Cyber AI Data Engineer Senior Consultant
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Job description
Experteer Overview You will build governed data foundations powering cyber risk, compliance evidence, and AI-enabled cyber workflows. You’ll design production-grade pipelines and data models to support risk reporting, controls monitoring, and audit-ready evidence in regulated environments. The role sits inside the Cyber team, partnering with risk, privacy, and legal stakeholders to translate requirements into guardrails and scalable solutions. You’ll work at the intersection of data engineering, governance, and AI-enabled security operations to enable resilient, compliant operations. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data stores * Design data models for risk and controls domains including KRI, issues/defects, risk acceptance, audit evidence, and policy exceptions * Implement data quality checks, lineage, metadata, and access controls for auditability and defensible evidence * Develop AI-enabled capabilities for governance, risk, compliance, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into guardrails and controls Tasks * Bachelor’s degree or equivalent practical experience * 4+ years in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch or streaming processing on cloud platforms with IaC and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and LLM-enabled applications with retrieval-augmented generation and secure access patterns * Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *
Requirements
KRI, evidence * Develop AI-enabled capabilities for governance, risk, compliance, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into guardrails and controls Tasks * Bachelor’s degree or equivalent practical experience * 4+ years in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch or streaming processing on cloud platforms with IaC and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, a J_ LLM-enabled applications with retrieval-augmented generation and secure access patterns * Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *
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