Data Science Developer Hiring Trends in Salzburg, Austria

This report was last updated on Jun 14, 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 Engineers job market trends in Austria, specifically in Salzburg, indicate a challenging landscape for hiring managers, with significant fluctuations in roles, as evidenced by 9 new positions being posted against 18 closures in the past 12 weeks.
The employment type preference highlights a strong inclination towards full-time roles, which comprise 95% of opportunities, showcasing the need for businesses to align their recruitment strategies with market expectations.
A majority of Data Engineers are concentrated in Vienna, which accounts for 70% of job openings, while Salzburg contributes 4%. This geographic distribution underscores the need for strategic hiring efforts concentrated in key cities.
In the existing climate, hiring Data Data Science Engineers is competitive; the current number of job openings suggests a limited talent pool, necessitating targeted and innovative recruitment strategies for CTOs and hiring managers.
The median time to hire for Data Engineers is currently 34 days, indicating an urgent demand for skilled professionals, with most positions filled within a 30 to 55-day window, and an increasing need for refined hiring processes.

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

In the past 12 weeks, the Data Science Engineering job market in Austria Salzburg has demonstrated significant fluctuations, with job openings peaking at 4 in week 12, while closures peaked at 7 in week 22. Overall, a total of 9 new Data Data Science developer positions were posted, contrasting sharply with 18 roles that were closed during the same period. This trend indicates a challenging landscape for hiring managers, as the net loss of roles may signal impending competition for talent in Austria Salzburg, especially when compared to other regions in Europe.

Who else is hiring for data Engineers in Austria:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	35
Canonical	United Kingdom	Information Technology & Services	2004	31
eurofunk Kappacher GmbH	Austria	Information Technology & Services	1969	17
Frequentis	Austria	Information Technology & Services	1947	12
TELUS Digital	Canada	Information Technology & Services	2005	8
Liebherr Group	Germany	Machinery	1949	8
ABB	Switzerland	Machinery	1988	8
Raiffeisen Software GmbH	Austria	Information Technology & Services	2015	8
Bechtle Managed Services GmbH	null	null	null	8
JOIN	Germany	Information Technology & Services	2018	7

Here are a few specialized data agencies you can trust:

Want to get personalized matches? Get started

Talent pool vs job openings for Data Engineers in Austria

How competitive it is to hire Data Engineers in Austria

In the competitive landscape of the Data Data Science Engineers job market trends in Austria, particularly in Salzburg, hiring managers need to navigate a challenging environment. The number of job openings compared to the available talent pool in Austria suggests that recruitment efforts may face difficulties, as indicated by the country's ratio of jobs to talent availability. Compared to Austria, neighboring countries such as Germany, the Netherlands, and Switzerland showcase larger talent pools with relatively favorable job ratios, implying a more accessible market for hiring Data Data Science Engineers. As such, CTOs and engineering managers in Austria must develop strategic recruitment initiatives to attract the limited talent in the region and remain competitive in the broader European tech sector.

Seniority distribution of Data Science Engineer job openings in Salzburg

Seniority Distribution of Data Science Engineering Jobs in Salzburg

In the Austria Salzburg tech sector, the seniority distribution for Data Data Science Engineering jobs reveals a significant concentration at the Mid-Senior level, accounting for 41% of positions. Entry-level roles represent 30% of the market, while Associate positions comprise 24%. This distribution indicates a robust demand for experienced talents in the Data Data Science domain, shaping future recruitment strategies for CTOs and hiring managers in the region.

Preferred employment type for Engineering roles in Austria

In Austria's engineering job market, the predominant employment type is Full-time, comprising 95% of roles, followed by Part-time positions at 5% and Contract roles at approximately 5%. This distribution highlights the strong preference for full-time employment among Data Science Engineers, as companies seek to invest in long-term talent. Hiring managers should consider these trends when formulating recruitment strategies, ensuring alignment with market expectations.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

The time to hire distribution for Data Data Science Engineers in Austria indicates a diverse hiring landscape. Notably, the majority of positions are filled within 30 to 55 days, with 392 roles taking around 30 days and 108 taking approximately 60 days. This trend highlights a significant demand for Data Data Science Developers, revealing that hiring managers should prepare for a timeline that typically peaks around 30 days. Furthermore, the data suggests growing competition, as longer hiring phases, beyond 40 days, show a declining interest, which may necessitate refined recruitment strategies for CTOs and engineering managers aiming to attract top talent in Austria, particularly in Salzburg.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineer Engineers in Denmark

The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.

View Report

Insights for hiring Data Science Engineers in Sweden

The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.

View Report

Insights for hiring Data Engineers in Warsaw

The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.

View Report

View All Job Reports

Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

In Austria, the location distribution for Data Engineers job openings indicates that Vienna leads the market with 70% of the total opportunities, followed by Graz at 10% and Linz at 10%. Salzburg, while a significant player in the tech landscape, accounts for 4% of the job openings. This data highlights Vienna's dominance in the Data Data Science job market in Austria, making it a focal point for recruitment strategies.

Most sought after technologies in Salzburg for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Austria, particularly in Salzburg, Python emerges as the most prevalent technology, underscored by its frequency of 9,223 mentions. This is closely followed by Machine Learning, which has a frequency of 3,554, highlighting its critical role in data-driven projects. Further, Java stands out with 3,258 mentions, indicating its continued importance in back-end development tasks. SQL, essential for data manipulation, is recorded at 3,244, while JavaScript (2,201) and AI (2,140) also show significant usage, enabling the development of robust data applications. A detailed chart is provided to showcase these technologies and their respective frequencies across the Data Science sector.

Have a great project in mind?

We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.