Senior Cyber AI Data Engineer — Governance & AI Ops

Deloitte France; Jacksonville (FL); On-site; USD 105,000 - 208,000; Full time

Job summary

Deloitte is seeking a hands-on Data Engineer to build governed data foundations powering cyber risk, compliance evidence, and AI-enabled workflows. You will design production-grade pipelines and services supporting risk reporting, controls monitoring, and audit-ready evidence.

The role bridges modern data engineering with Governance, Risk, and Compliance expectations in regulated environments. Recruiting ends 12/31/2026.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4+ years of experience in data engineering and software development using Python and SQL.
• Experience building production data pipelines and data models for batch and/or stream processing.
• Experience implementing data governance controls including data classification and access controls.
• Experience supporting governance, risk and compliance workflows and LLM-enabled applications.

Responsibilities

• Build scalable batch and stream processing pipelines ingesting security telemetry and compliance artifacts.
• Design data models for risk, controls, and audit evidence; enable self-service analytics.
• Implement data quality, lineage, metadata, and access controls for auditability.
• Develop AI-enabled capabilities to accelerate governance, risk, compliance, and cyber operations.
• Engineer integrations between data platforms and enterprise systems with observability and runbooks.
• Partner with Cyber, Risk, Compliance, Privacy and Legal to translate requirements into guardrails.

Skills

Independent work

Team collaboration

Communication skills

Attention to detail

Relationship building

Leadership

Multitasking

Meeting deadlines

Guidance to others

Education

Bachelor's degree

Tools

Python

SQL

Cloud platforms

Containers

Terraform

APIs

Secrets management

Job description

Deloitte is seeking a hands-on Data Engineer to build governed data foundations powering cyber risk, compliance evidence, and AI-enabled workflows. You will design production-grade pipelines and services supporting risk reporting, controls monitoring, and audit-ready evidence.

The role bridges modern data engineering with Governance, Risk, and Compliance expectations in regulated environments. Recruiting ends 12/31/2026.