Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role you build and operate governed data foundations powering cyber risk and AI-enabled security workflows. You design scalable data pipelines and models to support risk reporting, controls monitoring, and audit-ready evidence. You collaborate with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into guardrails. You will contribute to AI-enabled governance and risk initiatives in regulated environments, driving measurable impact. 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 and controls (KRI, issues, defects, audit evidence, policy exceptions) enabling self-service analytics and dashboards * Implement data quality, lineage, metadata, and access controls to support auditability and regulatory defensibility * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage) * Engineer integrations between data platforms and enterprise GRC workflows with observability and runbooks for production support * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor’s degree or equivalent practical experience * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines for batch and/or stream processing and deploying solutions on cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and LLM-enabled applications (RAG, vector/hybrid retrieval) * Ability to travel 0-25% and willingness for potential immigration sponsorship Key requirements *

(evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage) * Engineer integrations between data platforms and enterprise GRC workflows with observability and runbooks for production support * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor’s degree or equivalent practical experience * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines for batch and/or stream processing and deploying solutions on cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and LLM-enabled applications a data vector/hybrid retrieval) * Ability to travel 0-25% and willingness for potential immigration sponsorship Key requirements *