Cyber AI Data Engineer Senior Consultant
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Job description
Experteer Overview In this role, you build scalable data foundations and governance-enabled pipelines to power cyber risk, compliance evidence, and AI-assisted security workflows. You’ll shape risk and controls data models, implement quality, lineage, and access controls, and enable self-service analytics. You’ll also develop AI-enabled capabilities to accelerate governance and cyber operations, while bridging data engineering with GRC requirements in regulated environments. The role offers impact across risk reporting, auditability, and enterprise-wide integrations. 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 and controls (KRI, issues/defects, risk acceptance, audit evidence, policy exceptions) to enable self-service analytics * 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, exception reasoning) using agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms and enterprise GRC/workflow systems with observability and runbooks for production support * Partner 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 data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing on cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, secrets, retention, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations) and building LLM-enabled apps with retrieval-augmented generation * Ability to travel 0-25% * Limited immigration sponsorship may be available * Preferred: experience in consulting/Big 4; experience with Java/Go/JS; experience integrating with ServiceNow GRC, Archer, OneTrust, BigID; pipelines for SIEM/SOAR/IR/Cloud security posture; experience with LLM/MLOps governance; security certifications Key requirements *
Requirements
engineering * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, exception reasoning) using agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms and enterprise GRC/workflow systems with observability and runbooks for production support * Partner 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 data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing on cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, secrets, retention, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations) and building LLM-enabled apps with retrieval-augmented generation * Ability to travel 0-25% * Limited immigration sponsorship may be available * Preferred: experience in consulting/Big 4; experience with Java/Go/JS; experience integrating with ServiceNow GRC, Archer, OneTrust, BigID; pipelines for SIEM/SOAR/IR/Cloud security posture; experience with LLM/MLOps governance; security certifications Key requirements *
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