Data Science Developer Hiring Trends in Vienna, Austria

This report was last updated on Sep 6, 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 Austria, particularly in Vienna, demonstrates notable fluctuations, with a peak of 18 job openings recorded in week 27, indicating robust demand; however, this has sharply declined to only 2 roles in both weeks 28 and 35.
A total of 84% of job openings for Data Data Science Engineers are concentrated in Vienna, underscoring the city's pivotal role in attracting talent, while Linz and Graz account for significantly lower market shares at 12% and 11% respectively.
The talent pool for Data Data Science Engineers in Austria remains substantial, though hiring for these positions can be moderately challenging, as evidenced by a competitive jobs-to-talent ratio that requires strategic recruitment efforts from CTOs and hiring managers.
The current median time to hire Data Engineers in Austria stands at 33 days, with a major concentration of hires occurring within the 30-day mark, emphasizing the need for agile recruitment strategies for swift talent acquisition.
Key companies hiring Data Data Science Engineers in Austria include Canonical, TieTalent, and Frequentis, reflecting a diverse range of industries invested in data science capabilities.

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

The Data Data Science Engineers job market in Austria, particularly in Vienna, has exhibited notable fluctuations over the past 12 weeks. A peak of 18 new job openings was recorded in week 27, indicating a strong demand for talent in this sector; however, the total count of weekly job postings has seen a sharp decline, with only 2 new roles opening in both weeks 28 and 35. Comparatively, the number of closed positions surged in weeks 25 and 26, with 11 and 17 jobs respectively, suggesting a challenging environment for hiring managers. This trend highlights the need for strategic recruitment initiatives, especially for CTOs and hiring leads seeking to fill Data Science roles, as the current trajectory indicates a tightening availability of candidates in Austria compared to other European tech markets.

Who else is hiring for data Engineers in Austria:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	24
TieTalent	Switzerland	Information Technology & Services	2017	22
Frequentis	Austria	Information Technology & Services	1947	13
TELUS Digital	Canada	Information Technology & Services	2005	11
Red Bull	Austria	Food & Beverages	1987	9
Porsche Holding	Austria	Wholesale	1947	7
COSMO CONSULT	Germany	Information Technology & Services	1996	7
FH Technikum Wien	null	null	null	7
eurofunk Kappacher GmbH	Austria	Information Technology & Services	1969	6
Raiffeisen Software GmbH	Austria	Information Technology & Services	2015	6

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Talent pool vs job openings for Data Engineers in Austria

How competitive it is to hire Data Engineers in Austria

In Austria, particularly in Vienna, the data science job market is characterized by a competitive landscape, with a notable number of job openings and a sizable talent pool. Comparatively, Austria exhibits a jobs-to-talent ratio that suggests moderate hiring difficulty; the available talent pool outweighs the current job openings, indicating potential challenges in fulfilling specific skill set requirements. Countries such as Germany, France, and the Netherlands show similar trends, with a higher number of job vacancies than candidates, amplifying the competition among hiring managers. This scenario necessitates tailored recruitment strategies for CTOs seeking to attract and retain senior data science talent in Austria and beyond.

Seniority distribution of Data Science Engineer job openings in Vienna

Seniority Distribution of Data Science Engineering Jobs in Vienna

In the Data Science Engineering job market in Austria, Vienna, the distribution of roles indicates a strong demand for Mid-Senior level professionals, comprising 39% of the available positions. This is closely followed by Entry level positions at 37%, while Associate roles account for 14%. These trends reflect the diverse needs within the tech sector, presenting hiring managers with clear insights into the seniority levels that dominate the recruitment landscape.

Preferred employment type for Engineering roles in Austria

In the Austrian software development job market, the distribution of engineering roles shows a clear preference for full-time positions, which account for 95% of the total employment opportunities. Part-time roles represent 4% of the market, while contract positions make up 4% as well. This data highlights the significant demand for permanent employment among Data Data Science Engineers in Austria, particularly in Vienna.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

The time to hire for Data positions in Austria reflects a dynamic labor market, with a significant concentration of candidates hired around the 30-day mark, accounting for 290 placements. Following this, the 25-day interval also shows a strong presence with 167 hires. In contrast, longer hiring durations, such as those extending beyond 60 days, see markedly fewer counts, indicating a potentially competitive landscape for attracting top talent within shorter time frames. This data underscores the importance of agile recruitment strategies for CTOs and engineering leaders in Austria's tech sector, particularly in the bustling city of Vienna.

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Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

In Austria's Data Science Engineers job market, Vienna stands out as the leading city, accounting for 84% of job openings in this sector. Following Vienna, Linz and Graz represent a modest share of the market with 12% and 11% respectively. This concentration underscores Vienna's pivotal role in attracting Data Data Science talent, as illustrated in the accompanying chart.

Most sought after technologies in Vienna for Data Science

Key technologies for Data Science Engineers

In the dynamic job market for Data Data Science Engineers in Austria, particularly in Vienna, several technologies stand out as foundational to the field. The most prevalent technology is Python, utilized in 5,169 job listings, reflecting its crucial role in data manipulation and analysis. Following closely are Machine Learning technologies, present in 2,883 postings, and SQL, appearing in 1,822 roles. Other notable mentions include Java, .NET, and AI, with frequencies of 1,337, 1,250, and 1,763 respectively. A detailed chart accompanying this paragraph illustrates the distribution of these technologies, providing further insights into their significance in the market.

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