Ai Data Engineer (Gcp) — Bigquery & Gen Ai Specialist

Accenture; Almada; Híbrido; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Office in Picoas Lisboa

Resumo da oferta

Inetum is seeking an AI Data Engineer to transform data and incident response into a secure, production-ready AI system in a hybrid-capable Lisbon-area role. You will build data pipelines for security events and implement AI-driven playbooks in collaboration with SOC and ITSM tools.

The position emphasizes MLOps, governance, and production ML infrastructure, with opportunities to work across vendors and internal teams on risk and ROI analysis.

Qualificações

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

Responsabilidades

• Develop and operate data pipelines (ingestion, normalization, enrichment) for security events.
• Implement end-to-end integrations with SOC and ITSM tools.
• Support incident lifecycle through AI-assisted models and automated playbooks.
• Optimize response processes to reduce operational noise and improve incident prioritization.
• Implement and evolve automation and orchestration workflows (SOAR).
• Ensure MLOps/AIOps practices, including versioning, monitoring, and drift detection.
• Guarantee governance, security and compliance in data/AI usage.
• Mitigate risks such as prompt injection and data leakage.
• Collaborate with vendors and internal teams on AI solution integration and operation.
• Contribute to strategic decisions including risk and ROI analysis.

Conhecimentos

Python

SQL / PostgreSQL

Data pipelines

ML frameworks

Git/versioning

Authentication (SSO/SAML/LDAP)

Production data/ML infra

Ferramentas

BigQuery

GCP

Descrição da oferta de emprego

We are looking for an AI/ML Data Engineer to join a team focused on transforming data and incident response processes into a robust, secure, and production-ready AI system. This role combines data engineering, automation, and cybersecurity, with a strong impact in a production environment.

Key Responsibilities:

• Develop and operate data pipelines (ingestion, normalization, and enrichment) for security events (logs, alerts, and tickets)
• Implement end-to-end integrations with SOC and ITSM tools, ensuring data consistency and quality
• Support the incident lifecycle (triage, investigation, and response) through AI-assisted models and automated playbooks
• Optimize response processes by reducing operational noise and improving incident prioritization
• Implement and evolve automation and orchestration workflows (SOAR)
• Ensure MLOps/AIOps practices, including versioning, performance monitoring, and drift detection
• Guarantee governance, security, and compliance in the use of data and AI models
• Mitigate risks associated with AI usage (e.G., prompt injection, data leakage, incorrect outputs)
• Collaborate with vendors and internal teams on the integration and operation of AI solutions
• Contribute to technical and strategic decision-making, including risk and ROI analysis

Profile

• Strong experience in Python (data engineering, automation, and integration)
• Solid knowledge of SQL / PostgreSQL
• Experience with data pipelines and log/event processing
• Knowledge of ML/Deep Learning frameworks (e.G., PyTorch, TensorFlow)
• Familiarity with versioning (Git), logging, and observability practices
• Knowledge of access control and authentication (SSO, SAML, LDAP)
• Experience or ability to work with data and ML infrastructure in production environments

Nice to Have:

• Experience with SIEM, SOAR, and EDR
• Experience with high-availability environments and infrastructure (including GPU)
• Knowledge of MLOps/AIOps and AI governance

Soft Skills:

• High level of autonomy and critical thinking
• Ability to work in complex, production-oriented environments
• Strong sense of ownership and attention to detail, especially in security contexts
• Good communication and collaboration skills with both technical and business teams
• Continuous improvement mindset and focus on operational efficiency

About Inetum

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Additional Information

• Workplace type: Hybrid (max. of 3 times per week in the office).
• Location: Picoas, Lisboa.

Overview

Ai Data Engineer (Gcp) — Bigquery & Gen Ai Specialist • Caparica, Portuguese Republic, PT