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Data Engineer Developer Hiring Trends in Austria

This report was last updated on Sep 6, 2025

Bence Gedai / Founder

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 currently has approximately 200 open positions and a talent pool of around 1,000 qualified candidates, resulting in a manageable hiring ratio of 5:1, indicating a moderate level of competition.
  • In the past 12 weeks, job postings peaked notably with 19 new positions, while job closures reached a high of 11 in week 34, suggesting some challenges in retaining talent within the sector and highlighting the need for effective recruitment strategies.
  • The predominant employment type for Data Engineer roles is full-time, accounting for 95% of available positions, signaling a strong demand for professionals seeking stable employment in this field.
  • Vienna is the leading city for Data Engineer job opportunities, representing 87% of the total market, followed by Linz and Graz, which present significantly fewer openings, emphasizing the capital's role as a key recruitment hub.
  • The average time to hire Data Engineers in Austria stands at 35 days, with a majority of positions filled within 30 days, underscoring the importance of a swift recruitment process to attract and secure talent in a competitive environment.
Number of roles opened and closed for Data Engineer Engineers in Austria in the last 3 months

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 shown variable trends over the last 12 weeks. Job postings peaked notably in week 31 with 19 new positions, reflecting a robust demand for Data Data Engineer professionals. However, the closing of jobs has also been significant, with a peak of 11 positions in week 34, indicating possible challenges in retaining talent within this sector. Compared to other roles in Austria, the hiring trends for Data Data Engineers may indicate a more competitive landscape, especially when assessed against similar trends in other European countries where demand for skilled engineers remains consistently high.

Who else is hiring for data Engineers in Austria:

Company name Country Industry Founded # Job openings
Canonical logo Canonical United Kingdom Information Technology & Services 2004 24
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 22
Frequentis logo Frequentis Austria Information Technology & Services 1947 13
TELUS Digital logo TELUS Digital Canada Information Technology & Services 2005 11
Red Bull logo Red Bull Austria Food & Beverages 1987 9
Porsche Holding logo Porsche Holding Austria Wholesale 1947 7
COSMO CONSULT logo COSMO CONSULT Germany Information Technology & Services 1996 7
FH Technikum Wien logo FH Technikum Wien null null null 7
eurofunk Kappacher GmbH logo eurofunk Kappacher GmbH Austria Information Technology & Services 1969 6
Raiffeisen Software GmbH logo 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 European job market for Data Engineers reveals significant disparities across various countries. In Austria, there are approximately 200 job openings, accompanied by a talent pool of around 1,000 qualified candidates, resulting in a ratio of 5:1, indicating moderate hiring ease. In contrast, Germany boasts 400 job openings with a talent pool of 2,500, yielding a more favorable ratio of 6.25:1. Meanwhile, the Netherlands, with 300 job postings and 1,500 available candidates, presents a ratio of 5:1 as well. This data suggests that while hiring Data Engineers in Austria is feasible, competition may be stiffer than in Germany, making strategic recruitment initiatives crucial for CTOs and hiring managers aiming to secure top talent in Austria's tech sector.

Seniority distribution of Data Engineer Engineer job openings in Austria

Seniority Distribution of Data Engineer Engineering Jobs in Austria

The seniority distribution for Data Data Engineer Engineering roles in Austria reveals a significant concentration in the entry-level and mid-senior level categories, with 52% of positions classified as Entry level and 50% as Mid-Senior level. This suggests a competitive landscape for hiring managers seeking to attract talent, as both entry-level and mid-senior candidates comprise the majority of available roles. Furthermore, Associate level positions account for approximately 18%, indicating a tiered experience spectrum that recruitment strategies for CTOs should consider.

Chart about preferred employment type for Engineering roles in Austria

Preferred employment type for Engineering roles in Austria

In Austria's engineering job market, the predominant employment type is Full-time, accounting for 95% of the positions available. Part-time roles represent 4% of the market, while Contract positions make up 4% as well. This data highlights the strong preference for full-time roles among employers, signifying an encouraging trend for professionals seeking Data Data Engineer opportunities in Austria.

Time to Hire Distribution for Data in Austria

How long does it take to hire Data Engineers

In the Austrian job market for Data Engineers, the distribution of time to hire reveals key insights for hiring managers. The most prominent hiring timeframe falls within the 30-day range, accounting for 290 instances, followed by 25 days with 167 counts. Notably, there is a sharp decline in applicants for roles requiring longer hiring times, with only 44 candidates for 45 days and 6 for 100 days. Given these trends, it is critical for CTOs and Engineering Managers to refine recruitment strategies, emphasizing agility in the hiring process to secure top talent in a competitive market.

Most popular cities in Austria to hire Data Engineers

Top 5 cities in Austria to hire Data Engineers

In Austria, the distribution of Data Engineer job openings reveals a significant concentration in the capital city of Vienna, which accounts for 87% of the total job opportunities. Following Vienna, Linz and Graz show a much smaller share, representing 11% and 10% respectively. This data underscores the capital's prominence as a central hub for Data Data Engineer recruitment, highlighting the need for targeted recruitment strategies for CTOs and hiring managers in Austria's tech sector.

Most sought after technologies in Austria for Data Engineer

Key technologies for Data Engineer Engineers

The Data Engineer job market in Austria is characterized by a robust demand for a variety of technologies, as illustrated in the accompanying chart. The most frequently utilized technology is SQL, with a usage frequency of 1979, emphasizing its significance in data querying and management. Python follows closely with a frequency of 1969, highlighting the language's versatility in data manipulation and analysis. Other notable technologies include AWS (491), which is critical for cloud-based data solutions, and ETL (825), essential for data integration processes. Moreover, Power BI (351) and Databricks (248) are gaining traction for data visualization and collaborative analytics, respectively. These insights reflect emerging trends in Data Data Engineer Programmer hiring across Europe and should inform recruitment strategies for CTOs in Austria's tech sector.

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