Remote Azure Data Engineer for Cybersecurity & SIEM

Jobgether; Österreich; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Benefits dieser Stelle

Remote work from anywhere

Zusammenfassung

Jobgether is seeking an Azure Data Engineer based in Austria to strengthen cybersecurity operations by engineering reliable, scalable security data pipelines across cloud and on-premises environments. You will work with high volumes of security telemetry to ensure data is available for threat detection, incident response, compliance, and cyber risk visibility.

The role combines hands-on data engineering with cybersecurity, cloud technologies, automation, and data quality management,

Qualifikationen

• 3+ years of experience in cybersecurity, data engineering, log management, security operations, or a related technology discipline.
• Experience onboarding, managing, and validating log sources within SIEM, cloud data platforms, or security analytics environments.
• Strong understanding of data parsing, normalization, transformation, and validation, including regex, JSON, XML, CSV, and both structured and unstructured data.

Aufgaben

• Design, build, and maintain scalable security data ingestion pipelines for SIEM and cloud data platforms, including Azure Data Explorer and Log Analytics.
• Parse, normalize, transform, enrich, and validate structured and unstructured security telemetry using regex, JSON parsing, schema mapping, and other data-processing techniques.
• Partner with application owners, infrastructure and cloud teams, vendors, security stakeholders, and other internal groups to onboard new log sources and validate end-to-end data flows.
• Ensure the integrity, completeness, timeliness, and quality of security telemetry used for monitoring, detection, incident response, reporting, and risk management.
• Align security data with established schemas, naming conventions, governance standards, and organizational requirements to support downstream analytics and automation.
• Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues across diverse platforms and environments.
• Maintain clear documentation covering log onboarding procedures, source requirements, data mappings, pipeline configurations, and operational support processes.
• Collaborate with detection engineering and security operations teams to ensure telemetry supports investigation, threat detection, response, and cyber risk use cases.
• Conduct telemetry gap analyses, identify missing or incomplete data sources, and recommend priorities for improving security coverage.
• Support logging practices that meet regulatory, audit, compliance, retention, and data‑integrity requirements.
• Improve ingestion frameworks, automation, and onboarding processes to increase scalability, repeatability, reliability, and cost efficiency.
• Support infrastructure‑as‑code, scripting, and automation initiatives that streamline deployment and ongoing pipeline maintenance.
• Monitor pipeline performance and work with stakeholders to optimize ingestion reliability, throughput, and operational costs.
• Stay current with emerging cybersecurity telemetry formats, logging standards, data engineering practices, and cloud security data‑platform capabilities.

Kenntnisse

Cybersecurity

Data engineering

Log management

Security operations

Azure

Python

PowerShell

Regex

JSON/XML/CSV parsing

Data pipelines

Tools

Azure Data Explorer

Log Analytics

SIEM

Cloud data platforms

Jobbeschreibung

Jobgether is seeking an Azure Data Engineer based in Austria to strengthen cybersecurity operations by engineering reliable, scalable security data pipelines across cloud and on-premises environments. You will work with high volumes of security telemetry to ensure data is available for threat detection, incident response, compliance, and cyber risk visibility.

The role combines hands-on data engineering with cybersecurity, cloud technologies, automation, and data quality management,