Data Science Developer Hiring Trends in Graz, 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 Engineer job market in Austria Graz has seen notable fluctuations, with a total of 10 openings over the past 12 weeks; however, the number of closures is increasing, indicating a competitive landscape for hiring managers.
A significant portion of the job market is concentrated in Vienna, accounting for 52% of job openings, while Graz and Linz both represent 7%, emphasizing the concentration of opportunities within major urban centers.
The talent pool for Data Science Engineers is limited, with the hiring market showing a competitive environment, necessitating tailored recruitment strategies from CTOs and Engineering Managers to attract qualified candidates.
Mid-Senior level positions make up 43% of the available roles in Graz, indicating a robust demand for experienced professionals, while 30% of positions are entry-level, highlighting opportunities for emerging talent.
The median time to hire for Data Data Science Engineer positions in Austria is 33 days, suggesting the need for efficient recruitment processes to secure top talent in a timely manner.

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

Over the past 12 weeks, the Data Science Engineer job market in Austria Graz has exhibited notable fluctuations. Weekly job openings peaked at two positions on multiple occasions but did not consistently reflect an upward trend, as the total number of jobs opened reached a cumulative total of 10. Conversely, the closure of jobs has seen an increasing trend, with closures peaking at three positions in one week. This resulted in a net decrease in available positions for Data Science Engineers, contrasting with the stability seen in other tech roles across Europe. Hiring managers, particularly CTOs and Engineering Managers, may want to reconsider recruitment strategies to attract talent in a competitive market.

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 landscape of the Data Data Science Engineers job market in Austria, particularly in Graz, reveals a competitive environment for hiring managers. With a significant number of job openings compared to the relatively limited talent pool, Austria's ratio of talent availability to job opportunities suggests that securing qualified candidates may prove challenging. For example, while Austria faces a talent pool-to-job opening ratio that highlights difficulties in recruitment, countries like Germany, with a larger talent pool, and the Netherlands, where demand also surpasses supply, exhibit more favorable hiring conditions. In contrast, Poland presents a different scenario, where the abundance of talent in the technology sector offers a more attractive option for CTOs and Engineering Managers looking to fill positions in Data Data Science. As such, recruitment strategies in Austria Graz's tech sector must be tailored to address these emerging challenges, focusing on strengthening employer branding and leveraging innovative hiring techniques.

Seniority distribution of Data Science Engineer job openings in Graz

Seniority Distribution of Data Science Engineering Jobs in Graz

In the Data Data Science Engineering job market in Austria Graz, the seniority distribution reveals significant insights for hiring managers. Mid-Senior level positions constitute 43% of available jobs, while Entry level roles account for 30%. Additionally, Associate positions make up 26% of the market, highlighting a robust demand for mid-career professionals in this field.

Preferred employment type for Engineering roles in Austria

In Austria, the employment type distribution for engineering roles highlights a strong preference for full-time positions, accounting for 95% of the job market with 16,679 openings. Part-time roles represent 4% with 806 available positions, while contract opportunities make up 4% as well, totaling 684 listings. This distribution emphasizes the predominant demand for full-time Data Data Science Engineer roles in Austria, particularly in urban centers like Graz.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

In Austria, the hiring landscape for Data Science Engineers reveals varied time to hire distributions. The largest segment, comprising 311 positions, was filled within 30 days, indicating a strong availability of candidates willing to enter the market quickly. Following this, 174 roles were taken within 25 days, reflecting an eagerness among employers and candidates alike. Notably, as the time to hire extends beyond 30 days, counts decrease significantly, with only 7 hires completing the process in 100 days. This trend provides valuable insights for CTOs and hiring managers in Austria Graz, highlighting the importance of efficient recruitment strategies to attract top talent in the rapidly evolving Data Science sector.

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Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

In the Austrian job market for Data Science Engineers, Vienna dominates with 52% of the total job openings, reflecting its status as the capital and a major tech hub. Following Vienna, Linz represents 7% of the market, while Graz accounts for 7% as well. The combined presence of these three cities highlights the concentration of opportunities and the competitive landscape within Austria's data science sector. For further details, please refer to the accompanying chart.

Most sought after technologies in Graz for Data Science

Key technologies for Data Science Engineers

In the evolving Data Data Science job market, particularly in Austria Graz, several technologies stand out due to their high frequency of usage. Python leads the pack with a notable frequency of 5,846, demonstrating its dominance in data analysis and machine learning applications. Following closely, SQL is utilized in 2,078 instances, showcasing its importance in database management and data manipulation tasks. The popularity of Machine Learning technologies is evident with a frequency of 3,002, reflecting a growing trend among employers seeking advanced analytical capabilities. Other significant technologies include Java, with a frequency of 1,689, and AI at 1,795, both crucial for developing intelligent systems and applications. For a visual representation of these technologies and their utilization in the market, refer to the accompanying chart.

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