Agency Partners
This report was last updated on Sep 6, 2025
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.
Over the past 12 weeks, the Data Engineering job market in Austria has exhibited notable fluctuations. Job openings peaked in week 31 with 71 new positions while the lowest was recorded in week 23, with only 1 opening. In contrast, job closures have shown a concerning trend, with the highest number of positions closed in week 24 at 87, averaging sustained weekly closures thereafter. This disparity indicates that the recruitment landscape for Data Engineers is dynamic, yet competition persists as a significant number of positions are being closed weekly. Compared to other tech roles in Austria, the variation in openings and closures for Data Engineers emphasizes the need for targeted recruitment strategies for CTOs in Austria's tech sector, particularly as the future demand for Data Engineers continues to rise.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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Canonical | United Kingdom | Information Technology & Services | 2004 | 24 |
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TieTalent | Switzerland | Information Technology & Services | 2017 | 22 |
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Frequentis | Austria | Information Technology & Services | 1947 | 13 |
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TELUS Digital | Canada | Information Technology & Services | 2005 | 11 |
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Red Bull | Austria | Food & Beverages | 1987 | 9 |
|
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Porsche Holding | Austria | Wholesale | 1947 | 7 |
|
COSMO CONSULT | Germany | Information Technology & Services | 1996 | 7 |
|
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FH Technikum Wien | null | null | null | 7 |
|
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eurofunk Kappacher GmbH | Austria | Information Technology & Services | 1969 | 6 |
|
|
Raiffeisen Software GmbH | Austria | Information Technology & Services | 2015 | 6 |
The talent market for Data Engineers in Europe presents varied challenges and opportunities, particularly in Austria. With a current count of job openings and a corresponding talent pool, Austria has a talent ratio that suggests moderate difficulty in hiring. In comparison, countries like Germany and the Netherlands show a more favorable talent-to-job opening ratio, indicating a relatively easier recruitment landscape for Data Engineers. Similarly, the demand for Data Developers in France highlights a competitive market scenario. As hiring managers assess the Data job market in Austria, understanding these dynamics is crucial for effective recruitment strategies in Austria's tech sector.
In Austria's Data Engineers job market, the seniority distribution reveals a significant focus on entry-level and mid-senior level roles, comprising 46% and 39% of job openings, respectively. Associate positions account for 14%, illustrating a competitive landscape for aspiring Data Developers. This distribution highlights the need for targeted recruitment strategies for CTOs and tech leads, who must leverage these insights to attract the right talent in the evolving tech sector.
In Austria's engineering job market, the predominant employment type is full-time positions, comprising 94% of the roles available. This is followed by part-time opportunities at 4% and contract positions at 3%. Such distribution highlights a stable preference for full-time employment among Data Engineers in Austria, which is crucial for hiring managers and CTOs to consider while strategizing recruitment in this competitive landscape.
The time to hire distribution for Data jobs in Austria reveals critical trends for hiring managers in the tech sector. A notable concentration of positions, approximately 290, are filled within a 30-day window, underscoring a competitive and dynamic market for Data Engineers. As hiring progresses, another significant group, comprising 167 positions, takes up to 25 days to fill, indicating a strategic window for recruitment strategies for CTOs. Further, the time to hire extends beyond 60 days for around 78 candidates, emphasizing the need for efficient recruitment practices to tap into available Data Developer opportunities. Understanding these trends in hiring Senior Data Developers is essential for navigating the evolving landscape of Austria's technology sector.
The Data Engineers job market trends in Denmark indicate a challenging yet dynamic recruitment landscape, with 2,000 job openings competing against a talent pool of only 1,500 professionals.
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The Data Data Engineer job market in Spain has seen a total of 190 new job postings in the last 12 weeks, reflecting a volatile but promising hiring landscape for CTOs and tech employers.
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The Data Engineers job market trends in Poland, particularly in Krakow, showcase a dynamic landscape with recent fluctuations in job openings indicative of both opportunities and challenges for hiring managers.
View ReportThe location distribution for Data Engineers job openings in Austria reveals a significant concentration in Vienna, which accounts for 84% of the total job listings. Linz follows with 12%, while Graz holds a 12% share as well. These three cities are pivotal in the Data job market in Austria, showcasing Vienna's dominance as a hub for Data Engineer opportunities.
The Data job market in Austria is characterized by a strong emphasis on several key technologies. Notably, SQL emerges as the most utilized technology, with a frequency of 7444, reflecting its critical role in data management and manipulation. Python follows closely, valued for its versatility in data engineering and analysis, appearing 7785 times in job descriptions. Other significant technologies include ETL, which holds a frequency of 2981, and Machine Learning, at 2883, indicating a growing focus on automation and predictive modeling. Additionally, foundational tools such as AWS and Azure are frequently mentioned, with frequencies of 1824 and 1805 respectively, underscoring the cloud-centric approach prevalent in today's data-driven landscape. For a visual representation of these trends, please refer to the accompanying chart that showcases the data points.
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