Cyber AI Data Engineer Senior Consultant

Experteer Overview As a hands-on Data Engineer in Deloitte’s Cyber team, you will build governed data foundations powering cyber risk, compliance evidence, and AI-enabled workflows. You’ll design production-grade pipelines and data models for risk and controls, ensuring governance, lineage, privacy-by-design, and auditability. You’ll bridge data engineering with GRC expectations in regulated environments, delivering scalable solutions that support risk reporting and AI-assisted security operations. This role offers impact across cyber, risk, and compliance programs in a leading advisory firm. 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 indicators, issues/defects, controls testing outcomes, audit evidence, and policy exceptions to enable self-service analytics * Implement data quality checks, lineage, metadata, and access controls to support auditability and defensible evidence * Develop AI-enabled capabilities for governance, risk, and cyber ops (evidence summarization, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms and GRC workflows using APIs, event patterns, and connectors with production observability and runbooks * Collaborate 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 in 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, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations) * Experience with retrieval-augmented generation and LLM-enabled applications and secure access patterns * Ability to travel 0-25% and potential immigration sponsorship Key requirements *

to support auditability and defensible evidence * Develop AI-enabled capabilities for governance, risk, and cyber ops (evidence summarization, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms and GRC workflows using APIs, event patterns, and connectors with production observability and runbooks * Collaborate 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 in 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, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, aa controls metrics, tool integrations) * Experience with retrieval-augmented generation and LLM-enabled applications and secure access patterns * Ability to travel 0-25% and potential immigration sponsorship Key requirements *