Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role you will design and operate production-grade data foundations that power cyber risk, compliance evidence, and AI-enabled security workflows. You’ll build scalable data pipelines and governance-enabled data stores to support risk reporting, controls monitoring, and auditable evidence generation. You partner with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into guardrails, enabling secure, compliant operations at enterprise scale. This is a hands-on engineering role that blends data engineering with GRC expectations in regulated environments. Compensation / Benefits * Build scalable batch and stream data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data stores * Design data models for risk, controls, and audit artifacts to enable self-service analytics and dashboards * Implement data quality, lineage, metadata, and access controls to support auditability and defensible evidence * Develop AI-enabled capabilities to accelerate governance, risk, compliance and cyber operations (evidence summarization, Q&A, copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into implementable controls and guardrails 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/stream processing on cloud platforms * Experience implementing data governance controls including data classification, encryption, audit logging, lineage/metadata management Key requirements *

and * Develop AI-enabled capabilities to accelerate governance, risk, compliance and cyber operations (evidence summarization, Q&A, copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into implementable controls and guardrails 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/stream processing on cloud platforms * Experience implementing data governance controls including data classification, encryption, audit logging, lineage/metadata management Key requirements *