Cyber AI Data Engineer Senior Consultant

Experteer Overview As a Data Engineer on Deloitte’s Cyber team, you will build governed data foundations for cyber risk, compliance evidence, and AI-enabled workflows. You design scalable pipelines and data models to support risk reporting and audit-ready evidence, with strong governance and privacy-by-design. You will collaborate with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into guardrails. This role offers hands-on data engineering at scale, blending software development with GRC expectations to impact regulated enterprises. 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 domains including RI indicators, issues, risk acceptance, audit evidence, and policy exceptions; enable self-service analytics * Implement data quality checks, lineage, metadata, and access controls to support auditability and regulatory defensibility * Develop AI-enabled capabilities for governance, risk, compliance and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance, risk, and compliance workflows and enterprise 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 and/or stream processing; cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including data classification, PII handling, least-privilege access, encryption, secrets management, retention, audit logging, and lineage/metadata management * Experience supporting GRC workflows including risk reporting, audit data requests, controls monitoring/testing, compliance metrics, and tool integrations; knowledge of LLM-enabled applications with retrieval-augmented generation and secure access patterns * Ability to travel 0-25% and potential for limited immigration sponsorship Key requirements *

auditability and regulatory defensibility * Develop AI-enabled capabilities for governance, risk, compliance and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance, risk, and compliance workflows and enterprise 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 and/or stream processing; cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including data classification, PII handling, least-privilege access, encryption, secrets management, aaaaaa IaC, audit logging, and lineage/metadata management * Experience supporting GRC workflows including risk reporting, audit data requests, controls monitoring/testing, compliance metrics, and tool integrations; knowledge of LLM-enabled applications with retrieval-augmented generation and secure access patterns * Ability to travel 0-25% and potential for limited immigration sponsorship Key requirements *