Data Science Developer Hiring Trends in Vienna, Austria

This report was last updated on Aug 16, 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 trends in Austria Vienna highlight a total talent pool of approximately 1,200 candidates, presenting a jobs-to-talent pool ratio of 4, indicating a moderate competition for hiring managers.
Currently, there are 300 job openings for Data Science Engineers in Austria, with a significant concentration of roles in the capital city of Vienna, which accounts for 86% of the total listings.
The job market has shown volatility in the last 12 weeks, with a peak of 19 new positions in week 22 followed by a decline, emphasizing the necessity for effective recruitment strategies by CTOs and Engineering Managers.
The top three companies hiring for Data Data Science Engineer roles include Frequentis, eurofunk Kappacher GmbH, and Raiffeisen Software GmbH, signaling where opportunities and mentorship may exist for potential candidates.
The median time to hire for Data Science Engineer roles stands at 33 days, suggesting that hiring managers should streamline their recruitment processes to effectively attract and secure top talent in a competitive market.

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

The data for Data Data Science Engineering jobs in Austria Vienna reveals a significant fluctuation in the job market over the past 12 weeks. There was a notable peak in week 22 with 19 new positions created, yet this was followed by a sharp decline, culminating in just 2 new postings in week 28. Conversely, job closures were consistently high, especially in weeks 26 and 28, where 17 and 16 roles respectively were closed. This pattern suggests a concerning disparity between openings and closures, highlighting potential recruitment challenges for CTOs and hiring managers in Austria Vienna's tech sector. Compared to similar roles across Europe, the volatility in job creation is indicative of an urgent need for effective recruitment strategies to balance the demand for Data Data Science Engineers.

Who else is hiring for data Engineers in Austria:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	27
Canonical	United Kingdom	Information Technology & Services	2004	25
TELUS Digital	Canada	Information Technology & Services	2005	15
Frequentis	Austria	Information Technology & Services	1947	12
eurofunk Kappacher GmbH	Austria	Information Technology & Services	1969	10
Porsche Holding	Austria	Wholesale	1947	8
Bending Spoons	Italy	Information Technology & Services	2013	7
Liebherr Group	Germany	Machinery	1949	7
COSMO CONSULT	Germany	Information Technology & Services	1996	7
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

The current job market for Data Science Engineers in Austria, particularly in Vienna, presents a competitive landscape for hiring managers. With a total of 300 job openings and an available talent pool of 1,200, the jobs-to-talent pool ratio stands at 4. This indicates a moderate level of competition for talent, making the hiring process somewhat challenging. In comparison, countries like Germany exhibit a ratio of 5 with 500 job openings against a talent pool of 2,500, while the Netherlands shows a more favorable ratio of 3.5 with 350 openings and 1,225 candidates. Meanwhile, Poland's recruitment landscape appears even tighter with a lower ratio of 2.5. Consequently, hiring Data Science Engineers in Austria may require more strategic and targeted recruitment efforts.

Seniority distribution of Data Science Engineer job openings in Vienna

Seniority Distribution of Data Science Engineering Jobs in Vienna

In the current Data Data Science Engineer job market in Austria Vienna, the distribution of seniority levels reveals a significant prevalence of Mid-Senior level positions at 43%, followed closely by Entry level roles at 41%. Associate positions comprise 16% of the available opportunities. This seniority structure indicates a robust demand for experienced talent, providing insights for hiring managers seeking to navigate recruitment strategies effectively.

Preferred employment type for Engineering roles in Austria

In the Austrian technology sector, the employment type distribution reveals a strong preference for Full-time roles, which account for 95% of engineering positions. Part-time roles represent 5% of the employment landscape, while Contract positions make up approximately 4%. This distribution underscores the demand for stability in the hiring practices for Data Data Science Engineers, particularly in cities like Vienna.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

The time to hire for Data Science Engineer positions in Austria reveals significant insights into the hiring landscape. The majority of candidates are secured within a 30-day timeframe, accounting for 311 out of 1,000 total hires. Notably, a considerable number of roles are filled within 25 days, reflecting 174 placements, indicating a competitive market. As the timeframe extends, there is a gradual decrease in placements, with only 6 roles filled by the 105-day mark. This distribution underscores the importance for CTOs and hiring managers in Austria Vienna to streamline recruitment strategies to attract top talent swiftly.

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The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.

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Insights for hiring Data Science Engineers in Sweden

The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.

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Insights for hiring Data Engineers in Warsaw

The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.

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Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

In Austria, the location distribution for Data Science Engineer job openings reveals a significant concentration in Vienna, which accounts for 86% of the total job listings. The city leads the market with 2,264 opportunities, highlighting its status as the capital and a tech hub. Following Vienna, Linz and Graz contribute 13% and 13% respectively, with job counts of 339 and 327, pointing towards emerging tech environments in these cities.

Most sought after technologies in Vienna for Data Science

Key technologies for Data Science Engineers

In the competitive Data Science job market in Austria, particularly in Vienna, several technologies stand out as pivotal to securing employment. The predominant language is Python, utilized in a significant 5,846 job postings, showcasing its dominance in data manipulation and analysis. Following closely, SQL is featured in 2,078 postings, essential for data querying and database management. Machine Learning, with 3,002 mentions, reflects an emerging demand for advanced data analysis capabilities. Additionally, Java and AI hold a substantial presence, being referenced in 1,689 and 1,795 job listings, respectively. For a detailed overview of these trends, please refer to the accompanying chart.

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