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Data Science Developer Hiring Trends in Linz, Austria

This report was last updated on Aug 16, 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 Engineer job market in Austria Linz has seen the opening of 19 new positions and the closure of 13 roles in the past 12 weeks, indicating a cautiously steady hiring environment.
  • In Linz, mid-senior level positions dominate the market, making up 46% of job openings, while entry-level roles constitute 38%, suggesting a robust influx of new talent alongside a demand for experienced professionals.
  • The city of Linz represents 12% of data science opportunities in Austria, with 339 job openings, although Vienna remains the dominant hub with 2,264 positions available.
  • The competition to hire qualified Data Data Science Engineers in Austria is intensifying, driven by a challenging recruitment landscape where the number of job openings surpasses the available talent pool.
  • Hiring managers in Austria, particularly in Linz, should anticipate a median time to hire of 33 days, emphasizing the need for strategic recruitment initiatives to attract skilled candidates promptly.
Number of roles opened and closed for Data Science Engineers in Linz in the last 3 months

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

In the past 12 weeks, the Data Data Science Engineer job market in Austria Linz has exhibited fluctuating activity, with a total of 19 new positions opened and 13 roles closed. The peak week saw 3 job postings in weeks 22, 30, and 31, indicating a maintaining interest in hiring within this domain. In contrast to other roles in Austria, the job market for Data Science Engineers appears steady but less dynamic when compared to the broader European landscape, where hiring trends show more robust growth. Specifically, the difference between openings and closures suggests a cautious but consistent demand among employers in Linz for Data Science talent, making targeted recruitment strategies essential for CTOs and team leads aiming to secure top candidates.

Who else is hiring for data Engineers in Austria:

Company name Country Industry Founded # Job openings
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 27
Canonical logo Canonical United Kingdom Information Technology & Services 2004 25
TELUS Digital logo TELUS Digital Canada Information Technology & Services 2005 15
Frequentis logo Frequentis Austria Information Technology & Services 1947 12
eurofunk Kappacher GmbH logo eurofunk Kappacher GmbH Austria Information Technology & Services 1969 10
Porsche Holding logo Porsche Holding Austria Wholesale 1947 8
Bending Spoons logo Bending Spoons Italy Information Technology & Services 2013 7
Liebherr Group logo Liebherr Group Germany Machinery 1949 7
COSMO CONSULT logo COSMO CONSULT Germany Information Technology & Services 1996 7
Raiffeisen Software GmbH logo 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 assessing the Data Data Science Engineers job market trends in Austria, Linz, it is crucial to evaluate the balance between job openings and the talent pool. Austria currently faces a challenging recruitment landscape with a ratio indicating a scarcity of qualified candidates relative to the number of available positions. Comparatively, countries such as Germany and the Netherlands exhibit a more favorable job-to-talent ratio, suggesting that hiring in those regions is less competitive. Meanwhile, in Eastern European nations like Poland, the talent market is also expanding, presenting ample opportunities for recruitment. In light of these insights, hiring managers in Linz should prepare for intensified competition in securing top Data Data Science Engineer talent, reinforcing the importance of strategic recruitment initiatives tailored to this unique market.

Seniority distribution of Data Science Engineer job openings in Linz

Seniority Distribution of Data Science Engineering Jobs in Linz

In the Austrian job market for Data Data Science Engineering, particularly in Linz, the seniority distribution reveals significant insights. Mid-Senior level positions represent 46% of the job openings, establishing a strong demand for experienced professionals. Entry level roles comprise 38% of the market, indicating a robust influx of new talent. Furthermore, Associate positions account for 8%, highlighting the need for candidates with intermediate experience in the industry.

Chart about preferred employment type for Engineering roles in Austria

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. Part-time roles represent 5% of the total opportunities, while contract positions comprise 4% of the employment landscape. This data underscores the dominance of full-time employment in the engineering sector, offering insights for hiring managers in Linz and beyond.

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 trends that hiring managers should consider. A majority of candidates, amounting to 311 job openings, are filled within a 30-day period, indicating a competitive talent market. Notably, the count of roles taking 25 days to fill stands at 174, further emphasizing the urgency for recruitment strategies in this domain. Hiring managers in the tech sector, especially CTOs and Engineering Managers, should be prepared for time frames that can extend beyond 30 days, as evidenced by 122 roles taking 35 days and 93 roles extending to 60 days. The demand for skilled Data Science professionals in Austria, particularly in cities like Linz, underscores the importance of timely and strategic hiring processes.

Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

In Austria, the distribution of Data Data Science Engineer job openings highlights Vienna as the leading city, accounting for 78% of the total opportunities with 2,264 available positions. Linz follows with 12% of the job market, representing 339 openings, while Graz comprises 11% with 327 available roles. These figures illustrate a concentrated focus on Vienna, underscoring the importance of this capital city in the Data Data Science job market landscape.

Most sought after technologies in Linz for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market, professionals in Austria, particularly in Linz, predominantly utilize a variety of technologies. According to the data, Python emerges as the most utilized language, with a significant frequency of 5,846. Following closely are Machine Learning tools, which are employed by 3,002 professionals, reflecting their growing importance in data analysis. SQL, used by 2,078 individuals, is crucial for data management tasks. The prominence of Java, at 1,689, and the comprehensive Data Science methodology, with a frequency of 1,671, indicates a solid foundation for data-driven decision-making. This data is visually represented in the accompanying chart, which illustrates the technology trends prevalent in Austria's Data Data Science job market.

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