Data Science Developer Hiring Trends in Kaunas, Lithuania

This report was last updated on Aug 10, 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, particularly in Kaunas, has seen a total of 18 new positions for Data Data Science Engineers compared to 16 roles closed within the last three months, indicating fluctuating demand for talent.
Top companies hiring Data Data Science Engineers in Kaunas include EPAM Systems with 16 openings, Accenture Baltics with 10, and Hostinger with 7, reflecting the competitive nature of the local tech sector.
With full-time roles dominating the market at 96%, recruitment strategies geared towards offering stable employment are crucial for CTOs and hiring managers looking to attract the best talent in the region.
Although Lithuania offers a promising job market for Data Data Science Engineers, hiring remains competitive, with a median time to hire of 33 days, suggesting that organizations must implement efficient recruitment processes to secure talent quickly.
Kaunas ranks as the second most significant city for Data Data Science Engineer opportunities in Lithuania, following Vilnius, which commands 82% of job postings and further emphasizes the importance of this region in the broader European tech landscape.

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

Over the past 12 weeks, the job market for Data Data Science Engineers in Kaunas, Lithuania, has exhibited notable fluctuations, with a total of 18 new positions posted compared to 16 closed. The highest activity was recorded in week 27, with 4 new job openings, showcasing a potential peak in recruitment efforts. In contrast, other roles in the Lithuanian tech sector have not demonstrated similar growth, suggesting that the demand for Data Data Science Engineers may be outpacing hiring in other areas. Across Europe, this trend aligns with a broader uptick in Data Data Science Developer opportunities, emphasizing the need for effective recruitment strategies tailored specifically for this skill set.

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

Here are a few specialized data agencies you can trust:

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

In the competitive arena of Data Data Science Engineers, Lithuania exhibits a promising job market, particularly in cities like Kaunas. With a commendable number of job openings, Lithuania's talent pool presents a ratio that suggests moderate ease in recruitment. In comparison, countries like Poland and Germany exhibit more challenging hiring environments due to a higher number of job openings relative to their available talent. Meanwhile, the Netherlands also shows a similar ratio, emphasizing the tight market for Data Data Science Engineers. Thus, while Lithuania shows favorable conditions, hiring managers may still face challenges in securing top talent amidst the growing demand for Data Data Science Professionals in Lithuania Kaunas.

Seniority distribution of Data Science Engineer job openings in Kaunas

Seniority Distribution of Data Science Engineering Jobs in Kaunas

In the Data Data Science Engineering job market in Lithuania, specifically in Kaunas, the seniority distribution reveals a significant presence of Entry-level positions at 40%, followed by Mid-Senior level roles at 30%, and Internship opportunities accounting for 19%. This distribution highlights both the emerging talent pool and the potential for growth in recruitment strategies tailored for CTOs and hiring managers in the tech sector.

Preferred employment type for Engineering roles in Lithuania

In the Lithuanian software development job market, full-time positions dominate, accounting for 96% of available roles. Contract opportunities represent 4% of the job listings, while part-time roles and internships constitute 2% and 2%, respectively. This distribution highlights the prevailing preference for stable employment in the technology sector, which is essential for hiring managers considering recruitment strategies for Data Data Science Engineers in Lithuania, particularly in the vibrant city of Kaunas.

Time to Hire Distribution for Data in Lithuania

How long does it take to hire Data Engineers

The distribution of time to hire for Data Science Engineer positions in Lithuania reveals a significant concentration in the 30 to 40-day range, with 150 candidates taking 30 days and 43 candidates taking 40 days to fill these roles. Notably, the trend shows that hiring within 25 to 35 days is optimal, as it accounts for the highest number of hires, indicating a competitive landscape. Moreover, there is a gradual decline in the count of hires as the hiring timeframe extends beyond 40 days, prompting hiring managers and CTOs to adopt efficient recruitment strategies. With 88 candidates hired at the 25-day mark, organizations in Lithuania’s tech sector should consider streamlined processes to secure top talent swiftly, especially in Kaunas, where Data Science Developer opportunities are on the rise.

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.

View Report

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.

View Report

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.

View Report

View All Job Reports

Most popular cities in Lithuania to hire Data Engineers

Top 5 cities in Lithuania to hire Data Engineers

In analyzing the location distribution for Data Engineers job openings in Lithuania, Vilnius leads with 82% of the total job postings, representing a substantial majority. Kaunas, with 16% of job listings, emerges as the second most significant city, highlighting its importance in the local tech ecosystem. Other regions, including Klaipėda and remote opportunities, make up the remaining 2%, underscoring the concentration of demand in Vilnius and Kaunas. Please refer to the accompanying chart for a visual representation of these data points.

Most sought after technologies in Kaunas for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Lithuania, particularly in Kaunas, is significantly influenced by a set of core technologies. Notably, Python leads with an impressive usage frequency of 6,766, making it indispensable for Data Science roles. Following closely are SQL and Machine Learning, with frequencies of 2,330 and 3,188, respectively, demonstrating their critical role in data management and predictive modeling. Additionally, Java maintains a strong presence with 2,196 occurrences, while AI and data analysis show substantial importance at frequencies of 1,962 and 1,314. These technologies are fundamental to the current hiring trends for Data Data Science Engineers in Lithuania, as illustrated in the accompanying chart.

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.