Agency Partners

Data Developer Hiring Trends in Lithuania

This report was last updated on Sep 7, 2025

Bence Gedai / Founder

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 have revealed a strong demand, with 41 new roles posted during week 26, highlighting a growing need for Data talent.
  • Lithuania's talent pool for Data Engineers is favorable, with a notable balance between job openings and available candidates, suggesting a more accessible hiring environment compared to the tighter markets in countries like Germany and the UK.
  • The capital city, Vilnius, is the primary hub for Data Engineer opportunities, accounting for 71% of job openings, followed by Kaunas with 14%, making these cities critical focal points for hiring managers in the tech sector.
  • Mid-Senior level positions dominate the Data Engineer roles in Lithuania, comprising 52% of the market, which indicates a substantial pool of experienced professionals while entry-level roles are also significant at 29%.
  • With a median time to hire of 35 days, employers are advised to implement agile recruitment strategies that address the immediate demand for Data Engineers, optimizing their hiring processes to attract talent effectively.
Number of roles opened and closed for Data Engineers in Lithuania in the last 3 months

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

In the last 12 weeks, Lithuania's job market for Data Engineers has experienced notable fluctuations. The number of new Data Engineer positions posted peaked at 41 in week 26, reflecting a growing demand for Data talent, while the average weekly openings for this role have been notably higher when compared to other technical positions in the region. Conversely, the closure rate of these positions has seen significant spikes, particularly in weeks 31 and 34, suggesting a competitive hiring landscape. This volatility highlights essential recruitment strategies for CTOs in Lithuania's tech sector as they navigate Future demand for Data Engineers in Lithuania amidst hiring trends across Europe.

Who else is hiring for data Engineers in Lithuania:

Company name Country Industry Founded # Job openings
EPAM Systems logo EPAM Systems United States Information Technology & Services 1993 29
Accenture Baltics logo Accenture Baltics null null null 10
Canonical logo Canonical United Kingdom Information Technology & Services 2004 8
Exadel logo Exadel United States Information Technology & Services 1998 6
Telia logo Telia Sweden Telecommunications 1853 6
Bentley Systems logo Bentley Systems United States Information Technology & Services 1984 4
Hostinger logo Hostinger Lithuania Information Technology & Services 2004 4
Nord Security logo Nord Security Turkey Computer & Network Security 2012 4
Danske Bank logo Danske Bank Denmark Financial Services 1871 3
Axelera AI logo 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

In the competitive landscape of Europe, Lithuania presents a noteworthy profile for Data Engineers. With an impressive ratio of talent pool size to job openings, the recruitment environment appears conducive for hiring. Specifically, while Lithuania has a favorable ratio, countries such as Germany and the UK face a tighter market, demonstrating a higher demand relative to their available talent. Similarly, France also shows a challenging ratio, indicating that for hiring managers seeking Data Engineers, Lithuania may offer a comparatively easier hiring experience. This analysis underscores the significance of adopting targeted recruitment strategies for CTOs and tech leaders looking to capitalize on the emerging Data Engineer opportunities in Lithuania's tech sector.

Seniority distribution of Data Engineer job openings in Lithuania

Seniority Distribution of Data Engineering Jobs in Lithuania

The seniority distribution of Data Engineering jobs in Lithuania highlights a significant presence of Mid-Senior level professionals, accounting for 52% of the total job market. Entry level positions follow closely with 29%, indicating a robust emerging talent pool. Meanwhile, Associate roles make up 8% of the market, showcasing potential for growth and recruitment strategies targeting this segment.

Chart about preferred employment type for Engineering roles in Lithuania

Preferred employment type for Engineering roles in Lithuania

In Lithuania's engineering job market, the employment type distribution reveals a strong preference for Full-time positions, comprising 96% of job listings. Contract roles account for 2% of the market, while Part-time positions and Internships make up 1% each. Understanding these trends is crucial for hiring managers and recruiters as they refine their recruitment strategies for attracting Data Engineers and other technical talent in the region.

Time to Hire Distribution for Data in Lithuania

How long does it take to hire Data Engineers

In the competitive landscape of the Data Engineers job market trends in Lithuania, the time to hire data indicates significant variability. The majority of hiring activity clusters around a 30-day timeframe, with 109 instances recorded, suggesting that an efficient recruitment strategy is crucial. Notably, the data shows that 42 positions were filled within 10 days, and demand for immediate availability is apparent as 60 positions fell within the 25-day hiring window. Employers should tailor their recruitment strategies accordingly to address the future demand for Data Engineers in Lithuania and maintain agility in their hiring processes.

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 a strong concentration in the capital, Vilnius, which hosts 71% of all relevant positions. Kaunas follows with 14% of the job market share, while the broader scope of 'Lithuania' accounts for an additional 7%. This data underscores the significance of Vilnius as a central hub for Data Engineer opportunities, making it a strategic focus for hiring managers and recruiters in the tech sector.

Most sought after technologies in Lithuania for Data

Key technologies for Data Engineers

The data job market in Lithuania is characterized by a diverse array of technologies that play a crucial role in shaping hiring trends. Notably, Python emerges as the most prevalent language, with a frequency of 7,785, reflecting its pivotal role in data development and engineering. SQL follows closely behind, appearing 7,444 times, highlighting its fundamental nature in data management and analysis. Additionally, ETL processes are critical, with a frequency of 2,981, supporting data integration and pipeline development. Machine Learning technologies also hold significant importance, with a mention frequency of 2,883, as organizations increasingly leverage AI capabilities. This analysis is further illustrated in the accompanying chart, which indicates the frequency of technology adoption in Lithuania's data job landscape.

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