Data Developer Hiring Trends in 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 Engineers job market in Lithuania is currently characterized by a dynamic landscape, with 41 new positions recorded in week 26, juxtaposed against a peak job closure rate of 74 in week 31, indicating significant competition for hiring managers seeking to fill these roles.
With a talent pool consisting of approximately 3,400 professionals, the recruitment of Data Engineers presents a moderate challenge for hiring managers, particularly CTOs and Engineering Managers, who are tasked with navigating the competitive dynamics of the Lithuanian tech sector.
Prominent companies hiring Data Engineers in Lithuania include EPAM Systems, Accenture Baltics, and Hostinger, which are leading the way in the urgent recruitment of qualified professionals in the technology landscape.
The majority of Data Engineer openings are concentrated in Vilnius, which houses 79% of the available positions, followed by Kaunas at 15%, emphasizing the capital's dominance as the primary hub for Data careers in Lithuania.
The median time to hire for Data Engineers stands at 34 days, highlighting the urgency to implement effective recruitment strategies to attract top talent swiftly in response to the rising demand for Data Engineers across the European market.

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

In recent weeks, the Data Engineer job market in Lithuania has shown significant fluctuations, with a peak of 41 new positions posted in week 26. However, the job closure rate has also been considerable, reaching as high as 74 in week 31, indicating a dynamic but competitive landscape for Data Developer roles. This trend highlights an urgent recruitment need for hiring managers, especially CTOs and Engineering Managers, who are navigating the future demand for Data Engineers in Lithuania. Compared to other technology roles in the region, the Data Engineer hiring trends illustrate a critical juncture where effective recruitment strategies can position organizations favorably amid tightening competition across Europe.

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

The Data Engineers job market in Lithuania presents a unique landscape for hiring managers, particularly when compared to other European countries. With a notable number of job openings and a relatively smaller talent pool, Lithuania exhibits a jobs to talent pool ratio that suggests moderate difficulty in sourcing qualified Data Engineers. For instance, compared to Poland and Germany, which have larger talent pools but also higher competition for roles, Lithuania's ratio indicates a somewhat tighter market. This trend in hiring Senior Data Developers showcases the increasing demand for skilled professionals in Lithuania's tech sector, necessitating strategic recruitment strategies for CTOs and team leads aiming to secure top talent. As the competition increases, understanding these data-driven insights will be crucial for effective hiring in the region.

Seniority distribution of Data Engineer job openings in Lithuania

Seniority Distribution of Data Engineering Jobs in Lithuania

The current seniority distribution of Data Engineering jobs in Lithuania reveals a notable emphasis on Mid-Senior level positions, which account for 47% of the job market. Entry level roles represent 25%, while Associate positions comprise 8% of available opportunities. This trend highlights the strong demand for experienced professionals in the Data job market in Lithuania, indicating a critical recruitment focus for employers looking to fill Data Engineer roles.

Preferred employment type for Engineering roles in Lithuania

In the Lithuanian job market for engineering roles, full-time positions dominate significantly, accounting for 95% of all job listings. Contract roles represent a mere 4% of the total, while part-time opportunities make up 2%. This distribution indicates a strong preference for stable, long-term employment among Data Engineer positions in Lithuania.

Time to Hire Distribution for Data in Lithuania

How long does it take to hire Data Engineers

The data on time to hire for Data roles in Lithuania indicates a concentration of hires within a 30 to 50-day window, reflecting common hiring practices in the tech sector. Notably, 150 candidates were hired within 30 days, suggesting a strong urgency in filling positions, while an additional 88 candidates were onboarded within 25 days. However, as the hiring timeframe extends beyond 50 days, the number of hires diminishes significantly, with only 5 candidates hired at the 100-day mark. This trend emphasizes the importance for CTOs and recruiting professionals in Lithuania to implement efficient recruitment strategies to attract talent swiftly, particularly given the rising future demand for Data Engineers in Lithuania's competitive job market.

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

The job market for Data Engineers in Lithuania is predominantly concentrated in its capital, Vilnius, which represents 79% of the total job openings. Following Vilnius, Kaunas accounts for 15% of available positions, while the broader region of Lithuania encompasses 7% of listings. These figures illustrate a strong centralization of Data Engineer opportunities in Vilnius, as highlighted in the accompanying chart.

Most sought after technologies in Lithuania for Data

Key technologies for Data Engineers

In the evolving data job market in Lithuania, a number of technologies have emerged as crucial for data roles. Python leads prominently with a frequency of 9,057, making it an indispensable tool for Data Engineers and analysts alike. Following closely is SQL, which appears with a frequency of 8,396, underscoring its critical role in data management and querying. Other significant technologies include ETL at 3,343, facilitating data integration processes, and Machine Learning at 3,188, indicating a growing emphasis on predictive analytics. The accompanying chart illustrates these technology trends, providing a clear view of the tools that are shaping the future demand for Data Engineers in Lithuania.

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.