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 production-grade pipelines and data models to support risk reporting, controls monitoring, and secure evidence generation with strong governance and auditability. You will bridge data engineering with GRC expectations in regulated environments and contribute to AI-assisted security operations. This role offers impact through scalable data platforms and governance-driven automation. 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 KPIs, issues, risk acceptance, audit evidence, and policy exceptions; 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, compliance, and cyber operations (e.g., evidence summarization, control testing assist, retrieval-augmented generation) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * 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 in data engineering and software development using Python and SQL * Experience building production data pipelines for batch and/or streaming and deployment on 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 governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, and tool integrations; familiarity with LLM-enabled applications such as retrieval-augmented generation) * Ability to travel 0-25% and exposure to immigration sponsorship (limited) * Preferred: consulting/Big 4 experience; Java/Go/JavaScript; integrations with ServiceNow GRC, Archer, OneTrust, BigID; experience with security operations data pipelines; operationalizing LLM/MLOps; security certs Key requirements *

Engineer * Develop AI-enabled capabilities for governance, risk, compliance, and cyber operations (e.g., evidence summarization, control testing assist, retrieval-augmented generation) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * 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 in data engineering and software development using Python and SQL * Experience building production data pipelines for batch and/or streaming and deployment on 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 governance, risk, and compliance workflows (risk reporting, audit data requests, aaaaaaC _ monitoring/testing, and tool integrations; familiarity with LLM-enabled applications such as retrieval-augmented generation) * Ability to travel 0-25% and exposure to immigration sponsorship (limited) * Preferred: consulting/Big 4 experience; Java/Go/JavaScript; integrations with ServiceNow GRC, Archer, OneTrust, BigID; experience with security operations data pipelines; operationalizing LLM/MLOps; security certs Key requirements *