Data Engineer Senior, Inetum

Inetum

Location:
Portugal, Lisbon

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

We are looking for a highly skilled professional to lead the industrialisation of AI use cases, managing their lifecycle in production and ensuring robustness, traceability, and compliance with the highest standards of quality and security. You will work closely with data science, data engineering, cybersecurity, compliance, and IT operations teams to deliver reliable, scalable, and secure AI services.

Job Responsibility:

Analyse, monitor, and optimise ML models, tracking their performance
Design and implement CI/CD pipelines for ML models and data flows
Containerise and deploy models via APIs, batch processes, and streaming
Manage model versioning and traceability
Ensure continuous improvement and adaptation of AI use cases and ML models
Set up monitoring and alerting for model performance
Establish incident response protocols in collaboration with IT
Maintain dashboards and automated reports on model health
Implement validation frameworks for data and models (e.g., Great Expectations, unit tests, stress tests), in collaboration with Group Governance
Contribute to documentation and apply technical best practices
Ensure full traceability, auditability, and explainability of models in production
Apply security-by-design principles: IAM policies, encryption, secure APIs
Align with regulatory standards (e.g., GDPR, DORA, AI Act)
Collaborate with cybersecurity and risk teams to validate and monitor AI implementation

Requirements:

Minimum of 5 years’ experience in MLOps, data engineering, or DevOps with a focus on ML/DL/LLM/AI agents in production environments
Strong proficiency in Python
Hands-on experience with CI/CD tools such as GitLab, Docker, Kubernetes, Jenkins
Solid understanding of ML, DL, and LLM models
Experience with ML lifecycle tools such as MLflow or DVC
Good understanding of model lifecycle, data traceability, and governance frameworks
Experience with on-premise and hybrid infrastructures
Excellent communication skills and ability to collaborate with remote teams
Proactive mindset, technical rigour, and engineering mentality
Willingness to learn, document, and standardise best practices
Innovative mindset and ability to drive change
English proficiency at C1 level

Nice to have:

Knowledge of Bash / YAML / SQL
Experience in developing and deploying agentic tools
Experience working with security teams or implementing IAM policies and data protection
French proficiency at B2 level

What we offer:

Work in a constantly evolving environment
Contribute to digital impact
Opportunity for growth and development

Additional Information:

Job Posted:
July 07, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Engineer Senior