Data Developer Hiring Trends in Linz, Austria

This report was last updated on Sep 6, 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 Engineers job market trends in Austria, particularly in Linz, reflect a competitive landscape, with fluctuating numbers of job openings and closures indicating challenges for hiring managers.
Over the past three months, Linz has seen a maximum of 9 new postings in week 32, contrasted by a peak of 7 job closures in week 35, suggesting hiring difficulties compared to other technical roles.
With 81% of job openings located in Vienna, Linz accounts for 11% of the total jobs available, establishing it as a significant contender in the Data job market in Austria Linz.
The current job distribution indicates a 50% split between Mid-Senior level and Entry level positions, emphasizing the importance of targeted recruitment strategies for CTOs and engineering managers.
The median time to hire a Data Engineer in Austria is currently 34 days, indicating that swift recruitment processes are essential for hiring managers to remain competitive in securing top talent.

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

In the past 12 weeks, the Data Engineering job market in Austria Linz has shown fluctuating trends. During this period, there were varying counts of new job postings, starting from a low of 1 posting in week 34 and peaking at 9 postings in week 32. However, these openings are contrasted by a noticeable rate of job closures, which peaked at 7 in week 35. This indicates a challenging environment for Data Engineers, as hiring managers must navigate a higher number of closed roles in relation to new openings compared to other technical roles within Austria. When compared to similar positions in other European cities, the dynamics suggest that recruitment strategies for CTOs and engineering managers need to be proactive to secure top talent amidst these emerging trends in the Data job market in Austria Linz.

Who else is hiring for data Engineers in Austria:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	24
TieTalent	Switzerland	Information Technology & Services	2017	22
Frequentis	Austria	Information Technology & Services	1947	13
TELUS Digital	Canada	Information Technology & Services	2005	11
Red Bull	Austria	Food & Beverages	1987	9
Porsche Holding	Austria	Wholesale	1947	7
COSMO CONSULT	Germany	Information Technology & Services	1996	7
FH Technikum Wien	null	null	null	7
eurofunk Kappacher GmbH	Austria	Information Technology & Services	1969	6
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 Engineers job market trends in Austria, particularly in Linz, reveal a competitive landscape when compared to other European countries. Currently, Austria has a relatively high ratio of available talent to job openings, making it moderately easier for hiring managers to recruit qualified Data Engineers. In contrast, countries like Germany and the Netherlands exhibit a similar number of job openings, but with a tighter talent pool, indicating a higher difficulty in securing skilled professionals. Conversely, Poland shows a larger talent pool relative to its job openings, suggesting that recruitment strategies for CTOs in Austria's tech sector may benefit from exploring candidates in neighboring regions. Overall, the future demand for Data Engineers in Austria, particularly in Linz, looks promising but requires strategic hiring approaches to navigate the evolving market dynamics.

Seniority distribution of Data Engineer job openings in Linz

Seniority Distribution of Data Engineering Jobs in Linz

The seniority distribution of Data Engineering jobs in Austria Linz reveals notable trends that are vital for hiring managers. Currently, 50% of the positions are classified as Mid-Senior level, while 49% fall under Entry level. Additionally, Associate roles comprise 13% of the job openings. This distribution highlights a significant demand for experienced professionals, making recruitment strategies essential for CTOs and Engineering Managers navigating the competitive landscape.

Preferred employment type for Engineering roles in Austria

In the Austrian engineering job market, the employment type distribution reveals a strong preference for full-time positions, which constitute 95% of available roles. Part-time opportunities make up 4%, while contract positions account for 3%. These statistics suggest a robust inclination towards full-time employment, indicating potential avenues for recruitment strategies tailored for CTOs and hiring managers in the tech sector.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

The time to hire distribution for Data jobs in Austria reveals insightful patterns critical for hiring managers. A significant portion of candidates, totaling 290, are hired within a 30-day timeframe, indicating a competitive landscape for Data Engineers in Austria, particularly in Linz. The data further illustrates a drop in hiring frequency as the timeline extends beyond 30 days, with counts dwindling sharply to 75 for 40 days and 44 for 45 days. This suggests that companies must refine their recruitment strategies to secure top talent swiftly, as delays beyond this period may compromise their ability to attract desired candidates in the rapidly evolving tech sector. Hiring managers and CTOs should take note of these trends to optimize their approach in navigating the Data job market in Austria, particularly in Linz.

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Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

In the competitive landscape of Data Engineers job market trends in Austria, Vienna stands out as the primary hub, with 81% of the job openings based there. Following Vienna, Linz boasts 11% of the total openings, solidifying its position as a key location for data job market in Austria Linz. Graz follows closely with 10%, indicating a substantial distribution of Data Engineer opportunities across these cities, as illustrated in the accompanying chart.

Most sought after technologies in Linz for Data

Key technologies for Data Engineers

The data job market in Austria, specifically in Linz, is significantly influenced by a variety of key technologies. Notably, Python stands out as the most frequently utilized technology, boasting a usage frequency of 7,785. Following closely are SQL and ETL, with frequencies of 7,444 and 2,981, respectively. Machine Learning and Data Engineering also display considerable prominence, with frequencies of 2,883 and 3,749. These insights underscore the critical tools that hiring managers should prioritize when looking to attract and retain talent within the competitive landscape of data roles in Austria. For a detailed visualization of these trends, please refer to the accompanying chart.

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