The analysis shows which technologies, work models, benefits and advertised gross salaries appear often in job ads for Data Engineer in Hamburg.
Arrows indicate whether each category share increased or decreased from the previous period.
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.
The role Data Engineer accounts for 63.4% share in the analysis (share change +8.1 percentage points versus the prior period). Common technologies listed are Python, SQL, Azure, AWS and Google Cloud Platform. Working models are mainly onsite (60.1%), hybrid (36.4%) and limited full remote (3.5%). Leading industry signals include Internet/IT/Telecom and Banking/Finance/Insurance. Benefits frequently visible in ads include flexible working hours and home office.
Align the role profile with core skills and expected technologies: emphasize Python and SQL, and specify cloud experience (Azure, AWS, GCP).
State the advertised gross salary range clearly: 65,000 EUR–80,000 EUR as reference from the 12-month analysis.
Specify the working model: note that onsite is dominant (60.1%) while hybrid is common and full remote remains limited.
List core responsibilities and the prioritized tech stack: Python, SQL, Azure (add AWS/GCP if relevant).
Prominently display the advertised gross salary range 65,000 EUR–80,000 EUR and the median as guidance.
Specify the working model (Onsite/Hybrid/Full remote) and any flexible home office arrangements.
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