The analysis shows which technologies, work models, benefits and advertised gross salaries appear often in job ads for Data Engineer in Vienna.
The previous period is too small for a reliable market comparison.
Advertised gross annual salary ranges from matching IT job ads.
Salary figures refer to gross salary ranges advertised in job ads, not measured employee compensation.
Median advertised gross annual salary for the industries with the highest job ad presence.
Frequently listed technologies include Python, SQL, Azure, AWS and Power BI. Working models are primarily onsite (54.8%) and hybrid (43.7%). Listings originate mainly from Internet/IT, consulting and banking/finance/insurance. The market data are based on active and expired job ads in the 12‑month evaluation.
Include advertised gross salary ranges or minimums; this evaluation shows a the median (sample n=298), p75 66,000 EUR and p90 78,000. EUR
Prioritize core technologies: list Python and SQL prominently and include Azure, AWS, Snowflake or Power BI where relevant.
Specify the working model: onsite (54.8%) and hybrid (43.7%) are most common in the ads.
Use a clear job title (Data Engineer) and list core responsibilities concisely (ETL, data pipelines, platform engineering).
Include an advertised gross salary range or minimum; reference the ad evaluation.
Present the essential tech stack as bullets: Python, SQL, Azure/AWS, Snowflake, Docker, Git, Power BI.
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