Cyber Data Engineer

A Leading Professional Services Firm is seeking an analytical Cyber Data Engineer to join its information security practice. In this strategic technical role, you will define and implement data ingestion, provisioning, and integration workflows explicitly for enterprise cybersecurity use cases. Furthermore, you will design and optimize scalable, automated ETL pipelines across complex distributed systems and cloud networks. Consequently, this position is crucial for deploying real-time data analytics and protecting corporate digital infrastructure assets.

The Cyber Data Engineer must combine expert data engineering capabilities with a solid foundation in Site Reliability Engineering and Azure DevOps patterns. Operating under UK shift lines, you will handle diverse security telemetry arrays, infrastructure-as-code scripts, and large-scale relational schemas. Therefore, the firm is looking for an automation-driven engineer who translates security logs into structured data environments seamlessly. If you want to build next-generation cyber detection engines, this position offers an exceptional platform.

Key Responsibilities

• Design, implement, and optimize enterprise data ingestion pipelines explicitly tailored for cybersecurity use cases.
• Develop and manage advanced ETL workflows, data manipulation scripts, and provisioning layers across disparate systems.
• Automate and productionize cloud-based data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
• Configure and monitor cloud computing platforms, Identity Management blocks, Active Directory, and Azure Log Analytics.
• Construct scalable infrastructure components using Infrastructure-as-Code frameworks including Terraform and Ansible.
• Formulate optimized database queries and big-data transformation strings utilizing advanced SQL and Kusto query language.
• Write clean automation and administration scripts using Python, Java, C#, Bash, and advanced PowerShell parameters.
• Deploy real-time streaming data architectures and stream processing models using Azure Event Hubs, Kafka, or Spark Streaming.
• Collaborate with cross-functional information security teams to onboard, process, and analyze vulnerability, asset, and system logs.
• Maintain precise configuration records and establish automated continuous integration systems utilizing GitHub.

Requirements and Qualifications

• Bachelor’s or Master’s degree qualification in Computer Science, Cyber Security, Data Science, or highly quantitative domains.
• 5+ Years of experience operating within an enterprise Data Engineering, Cloud Infrastructure, or DevSecOps environment.
• Expert practical command over Azure cloud services, ETL automation pipelines, and infrastructure-as-code tracking tools.
• Hands-on technical mastery using Python scripting, advanced relational SQL query lines, and Kusto analysis methods.
• Functional awareness of SIEM/SOAR technologies, network protocols, hardware principles, and security log file formats.