The analysis shows which technologies, work models, benefits and advertised gross salaries appear often in job ads for Data Engineer.
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 median is 5% lower than the previous period. Common technologies are Python, SQL, cloud tools (Azure, AWS) and Apache Spark. Berlin and Munich are frequently represented; Berlin share in the evaluation: +4.2 percentage points. Established companies are frequently represented. Onsite and hybrid are the most common working models. Visible benefits include flexible working hours and home office.
State advertised gross salary ranges to set clear compensation expectations.
Prioritize core technologies: highlight Python and SQL plus cloud tools (Azure, AWS) and Apache Spark in job copy.
Differentiate role titles between Data Engineer, Data Scientist and Platform Engineer to target the right talent.
Use a job title that includes role and seniority (e.g. Data Engineer – Senior) to clarify expectations.
Include an advertised gross salary range in the job ad.
List technologies explicitly: Python, SQL, Apache Spark, Airflow and cloud platforms (Azure/AWS).
Matching IT jobs
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