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Data Science Developer Hiring Trends in Graz, Austria

This report was last updated on Aug 30, 2025

Bence Gedai / Founder

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 Graz has seen 7 new job openings against 12 job closures in the past 12 weeks, indicating a competitive landscape for hiring managers.
  • With 40% of roles at the Mid-Senior level and 29% at the Entry level, there is a balanced demand for both experienced professionals and newcomers in the Data Data Science Engineering market.
  • Vienna dominates the Data Data Science Engineers job market with 54% of openings, while Graz represents a critical opportunity for recruitment, accounting for 7% of roles.
  • The job market presents challenges for hiring Data Data Science Engineers, emphasizing the need for innovative recruitment strategies as the jobs-to-talent ratio suggests a competitive environment.
  • The median time to hire for Data Data Science Engineers in Austria Graz is 33 days, with a notable preference for longer recruitment cycles, highlighting the importance of strategic hiring practices.
Number of roles opened and closed for Data Science Engineers in Graz in the last 3 months

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

In the past 12 weeks, the job market for Data Data Science Engineers in Austria Graz has exhibited a fluctuating recruitment landscape. While there were only seven new job openings reported, job closures have seen a total of 12 over the same period. This indicates a trend of higher job closures compared to openings, highlighting potential challenges for hiring managers. When compared to other roles in Graz, the data suggests a more competitive environment for Data Data Science positions. In broader European contexts, similar trends indicate heightened demand but also significant turnover, necessitating robust recruitment strategies for CTOs and hiring leads.

Who else is hiring for data Engineers in Austria:

Company name Country Industry Founded # Job openings
Canonical logo Canonical United Kingdom Information Technology & Services 2004 25
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 20
TELUS Digital logo TELUS Digital Canada Information Technology & Services 2005 13
Frequentis logo Frequentis Austria Information Technology & Services 1947 13
Red Bull logo Red Bull Austria Food & Beverages 1987 8
Porsche Holding logo Porsche Holding Austria Wholesale 1947 7
Bending Spoons logo Bending Spoons Italy Information Technology & Services 2013 7
COSMO CONSULT logo COSMO CONSULT Germany Information Technology & Services 1996 7
FH Technikum Wien logo FH Technikum Wien null null null 7
eurofunk Kappacher GmbH logo eurofunk Kappacher GmbH Austria Information Technology & Services 1969 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 for the Data Data Science Engineers job market in Austria indicates a challenging landscape for hiring managers. With a significant number of job openings relative to the available talent pool, the jobs-to-talent ratio suggests a competitive environment. For instance, while Austria faces a notable demand for Data Engineers, countries like Germany and the Netherlands maintain a more balanced ratio, making recruitment more feasible. In contrast, in Eastern European nations such as Poland, the availability of talent surpasses demand, potentially easing hiring efforts. Consequently, for CTOs and hiring managers in Austria Graz's tech sector, implementing innovative recruitment strategies is crucial to attract the limited pool of qualified Data Data Science Engineers.

Seniority distribution of Data Science Engineer job openings in Graz

Seniority Distribution of Data Science Engineering Jobs in Graz

In Austria Graz, the Data Data Science Engineering job market exhibits a notable seniority distribution, with 40% of positions classified as Mid-Senior level, followed by 29% at the Entry level, and 21% for Associate roles. This distribution indicates a balanced demand for both experienced professionals and newcomers, providing valuable insights for hiring managers focused on recruitment strategies in this evolving landscape.

Chart about preferred employment type for Engineering roles in Austria

Preferred employment type for Engineering roles in Austria

In Austria's engineering sector, the employment type distribution reveals a strong preference for full-time positions, comprising 95% of opportunities. Part-time roles account for 4%, while contract positions make up 4% of the job market. This data underscores the dominance of full-time employment, illustrating the trends in the Data Data Science Engineers job market in Austria Graz.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

In the competitive Data Data Science job market in Austria, particularly in Graz, the distribution of time to hire reflects significant variation. Positions requiring 25 days to hire dominate with 164 counts, showing a notable preference for slightly longer recruitment cycles. Meanwhile, a considerable number of roles take 30 days to fill, totaling 289 counts, indicating that employers are often willing to invest time to secure the right candidate. As hiring trends evolve, it is essential for CTOs and recruitment teams to adapt their strategies, recognizing that roles taking up to 45 days to hire represent a combined total of 119 positions. This data underlines the importance of understanding recruitment dynamics in Austria Graz, as they play a crucial role in shaping future hiring practices for Data Data Science Engineers.

Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

In the context of the Data Data Science Engineers job market in Austria, Vienna leads significantly with 54% of the total job openings, followed by Linz at 8% and Graz at 7%. This distribution highlights the capital’s dominance in the technology sector, while Graz presents a noteworthy opportunity for recruitment in the data science field. Refer to the accompanying chart for a visual representation of these findings.

Most sought after technologies in Graz for Data Science

Key technologies for Data Science Engineers

In the competitive landscape of the Data Data Science job market in Austria Graz, certain technologies stand out prominently. Python leads the way with a remarkable usage frequency of 5,180, making it the primary programming language for Data Science Engineers. Closely following are Machine Learning and SQL, with frequencies of 2,864 and 1,828 respectively, indicating a strong emphasis on these foundational skills. Other technologies such as Data Science itself, Java, and .NET are also prevalent, with frequencies of 1,612, 1,353, and 1,250 respectively. For a comprehensive understanding of the technological landscape, please refer to the attached chart showcasing these frequencies.

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