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€1,200 annual training budget per employee.
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We are looking for a SIEM Data Engineer to join an international project for a leading German client in the automotive sector.
The role is focused on security log analysis, log ingestion, parsing, normalization and SIEM data modelling, working closely with security and operations teams.
We are especially looking for someone with experience in Cribl and Splunk, although similar experience with log pipeline, log management or SIEM environments will also be valued.
Analyse security logs and define data models.
Create and maintain parsers to normalize log data.
Support SIEM data ingestion and security use case definition.
3+ years of experience with SIEM tools, especially Splunk or Elastic.
~ Strong knowledge of log analysis, parsing, Regex and data normalization.
~ Experience with Linux/UNIX/Windows environments and network technologies.
~ Scripting experience with Python, Bash/Shell or JavaScript.
~ Knowledge of cloud or container technologies such as AWS, Azure, GCP, Kubernetes or OpenStack.
~ Understanding of Security Incident Response or security monitoring processes.
~ Excellent English level, both written and spoken.
Location: 100% Remote
Flexible, with reduced hours on Fridays
Language: English (C1), Spanish (B2)
The employee will adhere to information security policies:
-Will have access to confidential information related to Capitole and the project they are working on.
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