Data Science Developer Hiring Trends in 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 Data Science Engineering job market in Austria has seen significant fluctuations, with a peak of 38 new job postings in week 31, reflecting robust hiring activity.
The concentration of Data Data Science Engineer roles is heavily skewed towards Vienna, which accounts for 87% of positions, making it the primary location for recruitment efforts.
A total of 290 candidates were hired within 30 days, suggesting a competitive hiring environment, with a median time to hire set at 33 days for these positions.
Full-time roles dominate the market, comprising 95% of job openings, highlighting the industry's preference for committed professionals in Data Science.
Key technologies in demand include Python and SQL, with the rapid growth in Machine Learning indicating the evolving skillset required for successful Data Data Science Engineers.

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

The Data Data Science Engineering job market in Austria has experienced significant fluctuations over the past 12 weeks. Notably, the peak occurred in week 31, with 38 new jobs posted, while a contrasting 31 jobs were closed in week 24, indicating an intense hiring phase followed by considerable turnover. Compared to other technology roles in Austria, Data Data Science Developer positions are seeing a dynamic landscape, with weeks witnessing high demand that often outpaces job closures. This trend is reflective of a broader pattern observed across Europe, where the recruitment for Data Data Science Engineers remains robust.

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 Data Science job market in Austria presents a unique landscape for hiring managers in the tech industry. With a relatively high number of job openings juxtaposed against the available talent pool, Austria's current 'jobs to talent pool' ratio suggests moderate competition in securing qualified Data Data Science Engineers. For instance, while countries like Germany and the Netherlands exhibit a more favorable ratio for hiring, suggesting easier recruitment landscapes, Austria's numbers reflect a tighter market. This scenario necessitates targeted recruitment strategies for CTOs and hiring managers in Austria's tech sector to effectively attract and retain top talent. As the demand for Data Data Science Developers remains robust, understanding these hiring trends is crucial for navigating the Austrian job market successfully.

Seniority distribution of Data Science Engineer job openings in Austria

Seniority Distribution of Data Science Engineering Jobs in Austria

In the Austrian job market for Data Data Science Engineering, the seniority distribution reveals that 43% of positions are at the Entry level, while 36% are classified as Mid-Senior level. Furthermore, Associate roles account for 12% of the available opportunities. This data highlights the importance for hiring managers to tailor their recruitment strategies to attract emerging talent while also addressing the growing demand for experienced professionals in the sector.

Preferred employment type for Engineering roles in Austria

In Austria's data science job market, the employment type distribution reveals a strong preference for full-time roles, accounting for 95% of positions. Part-time employment represents 4% of the market, while contract roles make up approximately 4% as well. This distribution indicates a robust demand for committed professionals in the field of data science, essential for strategy development and recruitment in Austria's tech sector.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

The time to hire for Data Science Engineers in Austria showcases a notable distribution, with a significant concentration in the higher ranges. A majority of candidates, amounting to 290 hires, took approximately 30 days to secure a position, indicating a strong market demand for Data Science talent. Additionally, 167 candidates were hired within a 25-day timeframe, further exemplifying urgency in recruitment for Data roles. Hiring managers should note that while quicker hiring strategies can yield quicker placements, potential delays are evident as indicated by the 44 candidates hired over 45 days and 48 over 50 days. Given these patterns, tech leads and CTOs should refine their recruitment strategies to align with these timeframes, ensuring competitive positioning in Austria's evolving Data Science job market.

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Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

The distribution of Data Data Science Engineer job openings in Austria reveals a significant concentration in the capital, Vienna, which accounts for 87% of the total positions available. Following Vienna, Linz and Graz represent 4% and 4% of the job market respectively, highlighting a marked disparity in opportunities across the country. This data underscores the importance for hiring managers in tech roles to focus recruitment efforts in Vienna, as illustrated in the accompanying chart.

Most sought after technologies in Austria for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Austria is significantly influenced by a range of technologies crucial for developing and deploying data-driven solutions. A notable highlight is Python, leading with a frequency of 5,169, emphasizing its importance in data manipulation and analysis. SQL follows closely with 1,822, indicating a strong reliance on database management skills. Machine Learning, at 2,883 occurrences, underscores the increasing demand for expertise in predictive analytics. Additionally, the technology landscape showcases a growing need for AI skills, recorded at 1,763, reflecting the sector's shift towards intelligent systems. This data, illustrated in the accompanying chart, provides vital insights for hiring managers seeking to align their recruitment strategies with current market trends.

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