Agency Partners
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In recent weeks, the Data Science Engineer job market in Poland has demonstrated notable fluctuations, particularly when compared to overall job openings in the country. The peak week for new Data Science roles was recorded in week 5 with 132 postings. However, recruitment in this sector has seen a significant drop, with only 6 new roles opened in week 14. In contrast, across Europe, the job market for Data Science positions as a whole has remained robust, with peak weekly openings of 2260, highlighting a discrepancy that hiring managers should consider when strategizing recruitment for Data Science Engineers in Poland. This trend indicates potential challenges for CTOs and recruitment teams aiming to fill Data Science roles amidst a competitive landscape.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
EY | United Kingdom | Information Technology & Services | 1989 | 22 |
|
EPAM Systems | United States of America | It Services And It Consulting | 1993 | 10 |
|
Capgemini Engineering | null | null | null | 10 |
|
Sii Poland | Poland | It Services And It Consulting | 2006 | 9 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 8 |
|
|
Relativity | United States | Information Technology & Services | 2001 | 7 |
|
Agoda | Singapore | Information Technology & Services | 2005 | 7 |
|
|
Luxoft Poland | null | null | null | 7 |
|
Endava | United Kingdom | Information Technology & Services | 2000 | 6 |
|
SoftServe | United States of America | It Services And It Consulting | null | 6 |
The talent market for Data Science Engineers in Europe presents a competitive landscape, particularly notable in Germany and the Netherlands, where the current job openings ratio relative to the talent pool indicates a challenging hiring environment. In Poland, the count of job openings is significant compared to the available talent, signaling a higher demand for Data Science professionals. This trend aligns with similar patterns observed in countries like Germany and the Netherlands, where job openings also outnumber available talent, suggesting difficulties in sourcing qualified candidates. Conversely, nations like Portugal exhibit a more favorable jobs-to-talent ratio, indicating potential ease for hiring managers in those regions. Ultimately, this analysis underscores the urgency for CTOs and hiring managers in Poland to adopt strategic recruitment approaches to secure top talent in the evolving Data Science job market.
In the Polish job market for Data Science Engineers, the distribution of job seniority levels reveals significant insights. The Mid-Senior level constitutes 57% of available positions, emphasizing a robust demand for experienced professionals in this sector. Entry level jobs represent 13% of the market, indicating opportunities for newcomers, while Associate roles account for 7%. This distribution highlights the importance of targeted recruitment strategies for CTOs aiming to attract top talent amid the competition in Poland's Data Science job market.
In the Polish engineering job market, the distribution of employment types reveals a strong preference for full-time positions, which account for 90% of the roles available. Contract positions follow at 9%, comprising a significant portion of the market, while part-time roles represent a mere 1%. This data indicates a clear trend towards full-time employment in the software development sector, particularly for Data Science Engineers, reflecting the stability and commitment required in this dynamic field.
The distribution of time to hire for Data Science positions in Poland reveals significant insights for hiring managers. Notably, the majority of candidates, accounting for 278 placements, are hired within 30 days. However, a considerable portion, 129 candidates, take around 25 days, while 93 placements occur within 15 days. The analysis further shows that hiring processes extending beyond 50 days are less common, with only 132 candidates hired within that timeframe. Understanding this distribution is crucial for CTOs and Engineering Managers aiming to establish competitive recruitment strategies in the evolving Data Science job market in Poland.
The Data Science job market in the Netherlands indicates a total of 40 new job postings within a week, with a competitive landscape reflected in the closure of up to 39 positions in a single week.
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The talent pool for Data Science Engineers in Estonia is relatively constrained, making the hiring landscape competitive despite a substantial number of job openings.
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The Data Science job market in Lithuania exhibits significant competition, with a talent pool of 800 professionals against 200 job openings, resulting in a jobs-to-talent pool ratio of 4.0.
View ReportThe Data Science Engineers job market in Poland is predominantly centered in Warsaw, which accounts for 62% of the job openings within the data set. Following Warsaw, Wrocław and Cracow represent 13% and 12% of the job market, respectively. This illustrates a significant concentration of opportunities in the capital, further emphasizing Warsaw's role as a key hub for Data Science job market trends in Poland.
The Data Science job market in Poland is predominantly shaped by a range of technologies, with Python emerging as the most widely used language, boasting a frequency of 13,712. This is closely followed by SQL, utilized in 4,796 job postings, highlighting the critical need for data management skills. Machine Learning, a central component of Data Science, appears in 4,835 listings, indicating its strong relevance in the field. Java, another key player, is found in 4,901 postings, suggesting a continuous demand for its robust applications. Furthermore, the increasing adoption of AI technologies, with a frequency of 2,779, indicates a growing trend towards automation and advanced analytics. These insights reflect the necessary competencies for Data Science Engineer roles in Poland's competitive job market, as illustrated in the accompanying chart.
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