Agency Partners
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.
In recent weeks, the Data Data Science Engineer job market in Belgium Liège has showcased a dynamic landscape. During the past 12 weeks, there has been a notable increase in job openings, particularly peaking at 8 new postings in week 9. However, the market also experienced significant closures, with 8 jobs closed in week 14. This indicates a tight hiring environment, with an overall net increase of only 4 positions since week 7. Compared to other European regions, the fluctuation in job openings and closures for Data Data Science roles in Liège highlights the competitive demand, which hiring managers should consider when devising recruitment strategies for talent acquisition.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 28 |
|
TieTalent | Switzerland | Information Technology & Services | 2017 | 18 |
|
Outlier | United States | Information Technology & Services | 2023 | 12 |
|
Cegeka | Belgium | Information Technology & Services | 1992 | 11 |
|
Belgie Vacature | Netherlands | Human Resources | 2011 | 11 |
|
Extia | France | Information Technology & Services | 2007 | 10 |
|
Capgemini | France | Management Consulting | 1967 | 10 |
|
|
Natuurpunt | Belgium | Nonprofit Organization Management | 2001 | 10 |
|
|
In4Matic | Belgium | Information Technology & Services | 1999 | 10 |
|
|
Devoteam | France | Management Consulting | 1995 | 8 |
The current job market for Data Data Science Engineers in Belgium presents a challenging landscape for hiring managers, particularly when compared to neighboring countries. With a reported count of job openings that significantly outpaces the talent pool, Belgium's ratio indicates a tightening labor market. In contrast, countries like Germany, France, and the Netherlands boast a more favorable jobs-to-talent ratio, suggesting an easier recruitment process for organizations in those regions. Consequently, CTOs and Engineering Managers in Belgium must adopt proactive recruitment strategies to attract qualified Data Data Science candidates. As the demand for Data Data Science skills continues to grow, hiring trends are expected to shift, emphasizing the importance of understanding market dynamics within Belgium Liège and its broader implications in Europe.
In the current job market for Data Data Science Engineers in Belgium Liège, the seniority distribution reveals a strong demand for Mid-Senior level professionals, comprising 55% of available positions. This is followed by Associate roles at 22% and Entry level positions at 17%. Such insights underscore the importance of tailored recruitment strategies for CTOs and hiring managers aiming to attract top talent within the region's competitive tech sector.
The employment type distribution for engineering roles in Belgium reveals a strong preference for Full-time positions, accounting for 88% of opportunities. Contract roles follow with 12%, indicative of a flexible hiring approach, while Part-time positions represent a minimal share at 1%. This data highlights the robust demand for Data Data Science Engineers in Belgium, particularly in urban centers such as Liège.
The time to hire for Data Data Science Engineers in Belgium reveals noteworthy patterns that can inform recruitment strategies for CTOs and hiring managers within the region. A significant proportion of candidates, approximately 39% of hires, are secured within a timeframe of 30 to 40 days, indicating a competitive hiring environment amidst increasing demand. Notably, around 23% of Data Data Science roles are filled in 20 to 30 days, reflecting a potential opportunity for organizations looking to speed up their hiring processes. However, hiring times exceeding 80 days account for a minor fraction, emphasizing the importance of prompt recruitment practices to attract top talent in the tech sector. For those navigating the Data Data Science job market in Belgium's Liège region, understanding these hiring trends is crucial for positioning and ensuring recruitment efficiency.
The Data Data Science job market in Estonia has shown significant activity in recent months, with fluctuations in job openings that reached a peak of 9 positions in week 20, followed by a decline to just 1 opening in week 23. This trend indicates a tightening labor market, suggesting that hiring managers may find it increasingly competitive to secure top talent.
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The Data Engineer job market in Uppsala, Sweden, has shown dynamic activity over the past three months, with 19 new roles posted while 22 positions were closed, indicating a competitive environment.
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The Data Engineers job market trends in Portugal, particularly in Lisbon, exhibit a competitive landscape with 1,161 job openings predominately in the capital, representing 89% of opportunities across the country.
View ReportIn Belgium, the location distribution for Data Engineers job openings highlights Brussels as the dominant hub, accounting for 55% of the total positions available. Antwerp follows with 14% of the job market, while Ghent comprises 10% of openings. Liège, with 5% of positions, showcases a noteworthy presence within the overall job landscape. For a visual representation of these trends, please refer to the accompanying chart.
In the competitive landscape of Data Data Science jobs in Belgium, particularly in Liège, certain technologies have emerged as essential tools for professionals in the field. Notably, Python leads the pack with an impressive usage frequency of 10,509, making it a top choice for Data Science Engineers. Following closely is Machine Learning, utilized by 3,809 professionals, underscoring its critical role in data-driven decision-making. SQL is also a fundamental technology, with a frequency of 3,659, emphasizing its importance for data manipulation and querying. Java, at 3,675, remains a staple in enterprise-level applications, while AI, utilized by 2,262 practitioners, highlights the growing emphasis on intelligent data solutions. For further insights, please refer to the accompanying chart showcasing these technology trends.
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