Azure Data Engineer

📋 Description

• Design, build, and maintain scalable security data ingestion pipelines for SIEM and cloud platforms
• Parse, normalize, transform, enrich, and validate structured/unstructured security telemetry.
• Collaborate with owners, infrastructure, cloud teams, vendors, and security stakeholders to onboard
• Ensure data integrity, completeness, timeliness, and quality of security telemetry.
• Align data with schemas, governance standards, and requirements for analytics.
• Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues.

🎯 Requirements

• 3+ years in cybersecurity, data engineering, log management, or related field.
• Hands-on onboarding and validation of log sources in SIEM or cloud analytics.
• Strong parsing/transformation skills: regex, JSON, XML, CSV; structured/unstructured data.
• Experience with cloud platforms and Azure logging/analytics services.
• Strong troubleshooting, analytics, and data-quality focus.
• Familiarity with compliance, retention, auditability, and data integrity requirements.

🎁 Benefits

• Remote work from anywhere.
• Experience in cybersecurity data engineering within regulated financial services.
• Exposure to large-scale security telemetry, SIEM, Azure data services, cloud environments.
• Hands-on opportunities to develop scalable pipelines, automation, and IaC.
• Cross-functional collaboration with cybersecurity, cloud, governance, and vendor teams.
• Opportunity to contribute to threat detection, incident response, and cyber risk visibility.