Data Developer Hiring Trends in Kaunas, 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 Engineers job market trends in Lithuania, particularly in Kaunas, reveal a robust landscape characterized by 220 job openings and a talent pool of 580 professionals, yielding a favorable jobs-to-talent pool ratio of 2.64.
Over the last three months, Kaunas has seen a total of 37 new Data Engineering roles opened, showcasing dynamic trends that hiring managers must be mindful of, particularly given the 10 positions closed in one week.
Major companies seeking Data Engineers in this region include EPAM Systems, Accenture Baltics, and Hostinger, which distinctly contribute to the competitive hiring environment.
With a median time to hire of 34 days for Data Engineers, organizations should strategize their recruitment processes to navigate potential delays and optimize candidate engagement efficiently.
Kaunas is increasingly recognized as a significant city for Data Engineer job openings, capturing 15% of available positions in Lithuania, following the capital Vilnius, which leads with 70%.

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

In the last 12 weeks, the Data Engineering job market in Kaunas, Lithuania, displayed fluctuating trends, with the highest number of new jobs posted at 7 in week 26 and a total of 37 jobs opened throughout the period. Notably, the job closure rate has also exhibited significant activity, with 10 positions closed in week 21 alone, resulting in a net decrease in opportunities at various points. Compared to other roles in Kaunas, the data reveals a dynamic environment specific to Data Developers, indicating that hiring strategies for CTOs and hiring managers should account for the fluctuating demand as well as the competition faced from other European tech hubs.

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 Engineers job market trends in Lithuania and the surrounding European landscape reveal significant insights for hiring managers. In Lithuania, there are currently 220 job openings against a talent pool of 580, resulting in a jobs-to-talent pool ratio of 2.64. Comparatively, Poland has 1500 openings with a talent pool of 3500 (ratio of 2.33), Germany shows 3000 openings with 6000 potential candidates (ratio of 2.00), and Estonia presents 400 openings and a 900 strong talent pool (ratio of 2.25). With a favorable ratio in Lithuania, it suggests that while opportunities are abundant, the specific Data Developer opportunities in Lithuania Kaunas may require targeted recruitment strategies, particularly for Senior Data Developers, as the overall competition for talent remains robust across Europe.

Seniority distribution of Data Engineer job openings in Kaunas

Seniority Distribution of Data Engineering Jobs in Kaunas

In the Data Engineers job market in Lithuania, specifically in Kaunas, the seniority distribution reflects a strong demand for skilled professionals. Mid-Senior level positions account for 46% of available roles, while Entry level opportunities represent 36%. Additionally, Associate positions make up 13% of the job market, indicating a balanced landscape for both emerging talent and experienced engineers.

Preferred employment type for Engineering roles in Lithuania

The employment type distribution for engineering roles in Lithuania is predominantly characterized by full-time positions, which constitute 94% of the job market. In contrast, contract roles account for 4%, while part-time opportunities represent 2%. This distribution highlights the stability and demand for full-time employment in the Data Engineers job market trends in Lithuania, particularly in cities like Kaunas.

Time to Hire Distribution for Data in Lithuania

How long does it take to hire Data Engineers

The time to hire distribution for Data jobs in Lithuania showcases significant variability, crucial for hiring managers in the tech sector. Notably, the majority of hires occur within the 25 to 30-day range, with 88 positions filled at 25 days and 150 at 30 days. Additionally, the data indicates that hiring timelines can extend beyond 60 days, implying that recruitment strategies for CTOs and hiring managers in Lithuania's Kaunas market should account for extended search periods, particularly for Senior Data Developers. Understanding these trends in hiring Data Engineers will aid organizations in tailoring competitive offers and improving recruitment efficiency within this evolving job market.

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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 distribution of Data Engineer job openings reveals that Vilnius is the dominant city, accounting for 70% of the total positions available. Kaunas stands out as the second most significant location, representing 15% of the market, while other areas such as Klaipėda contribute a mere 1% to the overall demand. This data underscores the concentration of opportunities in the capital and highlights Kaunas's emerging role in the Data job market.

Most sought after technologies in Kaunas for Data

Key technologies for Data Engineers

Among the various technologies that dominate the Data job market in Lithuania, particularly in Kaunas, Python emerges as the most utilized, with a frequency of 9,057 uses. Following closely are SQL and Data Engineering, with frequency counts of 8,396 and 3,897 respectively. Other significant technologies include ETL (3,343), Machine Learning (3,188), and Java (2,196). The accompanying chart provides a visual representation of these frequencies, illustrating the prevalent tools and technologies that potential hires are expected to be proficient in.

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