Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role you will design and operate governed data foundations powering cyber risk, compliance evidence, and AI-enabled security workflows. You’ll build production-grade data pipelines and models to support risk reporting and controls monitoring while ensuring governance, lineage, privacy-by-design, and auditable evidence. You work with cross-functional teams to translate requirements into guardrails and scalable solutions for regulated environments. This is an opportunity to shape data-driven cyber risk management at scale. Compensation / Benefits * Build scalable batch and stream data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed 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 to support auditability and regulatory defensibility * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance workflows, and enterprise systems using APIs, event patterns, and connectors with production observability and runbooks * Partner with Cyber, Risk, Compliance, Privacy, and Legal stakeholders 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 and data models for batch and/or stream processing; familiarity with cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege access, encryption, retention, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) and building LLM-enabled applications using retrieval-augmented generation and related techniques * Ability to travel 0-25% and some sponsorship may be available Key requirements *

to capabilities for governance, risk, and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance workflows, and enterprise systems using APIs, event patterns, and connectors with production observability and runbooks * Partner with Cyber, Risk, Compliance, Privacy, and Legal stakeholders 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 and data models for batch and/or stream processing; familiarity with cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege access, encryption, retention, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) and building LLM-enabled applications using retrieval-augmented generation and related techniques * Ability to travel 0-25% and some sponsorship may be available Key requirements *