Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role you will build and operate governed data foundations for cyber risk and AI-enabled security workflows. You’ll design scalable data pipelines, data models, and governance controls to support risk reporting, controls monitoring, and audit-ready evidence. You’ll bridge data engineering with GRC requirements in regulated environments and contribute to AI-enabled capabilities and enterprise integrations. This is a hands-on, impact-driven position within Deloitte’s cyber engineering team. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry, control evidence, and compliance artifacts. * Design risk and controls data models (KRI, issues/defects, control testing outcomes, audit evidence) and enable self-service analytics. * Implement data quality checks, lineage, metadata, and access controls for auditability and defensibility. * Develop AI-enabled capabilities for governance, risk, and compliance and cyber operations (evidence summarization, QA, copilots, ticket triage, exception reasoning). * Engineer integrations between data platforms, governance/workflow systems, and enterprise systems with observability and runbooks. * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into guardrails and implemented controls. 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 models for batch/stream processing on cloud platforms * Experience implementing data governance controls (classification, least-privilege access, encryption, audit logging, lineage) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, LLM-enabled apps) * Ability to travel 0-25% and willingness to work in client environments * Limited immigration sponsorship may be available Key requirements *

aaaaat_ (evidence summarization, QA, copilots, ticket triage, exception reasoning). * Engineer integrations between data platforms, governance/workflow systems, and enterprise systems with observability and runbooks. * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into guardrails and implemented controls. 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 models for batch/stream processing on cloud platforms * Experience implementing data governance controls (classification, least-privilege access, encryption, audit logging, lineage) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, LLM-enabled apps) * Ability to travel 0-25% and willingness to work in client environments * Limited immigration sponsorship may be available Key