Data Developer Hiring Trends in Poznań, Poland

This report was last updated on Aug 3, 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 Poland, particularly in Poznań, reveal a fluctuating environment with a total of 7 new jobs posted in week 19, though recent weeks show only 1 job posted in week 28, indicating a tightening market.
Prominent companies hiring Data Engineers in Poland include Sii Poland, Capgemini, and Luxoft Poland, highlighting the leading enterprises engaging in this talent acquisition race.
With 91% of Data Engineer job opportunities being full-time positions, there is a strong preference for stable employment in Poland’s tech sector, making it important for hiring managers to align their offerings with candidate expectations.
The average time to hire Data Engineers in Poland stands at 33 days, indicating a responsive recruitment process. However, with a competitive landscape, it is critical for CTOs and engineering managers to streamline hiring strategies to attract top talent promptly.
Mid-Senior level roles dominate the Data Engineering job market in Poznań at 61%, underscoring the significant demand for experienced professionals, which should inform recruitment strategies focused on engaging skilled candidates.

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

The Data Engineers job market trends in Poland Poznań reveal a fluctuating environment, with a notable peak of 7 new jobs posted in week 19, while recent weeks show a downward trend with only 1 job posted in week 28. In contrast, the closure of jobs has seen a consistent pattern with a total of 2 to 6 jobs closed weekly. This presents a concerning indication for hiring managers, as the gap between openings and closures has narrowed significantly, suggesting potential challenges in recruitment strategies for CTOs in Poland Poznań's tech sector. Compared to other regions in Europe, where Data Developer opportunities are expanding, Poland's Poznań may face increased competition for talent due to these emerging trends in hiring.

Who else is hiring for data Engineers in Poland:

Company name	Country	Industry	Founded	# Job openings
Sii Poland	Poland	Information Technology & Services	2006	31
Capgemini	France	Management Consulting	1967	18
Luxoft Poland	null	null	null	18
EY	United Kingdom	Professional Training & Coaching	1989	17
emagine	Denmark	Information Technology & Services	1986	12
Endava	United Kingdom	Information Technology & Services	2000	12
EPAM Systems	United States	Information Technology & Services	1993	11
Capgemini Engineering	null	null	null	11
Grid Dynamics	United States	Information Technology & Services	2006	9
Luxoft	Switzerland	Information Technology & Services	2000	9

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 Poland

How competitive it is to hire Data Engineers in Poland

The Data Engineers job market trends in Poland highlight a competitive landscape, particularly when compared to other European countries such as Germany, France, and the Netherlands. With a notable number of job openings juxtaposed against the available talent pool, Poland demonstrates a favorable ratio for employers, suggesting that it is relatively easier to hire Data Engineers in this country. For instance, while Germany experiences a high demand with fewer available candidates, Poland's talent pool allows for more opportunities, signifying a balanced recruitment approach. Conversely, countries like France reflect tighter hiring conditions, where the demand substantially outweighs the supply. As hiring managers and CTOs consider recruitment strategies for Poland's tech sector, it is crucial to leverage local insights and understand these emerging trends in Data Programmer hiring.

Seniority distribution of Data Engineer job openings in Poznań

Seniority Distribution of Data Engineering Jobs in Poznań

In the current Data Engineering job market in Poznań, the distribution of seniority levels reveals significant insights for hiring managers. Mid-Senior level positions dominate the landscape, comprising 61% of the available roles, followed by Entry level jobs at 20%, and Associate level positions accounting for 8%. This distribution indicates a solid demand for experienced Data Engineers in Poznań, highlighting the importance of robust recruitment strategies tailored to attract skilled professionals.

Preferred employment type for Engineering roles in Poland

In the Polish engineering job market, particularly for roles such as Data Engineers, full-time positions dominate the landscape, accounting for 91% of job opportunities. Contract roles constitute 8% of the market, while only 1% are part-time positions. This distribution highlights a strong preference for stable, full-time employment among candidates in the technology sector in Poland.

Time to Hire Distribution for Data in Poland

How long does it take to hire Data Engineers

The time to hire for Data Engineer roles in Poland indicates a significant demand for talent in this sector. Notably, a majority of candidates (492) are hired within 30 days, showcasing the rapid pace of recruitment within the Polish job market. Furthermore, the most concentrated range of hiring lies within the 25 to 35-day bracket, reflecting the urgency among hiring managers to fill critical Data Developer positions. As organizations in Poznań seek to attract top talent, understanding these trends can assist CTOs and recruitment leads in strategizing effectively within Poland’s competitive tech landscape.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineers in Estonia

The Data Engineer job market in Estonia is characterized by a net increase in job opportunities, with 67 new roles opened versus 30 closed in the last 12 weeks, pointing to a dynamic recruitment landscape.

View Report

Insights for hiring Data Science Engineers in Lund

The Data Data Science Engineer job market in Sweden Lund has experienced a modest activity with 8 new positions posted in the last three months, contrasted by 11 closed roles, indicating a net loss of job availability and a competitive hiring landscape.

View Report

Insights for hiring Data Science Engineers in Wrocław

The Data Data Science Engineers job market in Wrocław, Poland, has seen significant fluctuations over the last three months, with a peak of 13 new roles posted in week 22, making it essential for hiring managers to adopt responsive recruitment strategies.

View Report

View All Job Reports

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 Engineer job openings reveals that Warsaw leads the market with 64% of the total job listings, followed by other significant cities such as Cracow and Wroclaw with 14% and 13% respectively. This highlights Warsaw's dominance as the primary hub for Data Engineer opportunities, while Poznań, although not listed in the top cities, remains a notable area for future recruitment strategies. Please refer to the accompanying chart for detailed insights.

Most sought after technologies in Poznań for Data

Key technologies for Data Engineers

The data job market in Poland, particularly in Poznań, is increasingly dominated by several key technologies that are essential for aspiring Data Engineers. Python emerges as the most fundamental skill, with a frequency of 9304, reflecting its critical role in data manipulation and analysis. Following closely are SQL and ETL, with frequencies of 8577 and 3426 respectively, underscoring the importance of database management and data integration processes. Additionally, Machine Learning and Data Analysis are pivotal, with frequencies of 3204 and 2390, indicating a growing focus on predictive analytics. These insights are illustrated in the accompanying chart, showcasing the distribution of technology usage among Data jobs.

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.