Senior Cyber AI Data Engineer & Governance Consultant

Deloitte France; Pittsburgh (Allegheny County); On-site; USD 105,000 - 208,000; Full time

Job summary

Deloitte France is seeking a hands-on Data Engineer to design and operate governed data foundations powering cyber risk, compliance evidence, and AI-enabled workflows. You will build production pipelines, data models, and governance patterns with auditability, privacy-by-design, and strong stewardship.

The role bridges modern data engineering with Governance, Risk, and Compliance in regulated environments, collaborating with Cyber, Risk, Compliance, Privacy, and Legal teams to implement scalable

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 processing, stream processing, or both, and deploying solutions using cloud platforms, containers, infrastructure as code, application programming interfaces, and secrets management.
• Experience implementing data governance controls including data classification, personally identifiable information handling, least‑privilege access, encryption, secrets management, retention, audit logging, and lineage or metadata management.
• Experience supporting governance, risk, and compliance workflows, including risk reporting, audit data requests, controls monitoring, controls testing, compliance metrics, governance, risk, and compliance tool integrations, and large language model‑enabled applications using retrieval‑augmented generation, vector or hybrid retrieval, tool or function calling, evaluation or monitoring, prompt‑injection defenses, and secure access patterns.
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

Responsibilities

• Building scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores.
• Designing data models for risk and controls domains, including key risk indicators, issues and defects, risk acceptance, control testing outcomes, audit evidence, and policy exceptions, and enabling self-service analytics and dashboards.
• Implementing data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.
• Developing AI-enabled capabilities that accelerate governance, risk, and compliance and cyber operations, including evidence summarization, control testing assist, policy question-and-answer, investigation copilots, ticket triage, and exception reasoning using agentic patterns, workflow orchestration, and retrieval-augmented generation.
• Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using APIs, event patterns, and connectors, with observability and runbooks for production support.
• Partnering with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails.

Skills

Independent work

Team collaboration

Written & verbal communication

Attention to detail

Relationship building

Project leadership

Deadline driven

Guidance to others

Education

Bachelor's degree or equivalent

Tools

Python

SQL

Java

Go

JavaScript

Cloud platforms

Containers

Infrastructure as code

APIs

Secrets management

ServiceNow GRC

Archer

OneTrust

BigID

Job description

Deloitte France is seeking a hands-on Data Engineer to design and operate governed data foundations powering cyber risk, compliance evidence, and AI-enabled workflows. You will build production pipelines, data models, and governance patterns with auditability, privacy-by-design, and strong stewardship.

The role bridges modern data engineering with Governance, Risk, and Compliance in regulated environments, collaborating with Cyber, Risk, Compliance, Privacy, and Legal teams to implement scalable