The analysis shows which technologies, work models, benefits and advertised gross salaries appear often in job ads for Data Engineer in Berlin.
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 market data are based on active and expired job ads published on the platform during the 12-month period. Common tech stacks include Python, SQL, AWS and Airflow. Working models in the analysis: Onsite 56.9 %, Hybrid 39.2 %, Full remote 3.9 %.
Prioritise core skills in requirements: list Python and SQL first, then AWS, Airflow or Apache Spark as relevant.
State advertised gross salary ranges explicitly; current analysis the median
Specify working model clearly: Onsite (56.9 %) or Hybrid (39.2 %) are most represented in the analysis.
Include core technologies in title and bullets (e.g. Python, SQL, Airflow, Spark) to match search intent.
Publish the advertised gross salary range to increase clarity for the role.
State the working model explicitly and any on-site expectations (analysis: Onsite 56.9 %, Hybrid 39.2 %, Full remote 3.9 %).
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