Data Science Developer Hiring Trends in 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 current Data Data Science job market in Austria features a total of 2,000 job openings, indicating a healthy demand for Data Data Science Engineers, while the available talent pool consists of approximately 3,000 professionals.
Over the past 12 weeks, the Austrian job market has recorded 285 new Data Data Science job postings, alongside 312 closures, highlighting a competitive and fluctuating landscape that requires agile recruitment strategies.
Top hiring companies in Austria include Frequentis, Eurofunk Kappacher GmbH, and Raiffeisen Software GmbH, which collectively represent a significant share of opportunities available in the local market.
Vienna is the primary city for hiring Data Data Science Engineers, accounting for 86% of job openings, with Linz and Graz trailing at 12% and 11%, respectively, emphasizing the need for concentrated recruitment efforts in the capital.
The median time to hire for Data Science Engineers stands at 33 days, with a notable trend indicating that most successful hires are made within the first 30 days, underscoring the urgency for hiring managers to streamline their recruiting processes.

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

Over the past 12 weeks, the Data Data Science job market in Austria has shown notable fluctuations in job postings. With a peak of 40 new positions in week 22, the market saw a total of 285 new job postings, while 312 positions were closed during the same period. The average weekly openings were 23.75 jobs, contrasting sharply with the average closings of 26 jobs per week, indicating a competitive landscape for Data Data Science Engineers in Austria. This trend in hiring highlights the increasing demand for Data Data Science Engineers in Austria compared to other roles and suggests that recruitment strategies for CTOs and hiring managers will need to adjust to attract talent amid rising competition.

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 Data Data Science Engineers job market in Austria reflects a competitive landscape, particularly when compared to neighboring countries. With a count of 2,000 job openings and a talent pool of 3,000 professionals, Austria presents a jobs-to-talent ratio of 1.5, indicating a moderately challenging hiring environment. In contrast, Germany exhibits a more favorable ratio at 2.5, suggesting easier recruitment conditions, while Switzerland's ratio stands at 2.0. Conversely, Italy's ratio of 1.2 points to a tighter talent market. Consequently, hiring managers seeking to fill Data Data Science positions in Austria may need to refine their recruitment strategies to attract and retain top talent amidst growing demand.

Seniority distribution of Data Science Engineer job openings in Austria

Seniority Distribution of Data Science Engineering Jobs in Austria

In the Austrian Data Data Science job market, the seniority distribution reveals distinct trends. Entry-level positions account for 49% of the total roles available, signaling a strong influx of newcomers in the field. Meanwhile, Mid-Senior level roles comprise 44%, indicating significant demand for experienced professionals. Additionally, Associate positions make up 16% of the market, reflecting a growing need for specialized skills in this competitive landscape.

Preferred employment type for Engineering roles in Austria

In Austria's engineering job market, the primary employment type is Full-time, making up 95% of available positions, followed by Part-time roles at 4% and Contract opportunities at 3%. This distribution highlights the strong preference for stable, long-term employment among candidates and indicates a notable trend in the Data Data Science Engineer job market in Austria.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

The time to hire for Data Science Engineers in Austria reveals significant trends that can inform recruitment strategies for CTOs and hiring managers. The largest share of hires, totaling 311 instances, occurred within 30 days, indicating a robust demand for quick recruitment processes. Additionally, hiring trends show that 174 candidates were brought on board within 25 days, further emphasizing the competitive landscape of the Data Science job market in Austria. However, as time increases, the counts decrease, suggesting that recruitment efforts beyond 30 days may face diminishing returns. Understanding these time-to-hire dynamics can help tech leaders better align their hiring practices with emerging trends in the Data Science job market.

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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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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 Engineers job openings highlights a significant concentration in the capital, Vienna, which accounts for 86% of the total job postings. Linz follows with 12% and Graz with 11%, reflecting a notable disparity in opportunities within the region. These figures suggest that hiring managers should focus their recruitment strategies primarily in Vienna, as it remains the epicenter for Data Data Science Engineer opportunities in the country.

Most sought after technologies in Austria for Data Science

Key technologies for Data Science Engineers

The data analysis indicates a clear preference for certain technologies among Data Data Science roles in Austria. Python leads the pack with a frequency of 5846, demonstrating its essential role in data-driven applications. Following closely, Machine Learning appears with a frequency of 3002, highlighting its significance in predictive analytics. SQL, a cornerstone for database interactions, has a strong presence at 2078, while Java, recognized for its versatility, accounts for 1689. The attached chart illustrates the frequency trends of these technologies, offering insight into the tools that are shaping the Data Data Science job market in Austria.

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