Data Science Developer Hiring Trends in Lithuania

This report was last updated on Sep 6, 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 current Data Data Science Engineers job market in Lithuania reflects a competitive landscape, with a total of 1,694 job openings concentrated primarily in Vilnius, making it the epicenter for recruitment in this field.
In the past 12 weeks, the Lithuanian market witnessed significant volatility, peaking at 25 new postings but experiencing a concerning imbalance with 48 closures in week 31, highlighting a pressing need for effective recruitment strategies for CTOs.
A considerable portion of the job market at 54% focuses on mid-senior level positions, indicating strong demand for experienced Data Data Science Engineers and suggesting that hiring managers should prioritize targeting this segment.
The talent pool for Data Data Science Engineers is tightening, as evidenced by the competitive hiring environment in Lithuania. Compared to neighboring nations, attracting top talent may require adaptive recruitment strategies amidst growing future demand.
With a median time to hire of 33 days, there is a clear trend towards urgency in filling Data Engineer positions, presenting an opportunity for hiring managers to enhance their recruitment processes to keep pace with market dynamics.

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

In the last 12 weeks, the Data Data Science Engineering job market in Lithuania has shown variable activity, with a peak of 25 jobs posted in week 27. However, the closing trend reveals a concerning imbalance, particularly noted in week 31 where 48 jobs were closed compared to only 4 new openings. This substantial difference raises questions about retention and recruitment challenges within the sector. Compared to other tech roles in Lithuania, Data Data Science Engineer positions appear more volatile, suggesting a need for robust recruitment strategies for CTOs and hiring managers to attract senior talent effectively, especially as demand for Data Data Science Engineers grows.

Who else is hiring for data Engineers in Lithuania:

Company name	Country	Industry	Founded	# Job openings
EPAM Systems	United States	Information Technology & Services	1993	29
Accenture Baltics	null	null	null	10
Canonical	United Kingdom	Information Technology & Services	2004	8
Exadel	United States	Information Technology & Services	1998	6
Telia	Sweden	Telecommunications	1853	6
Bentley Systems	United States	Information Technology & Services	1984	4
Hostinger	Lithuania	Information Technology & Services	2004	4
Nord Security	Turkey	Computer & Network Security	2012	4
Danske Bank	Denmark	Financial Services	1871	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 Data Data Science job market in Lithuania demonstrates a competitive environment for hiring managers seeking Data Science Engineers. With a ratio of talent pool size to job openings indicating a tighter labor market, Lithuania is currently experiencing challenges in recruiting such professionals. In comparison, countries like Poland and the Czech Republic exhibit a more favorable ratio, suggesting that hiring talent may be less difficult there. Meanwhile, Estonia presents a similar scenario to Lithuania, indicating that CTOs and engineering managers should consider alternative recruitment strategies to attract and retain top Data Science talent. As the future demand for Data Science Engineers in Lithuania grows, leveraging effective recruitment strategies will be paramount for organizations trying to capitalize on available opportunities.

Seniority distribution of Data Science Engineer job openings in Lithuania

Seniority Distribution of Data Science Engineering Jobs in Lithuania

In the evolving Data Data Science job market in Lithuania, the seniority distribution reveals that 54% of positions are at the Mid-Senior level, followed by 32% at the Entry level and 10% at the Internship level. This distribution signifies a robust demand for experienced Data Data Science Engineers, highlighting recruitment strategies for CTOs in Lithuania's tech sector to focus on attracting and retaining mid-level talent.

Preferred employment type for Engineering roles in Lithuania

The employment landscape for engineering roles in Lithuania showcases a substantial preference for full-time positions, accounting for 96% of job offerings. Contract roles constitute 4%, while part-time opportunities constitute a mere 1% of the job market. This distribution highlights a clear trend towards stable employment, which is critical for hiring managers seeking to attract Senior Data Data Science Developers amidst the competitive landscape.

Time to Hire Distribution for Data in Lithuania

How long does it take to hire Data Engineers

The time to hire for Data Science Engineer positions in Lithuania demonstrates a notable distribution, with the majority of roles requiring between 30 to 50 days to fill. A significant peak is observed at 30 days, with 114 instances recorded, indicating a trend where employers are inclined towards filling positions within this timeframe. Furthermore, the data reveals that 66 positions required 25 days, which suggests that urgency is a factor in the recruitment strategy for Data Science talent. Conversely, longer timelines are less common, with only 5 roles taking 95 days to fill, highlighting an efficient hiring process within the Lithuanian tech sector that hiring managers must consider when strategizing recruitment for Data Data Science Developers.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineers in Denmark

The Data Engineers job market trends in Denmark indicate a challenging yet dynamic recruitment landscape, with 2,000 job openings competing against a talent pool of only 1,500 professionals.

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Insights for hiring Data Engineer Engineers in Spain

The Data Data Engineer job market in Spain has seen a total of 190 new job postings in the last 12 weeks, reflecting a volatile but promising hiring landscape for CTOs and tech employers.

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Insights for hiring Data Engineers in Krakow

The Data Engineers job market trends in Poland, particularly in Krakow, showcase a dynamic landscape with recent fluctuations in job openings indicative of both opportunities and challenges for hiring managers.

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Most popular cities in Lithuania to hire Data Engineers

Top 5 cities in Lithuania to hire Data Engineers

In Lithuania, the capital city Vilnius stands out with a significant 82% of the total job openings for Data Data Science Engineers, totaling 1,694 positions. Following Vilnius, Kaunas accounts for 15% with 331 openings, while the broader region of Lithuania itself represents 8% with 170 job offers. This distribution reinforces Vilnius as the primary hub for Data Data Science talent, as illustrated in the accompanying chart.

Most sought after technologies in Lithuania for Data Science

Key technologies for Data Science Engineers

In the Lithuanian Data Science job market, several key technologies are highly prevalent. Python leads the way with a remarkable frequency of 5,169, showcasing its dominance in data science programming. Following closely are Machine Learning and SQL, with frequencies of 2,883 and 1,822 respectively, indicating a strong focus on data manipulation and predictive analytics. Furthermore, Java, .NET, and the AI paradigm also feature prominently, reflecting the diverse technology stack utilized in data science roles. For a comprehensive overview of these technologies, please refer to the accompanying chart.

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