GCP AI Data Engineer — BigQuery & GenAI Specialist

Accenture; Viseu; Híbrido; EUR 80 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work environment

Office at Picoas, Lisboa

Resumo da oferta

Inetum is seeking an AI/ML Data Engineer to join a team transforming data and incident response into a robust, secure AI system. You will develop data pipelines for security events and enable SOC/ITSM integrations to ensure data quality and governance.

The role covers incident triage, AI-assisted models, SOAR automation, and production-ready ML/DL workflows in a hybrid environment based in Picoas, Lisboa.

Qualificações

• Strong experience with Python for data engineering, automation, and integration.
• Solid knowledge of SQL/PostgreSQL.
• Experience building data pipelines and log/event processing.
• Knowledge of ML/ DL frameworks (PyTorch, TensorFlow).
• Familiarity with versioning (Git), logging, and observability practices.
• Knowledge of access control and authentication (SSO, SAML, LDAP).
• Experience with data/ML infra in production environments.

Responsabilidades

• Develop and operate data pipelines for security events (logs, alerts, tickets).
• Implement end-to-end integrations with SOC and ITSM tools.
• Support incident lifecycle with AI-assisted models and automated playbooks.
• Reduce operational noise and improve incident prioritization.
• Implement and evolve automation and orchestration workflows (SOAR).
• Ensure MLOps/AIOps practices (versioning, monitoring, drift detection).
• Guarantee governance, security, and compliance in data/AI usage.

Conhecimentos

Python

SQL

Data pipelines

ML frameworks

Git & observability

Auth & SSO

Production infra

Descrição da oferta de emprego

Inetum is seeking an AI/ML Data Engineer to join a team transforming data and incident response into a robust, secure AI system. You will develop data pipelines for security events and enable SOC/ITSM integrations to ensure data quality and governance.

The role covers incident triage, AI-assisted models, SOAR automation, and production-ready ML/DL workflows in a hybrid environment based in Picoas, Lisboa.