Data Engineer 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 Data Data Engineer job market in Austria is currently characterized by a significant concentration of job openings, predominantly in Vienna, which represents approximately 82% of the total 2,264 openings across the country.
There are currently 18 closed positions indicating a concerning trend where job vacancies are not being filled, contrasting with the robust hiring trends observed in other European tech markets.
The preferred employment type in Austria's tech sector leans heavily towards full-time roles, comprising 95% of openings, which is crucial for hiring managers looking to attract Data Engineer talent.
The competition for Data Engineers in Austria is intense, with a high jobs-to-talent pool ratio, making it essential for hiring managers and CTOs to refine their recruitment strategies to secure top-tier candidates.
The median time to hire for Data Engineers is 39 days, suggesting a need for streamlined recruitment processes and proactive engagement strategies to better align with the competitive hiring landscape.

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

The Data Data Engineer job market in Austria has exhibited fluctuating trends over the recent weeks, with a peak of 19 new positions posted in week 31, compared to a declining count that saw only 1 job posted in week 28. In total, during this 12-week period, 18 jobs were closed, which highlights a concerning trend of job vacancies not being filled. This scenario stands in contrast to the general hiring trends in other European countries, as well as other tech roles within Austria, indicating that CTOs and hiring managers may need to refine their recruitment strategies to attract top Data Engineers amidst growing 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 Engineer job market in Austria exhibits a competitive landscape, with a notable ratio of available job openings compared to the talent pool. Currently, Austria has a jobs-to-talent pool ratio that indicates significant demand for Data Engineers, highlighting challenges for hiring managers in filling these positions. In comparison, countries like Germany and France showcase a slightly more balanced ratio, while the United Kingdom presents an even tighter talent market. Given the current hiring trends, CTOs and engineering managers in Austria may find it increasingly difficult to secure top-tier Data Engineer talent, necessitating proactive recruitment strategies to attract skilled professionals.

Seniority distribution of Data Engineer Engineer job openings in Austria

Seniority Distribution of Data Engineer Engineering Jobs in Austria

The seniority distribution of Data Data Engineer roles in Austria reveals a competitive landscape. 41% of opportunities are at the Mid-Senior level, closely followed by Entry level positions at 40%. Associate roles make up 14% of the market, indicating a strong demand for both entry-level talent and experienced professionals in the data engineering sector.

Preferred employment type for Engineering roles in Austria

In Austria, the employment type distribution for engineering roles reveals a clear preference for full-time positions, comprising 95% of the job market. Part-time roles account for 5%, while contract positions make up a mere 4%. This data underscores the need for hiring managers to prioritize full-time recruitment strategies when seeking Data Engineer talent 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 Engineer roles in Austria shows a diverse distribution, with the majority of positions taking approximately 30 days to fill, accounting for 311 instances. Notably, there is a significant drop in hiring frequency as the time to hire extends beyond this period, with only 50 positions hired within 45 days and further decreasing to 7 for 100 days. This data underscores the necessity for hiring managers and CTOs to adapt their recruitment strategies, particularly for Data Data Engineer positions in Austria, in response to these time frames. Recruitment processes that streamline candidate engagement could mitigate prolonged hiring cycles and better align with market trends.

Expolore reports from other European Developer talent pools

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Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

The job market for Data Engineers in Austria reveals a significant concentration in Vienna, which accounts for approximately 82% of the total openings, with 2,264 available positions. Following Vienna, Linz represents 12% of the market with 339 job opportunities, while Graz contributes 11% with 327 roles. This data underscores Vienna's dominance in the Data Engineer job market, highlighting the capital as a pivotal location for recruitment efforts.

Most sought after technologies in Austria for Data Engineer

Key technologies for Data Engineer Engineers

In analyzing the Data Engineer job market trends in Austria, the most prevalent technologies utilized by professionals include SQL and Python, with frequencies of 1,485 and 1,459 respectively. Other critical technologies include ETL processes, which appear 619 times, and Data Engineering practices, referenced 801 times. Additionally, cloud technologies are gaining traction, especially AWS with 342 mentions and Azure with 252. This data is visually represented in the accompanying chart, highlighting the technological landscape crucial for Data Engineer recruitment strategies in Austria's tech sector.

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