Data Science Developer Hiring Trends in Cracow, Poland

This report was last updated on Aug 16, 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 Engineers job market in Poland's Cracow has seen a significant imbalance over the past three months, with 33 positions closed compared to only 27 newly opened, indicating a tightening market that necessitates refined recruitment strategies for hiring managers.
Cracow offers a robust talent pool of 499 job openings for Data Science Engineers, positioning it as a vital hub next to Warsaw, which leads with 2,307 opportunities, showcasing the city’s growing importance in Poland's tech sector.
Top companies actively hiring Data Data Science Engineers in Cracow include Sii Poland, Capgemini, and EY, reflecting the dynamic nature of the local job market and the need for employers to adapt their recruitment approaches.
The hiring landscape is competitive yet favorable, with Poland offering a reasonable jobs-to-talent pool ratio, making it easier to recruit Data Science Engineers compared to other European countries, enhancing Cracow's appeal for talent acquisition.
With a median time to hire of 34 days for Data Engineers in Poland, it is critical for CTOs and Engineering Managers to streamline their recruitment processes, as demand for talent tends to wane significantly after the 40-day mark.

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

The Data Data Science job market in Poland's Cracow has exhibited notable fluctuations over the past twelve weeks. A peak was observed in week 22, where 8 new job openings emerged, juxtaposed against the closing of 1 job in the same week. In stark contrast, the overall trend displays a concerning imbalance, with 33 positions closed during this period compared to only 27 that were newly opened. This reflects a tightening market for Data Science Engineering roles in Cracow, indicating a need for enhanced recruitment strategies from CTOs and hiring managers. Comparatively, roles in other tech sectors across Europe are experiencing slower closures, signaling thriving opportunities in those areas, which may position Data Data Science Engineers in Poland Cracow at a competitive disadvantage.

Who else is hiring for data Engineers in Poland:

Company name	Country	Industry	Founded	# Job openings
Sii Poland	Poland	Information Technology & Services	2006	27
Capgemini	France	Management Consulting	1967	18
EY	United Kingdom	Professional Training & Coaching	1989	17
EPAM Systems	United States	Information Technology & Services	1993	16
Bending Spoons	Italy	Information Technology & Services	2013	15
emagine	Denmark	Information Technology & Services	1986	13
Endava	United Kingdom	Information Technology & Services	2000	12
Capgemini Engineering	null	null	null	12
GlobalLogic	United States	Information Technology & Services	2000	11
Google	United States	Information Technology & Services	1998	10

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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 Data Science Engineers job market trends in Poland, particularly in Cracow, reveal a competitive landscape characterized by a notable ratio of job openings to available talent. Poland currently boasts a favorable jobs-to-talent pool ratio, especially when compared to countries such as Germany, the Netherlands, and Sweden, indicating that hiring talent in this region is relatively easier. With a growing number of Data Data Science job openings and a robust talent pool, Cracow stands out as an attractive location for recruitment. Furthermore, the future demand for Data Science Engineers in Poland's tech sector suggests a solid growth trajectory. Companies should leverage tailored recruitment strategies to attract the right candidates amidst emerging trends in hiring across Europe's technology landscape.

Seniority distribution of Data Science Engineer job openings in Cracow

Seniority Distribution of Data Science Engineering Jobs in Cracow

In the Data Data Science job market in Poland, specifically in Cracow, the seniority distribution reveals an interesting trend. Mid-Senior level positions dominate with 62% of the available jobs, followed by Entry level roles at 24%, and Associate positions constituting 10%. This distribution indicates not only the immediate demand for experienced Data Data Science Engineers but also highlights opportunities for nurturing talent through entry-level positions.

Preferred employment type for Engineering roles in Poland

In Poland, the employment landscape for Data Data Science Engineers reveals a strong preference for full-time positions, accounting for 91% of available roles. Contract positions comprise 8% of the job market, while part-time roles constitute 1%. This distribution indicates a robust demand for stability within the tech sector, which is essential for hiring managers looking to attract top talent in Cracow and beyond.

Time to Hire Distribution for Data in Poland

How long does it take to hire Data Engineers

Analyzing the time to hire distribution for Data Science Engineers in Poland reveals key insights into the market trends. The majority of positions are filled within a 30 to 40-day timeframe, with a significant 395 roles being filled in 30 days and 180 in 35 days. Notably, the demand for talent begins to wane after the 40-day mark, as evidenced by only 119 roles being filled in 40 days. This data highlights the critical importance for hiring managers and CTOs in Poland, particularly in Cracow, to expedite their recruitment strategies to attract top Data Science talent before they consider other opportunities.

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.

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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.

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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.

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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 location distribution for Data Science Engineer job openings reveals that Warsaw leads significantly with 57% of the total positions, accounting for 2,307 opportunities. Cracow follows with 20%, reflecting a strong tech presence with 499 job openings. Wroclaw and Kraków are close behind, representing 20% and 17% respectively, further emphasizing the growing demand for Data Science talent in these urban centers.

Most sought after technologies in Cracow for Data Science

Key technologies for Data Science Engineers

In the Data Data Science job market, particularly in Poland and Cracow, several technologies stand out based on their frequency of usage. Python leads the way with a remarkable 5,846 mentions, emphasizing its prominent role in data science applications. Following closely, Machine Learning technologies are referenced 3,002 times, highlighting their critical importance in advanced data analysis. SQL, a fundamental tool for managing and querying data, appears 2,078 times, showcasing its essentiality for Data Data Science Engineers. Additionally, Data Science itself is cited 1,671 times, indicating the growing focus on this domain. For further insights, please refer to the accompanying chart which illustrates these pivotal trends in technology usage.

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