Cyber AI Data Engineer Senior Consultant

Experteer Overview As a Data Engineer in Deloitte’s Cyber team, you design and operate governed data foundations powering cyber risk, compliance evidence, and AI-enabled workflows. You build scalable data pipelines and models to support risk reporting, controls monitoring, and audit-ready evidence with strong governance and lineage. You combine data engineering with GRC requirements in regulated environments to drive secure, compliant operations. You will work with cross-functional stakeholders to translate requirements into robust, developer-ready guardrails and integrations. This role offers impact at scale through data-driven cyber defense and AI-enabled governance. Compensation / Benefits * Build scalable batch and streaming pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data 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 checks, lineage, metadata, and access controls to support auditability and repeatable evidence generation * Develop AI-enabled capabilities to accelerate governance, risk, compliance, and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage) * Engineer integrations between data platforms, governance workflows, and enterprise systems using APIs, event patterns, and connectors with 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 for batch/stream processing and cloud deployments * Experience implementing data governance controls (classification, PII handling, encryption, retention, audits, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, governance tool integrations, LLM-enabled apps) * Ability to travel 0-25% and willingness for sponsorship considerations in some cases Key requirements *

policy * Implement data quality checks, lineage, metadata, and access controls to support auditability and repeatable evidence generation * Develop AI-enabled capabilities to accelerate governance, risk, compliance, and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage) * Engineer integrations between data platforms, governance workflows, and enterprise systems using APIs, event patterns, and connectors with 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 for batch/stream processing and cloud deployments * Experience implementing data governance controls (classification, PII handling, encryption, retention, audits, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, governance tool integrations, LLM-enabled apps) * Ability to travel 0-25% and willingness for sponsorship considerations in some cases Key requirements *