concentration in the capital city of Vilnius, which accounts for approximately 79% of the total job listings. Following Vilnius, Kaunas represents 15% of the job market, while the broader category encompassing all of Lithuania holds a smaller share of 7%. This data underscores the importance of Vilnius as a central hub for Data Data Science Engineers in the country, as displayed in the accompanying chart.

Most sought after technologies in Lithuania for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Lithuania is significantly influenced by several key technologies, pivotal for hiring managers to consider. Dominating the landscape is Python, with a staggering frequency of usage, reflecting its versatility in data manipulation and analysis. Following closely, SQL emerges as a critical skill, essential for effective database management in data-centric roles. Machine Learning also stands out, showcasing the shift towards intelligent systems and predictive analytics in the industry. Additionally, Java and .NET play substantial roles in application development, while the presence of AI aligns with the growing demand for innovative solutions. This chart encapsulates the frequency of these technologies, providing a clear visualization of their relevance in the current job market.

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