Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role you design and operate governed data foundations for cyber risk, compliance evidence, and AI-enabled security workflows. You’ll build scalable data pipelines and models to support risk reporting, controls monitoring, and audit-ready evidence, with strong governance, lineage, and privacy-by-design. You’ll bridge data engineering with GRC expectations in regulated enterprise settings. This is a chance to shape data platforms and AI-assisted security operations for resilient, compliant cyber programs. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed stores * Design data models for risk, controls, and audit evidence enabling self-service analytics and dashboards * Implement data quality, lineage, metadata, and access controls for auditability and defensible evidence * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigations copilots) * Engineer integrations between data platforms, governance/workflows, and enterprise systems with observability and runbooks * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor in any field or equivalent practical experience * 4+ years data engineering and software development with Python and SQL * Experience building production data pipelines and data models (batch/stream) and deploying on the cloud with containers, IaC, APIs, and secret management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) including LLM-enabled applications using retrieval-augmented generation and secure access patterns * Ability to travel 0-25% and potential immigration sponsorship * Experience with consulting/Big 4 environment (preferred) Key requirements *

audit summarization, control testing assist, policy Q&A, investigations copilots) * Engineer integrations between data platforms, governance/workflows, and enterprise systems with observability and runbooks * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor in any field or equivalent practical experience * 4+ years data engineering and software development with Python and SQL * Experience building production data pipelines and data models (batch/stream) and deploying on the cloud with containers, IaC, APIs, and secret management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) including LLM-enabled applications using retrieval-augmented generation and secure access patterns * Ability to travel 0-25% and potential immigration sponsorship * Experience with consulting/Big 4 environment (preferred) Key requirements *