Data Science Developer Hiring Trends in Wrocław, Poland

This report was last updated on Aug 24, 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 Engineer job market in Wrocław has experienced significant activity over the past 12 weeks, with 34 new positions opened but also the closure of 24 positions, indicating a challenging hiring environment.
The talent pool in Poland offers a competitive advantage for hiring managers, with a favorable ratio of available candidates to job openings, making it easier to recruit skilled Data Data Science Engineers compared to other European countries.
The seniority distribution reveals that 78% of Data Data Science Engineering jobs in Wrocław are at the Mid-Senior level, highlighting the need for organizations to focus their recruitment strategies on attracting experienced professionals.
Currently, the average time to hire for Data Engineers in Poland is 34 days, with a strong demand for swift recruitment processes to secure top talent in a competitive job market.
The majority of Data Engineering roles in Poland are based in urban centers, with Wrocław accounting for 12% of available positions, presenting valuable opportunities for companies looking to fill Data Data Science roles in this region.

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

Over the past 12 weeks, the Data Data Science Engineer job market in Wrocław has displayed notable fluctuations, with a total of 34 new positions opened, peaking at 13 jobs in week 22. However, the closure of 24 positions indicates a concerning turnover, particularly around weeks 25 to 31, where closures often exceeded openings. In comparison to other technology roles in Wrocław, the volatility in Data Data Science jobs suggests a rapidly evolving demand and potentially more competitive hiring landscape, paralleling trends observed in key tech hubs across Europe.

Who else is hiring for data Engineers in Poland:

Company name	Country	Industry	Founded	# Job openings
Sii Poland	Poland	Information Technology & Services	2006	20
EY	United Kingdom	Professional Training & Coaching	1989	19
Capgemini	France	Management Consulting	1967	19
EPAM Systems	United States	Information Technology & Services	1993	18
Bending Spoons	Italy	Information Technology & Services	2013	16
emagine	Denmark	Information Technology & Services	1986	13
Luxoft Poland	null	null	null	13
Endava	United Kingdom	Information Technology & Services	2000	12
Capgemini Engineering	null	null	null	12
GlobalLogic	United States	Information Technology & Services	2000	12

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Talent pool vs job openings for Data Engineers in Poland

How competitive it is to hire Data Engineers in Poland

The data reveals that Poland's job market for Data Data Science Engineers features a competitive landscape, with a notable ratio of available talent to job openings. In Poland, the talent pool size significantly influences recruitment strategies, especially when juxtaposed with countries like Germany, the Netherlands, and France. For instance, while Germany shows a robust demand and a sizable talent pool, Poland's more favorable ratio of talent availability suggests that hiring in Wrocław is comparatively more accessible. This contrasts starkly with the tighter markets seen in some Western European nations, indicating that CTOs and hiring managers might find it easier to recruit Data Data Science Engineers in Poland, particularly in Wrocław, where the dynamic tech sector is ripe with opportunities.

Seniority distribution of Data Science Engineer job openings in Wrocław

Seniority Distribution of Data Science Engineering Jobs in Wrocław

In Wrocław, the seniority distribution of Data Data Science Engineering jobs reveals a competitive landscape for hiring managers. The majority of positions, 78%, are categorized as Mid-Senior level, indicating a robust demand for experienced professionals. Entry-level roles comprise 14% of the market, while Associates represent 8%. This distribution underscores the necessity for organizations to adapt their recruitment strategies to attract and retain skilled Data Data Science Engineers in Poland's evolving tech sector.

Preferred employment type for Engineering roles in Poland

In the Polish engineering job market, the predominant employment type is full-time, comprising 91% of available positions. Contract roles account for 8% of the market, while part-time opportunities represent just 1%. This distribution highlights the strong preference for full-time engagements among Data Data Science Engineers, which reflects a broader trend in the tech sector towards stable, long-term employment.

Time to Hire Distribution for Data in Poland

How long does it take to hire Data Engineers

The data concerning the time to hire for Data positions in Poland reveals significant trends that hiring managers must consider. Notably, the most frequent hiring timeframe spans 30 days, with 399 recorded instances, indicating a strong preference for relatively swift recruitment in the Data domain. However, the distribution shows that over 206 candidates were hired within just 10 days, signifying a competitive edge for firms capable of expediting their recruitment processes. Meanwhile, the hiring periods extending beyond 50 days become less common, particularly with only 3 roles taking 100 days to fill. This analysis underscores the necessity for CTOs and Engineering Managers to adopt efficient recruitment strategies to secure top Data Science talent in Poland.

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Insights for hiring Data Engineer Engineers in Spain

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Insights for hiring Data Engineers in Krakow

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Most popular cities in Poland to hire Data Engineers

Top 5 cities in Poland to hire Data Engineers

In Poland, the distribution of Data Engineers job openings reveals a significant concentration in major cities. Warsaw leads with 63% of the total job listings, followed by Cracow at 14%, and Wrocław, which accounts for 12% of the available positions. This data underscores the urban-centric nature of opportunities in the Data Data Science job market, with Warsaw asserting its dominance as the capital city.

Most sought after technologies in Wrocław for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Poland's Wrocław, several technologies are pivotal to the recruitment of skilled professionals. The most prevalent technology is Python, with a frequency of 5,533, highlighting its dominance in data science applications. Following closely are Machine Learning and SQL, recorded at frequencies of 2,940 and 1,965 respectively, indicating the strong demand for expertise in these areas. Additionally, the importance of Data Science itself is underscored by a frequency of 1,641, while Java ranks significantly with a frequency of 1,532. This data is represented in the accompanying chart, which illustrates the distribution of technology usage among Data Data Science roles across the region.

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