Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role you will build production-grade data pipelines and governance-ready data foundations powering cyber risk, compliance evidence, and AI-enabled security workflows. You’ll bridge data engineering with GRC expectations in regulated environments, delivering scalable data models and audit-ready solutions. You collaborate with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into guardrails and implementable controls. This position offers the chance to shape data-driven risk management and advanced AI-assisted security operations at Deloitte. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data stores * Design data models for risk and controls domains and enable self-service analytics and dashboards * Implement data quality, lineage, metadata, and access controls to support auditability and audit-ready evidence * Develop AI-enabled capabilities for governance, risk, and compliance and cyber operations using agentic patterns * Engineer integrations between data platforms and enterprise systems with observability and runbooks * Partner with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into guardrails and controls 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 data models for batch/stream processing and deploying on cloud platforms with containers and IaC * Experience implementing data governance controls including classification, encryption, access, retention, audit logging, and lineage/metadata management * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and tool integrations with LLM-enabled apps such as retrieval-augmented generation * Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *

cyber AI-enabled capabilities for governance, risk, and compliance and cyber operations using agentic patterns * Engineer integrations between data platforms and enterprise systems with observability and runbooks * Partner with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into guardrails and controls 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 data models for batch/stream processing and deploying on cloud platforms with containers and IaC * Experience implementing data governance controls including classification, encryption, access, retention, audit logging, and lineage/metadata management * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and tool integrations with LLM-enabled apps such as retrieval-augmented generation

• Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *