Data Science 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 job market for Data Data Science Engineers in Austria Linz has recently seen the opening of 18 new positions, juxtaposed with 16 closures, indicating challenges in retention for this sector.
Key technologies in demand include Python, Machine Learning, and SQL, which are imperative for Data Data Science Engineers, reflecting the technologies hiring managers should prioritize in their recruitment strategies.
A significant 42% of current job openings for Data Science Engineers in Linz are at the Mid-Senior level, while 38% are entry level, signifying a diverse range of talent needed to fill positions.
Among Austrian cities, Vienna accounts for 87% of Data Data Science Engineer job openings, while Linz provides 14%, indicating a concentrated market that necessitates targeted hiring strategies for local businesses.
The average time to hire for Data Data Science Engineer roles in Austria stands at 33 days, underscoring the competitive nature of the market and emphasizing the need for efficient recruitment processes.

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

In the past 12 weeks, the job market for Data Data Science Engineer roles in Austria Linz has exhibited noteworthy fluctuations. A total of 18 new positions were opened, with a peak of 4 jobs posted in week 30. However, this growth is juxtaposed with a significant number of closed positions, totaling 16 over the same period. When compared to other roles in Austria Linz, such as software engineering positions, the retention rate for Data Data Science Engineers appears to be challenging, prompting a strategic consideration for hiring managers. Furthermore, in contrast to other European regions, the emerging demand for Data Data Science Programmer roles indicates a competitive landscape, necessitating tailored recruitment strategies for CTOs looking to attract top talent in this sector.

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

In Austria, particularly in Linz, the competition for hiring Data Data Science Engineers is intensified by a notable disparity between job openings and available talent. With a job count significantly exceeding the talent pool size, the jobs-to-talent ratio suggests a challenging environment for CTOs and hiring managers seeking to fill these crucial roles. Comparatively, countries like Germany and the Netherlands show more favorable ratios, indicating a slightly easier hiring landscape, while in Poland, the number of job openings remains high but is balanced by a larger talent pool, creating a different dynamic. As a result, recruitment strategies in Austria must be increasingly innovative to attract qualified Data Data Science Engineers, particularly in a market where future demand is anticipated to rise sharply.

Seniority distribution of Data Science Engineer job openings in Linz

Seniority Distribution of Data Science Engineering Jobs in Linz

In the data science engineering job market in Austria Linz, the seniority distribution reveals notable trends that hiring managers should consider. The Mid-Senior level comprises 42% of job openings, indicating a robust demand for experienced professionals. Entry level positions represent 38%, highlighting opportunities for new talent entering the field. Additionally, Associate roles account for 10%, suggesting that while there is a small demand for early-career professionals, it remains a valuable segment in the overall job landscape.

Preferred employment type for Engineering roles in Austria

In the current engineering job market in Austria, the distribution of employment types reflects a robust preference for full-time roles, comprising 95% of the job opportunities. Part-time positions account for 4% of the market, while contract roles represent 3%. This employment type distribution highlights the strong demand for stable, long-term engagements in the technology sector, particularly for Data Data Science Engineers and related roles in cities like Linz.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

The time to hire for Data Data Science Engineer roles in Austria shows a diverse distribution, highlighting significant considerations for hiring managers in Linz's tech sector. The majority of candidates, approximately 290 positions, are filled within a timeframe of 30 days, underscoring a competitive landscape for tech talent. Notably, the volume sharply declines beyond 30 days, with only 12 roles confirmed at the 90-day mark, suggesting a critical need for streamlined recruitment strategies. Moreover, hiring trends indicate that a notable 167 positions take about 25 days to fill, reflecting the urgency for CTOs and engineering managers to adopt agile hiring processes. For those focusing on the Data Data Science job market in Austria Linz, understanding these patterns is essential for tailoring recruitment methodologies and anticipating future demand.

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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 dominant city, accounting for 87% of the total opportunities with 2,313 positions available. Following this, Linz contributes 14% with 347 openings, while Graz follows closely behind with 13%, representing 335 relevant jobs. This significant concentration in Vienna emphasizes the need for hiring managers in Linz to implement targeted recruitment strategies to attract talent amidst the competitive landscape showcased in the accompanying chart.

Most sought after technologies in Linz for Data Science

Key technologies for Data Science Engineers

In the competitive landscape of the Data Data Science job market in Austria, particularly in Linz, certain technologies stand out due to their prevalence and demand. Python leads the pack with 5,169 mentions, followed by Machine Learning at 2,883, highlighting the emphasis on advanced analytics and predictive modeling. SQL also remains crucial with 1,822 instances, facilitating efficient data management and retrieval. Additionally, AI, with 1,763 occurrences, underscores the growing integration of intelligent systems. The chart accompanying this paragraph illustrates these frequent technologies, providing a clear picture of the tools that are essential for aspiring Data Science Engineers in Austria's thriving tech sector.

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