AI Data Engineer: Cloud Pipelines & GenAI

Generali Italia; Lombardia; Hybride; EUR 36 000 - 42 000; Plein temps

Avantages offerts par ce poste

Health insurance coverage

Supplementary pension scheme

Corporate welfare plan

Hybrid working arrangements

Meal vouchers

Training programs and Learning平台

Opportunities for internal and国际mob

Résumé du poste

Generali Italia seeks a data engineer/ML engineer to design cloud-native data pipelines for analytics and AI, ingest data into lakehouse architectures, and ensure data quality with governance by design.

You will support AI/ML workflows, develop feature stores, preprocessing pipelines, and training datasets while collaborating with data scientists and AI engineers to industrialize models using MLOps and CI/CD. Hybrid work arrangement offered.

Qualifications

• 3 years of experience in Data Engineering or ML Engineering.
• Proficiency in Python, SQL, or Scala; PySpark is a plus.
• Experience with cloud platforms (AWS, Azure, or GCP) and data storage technologies.
• Hands-on experience with distributed frameworks (e.g., Spark).
• Knowledge of data modeling and data governance concepts.
• Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker).
• Bachelor's degree in Computer Science, Engineering, or a related field.

Responsabilités

• Design and develop cloud-native data pipelines for analytics, AI, and data-driven applications.
• Build and optimize batch and streaming data ingestion into modern data lakehouse architectures.
• Ensure data quality, reliability, observability, and governance by design.
• Support AI/ML workflows by developing feature stores, preprocessing pipelines, and training datasets.
• Contribute to GenAI and advanced AI use cases through optimized data architectures.
• Develop backend data services and APIs for production environments.
• Collaborate with Data Scientists and AI Engineers to industrialize models using MLOps and CI/CD practices.
• Work with Platform Engineering and SRE teams to ensure scalability, monitoring, and cost optimization.
• Contribute to the evolution of the cloud data platform architecture.
• Ensure security, privacy, and compliance (especially for financial data).
• Stay up to date on emerging trends (GenAI, real-time analytics, data mesh, AI platforms).

Connaissances

Python

SQL

Scala

PySpark

Cloud platforms (AWS/Azure/GCP)

Spark

Data modeling

Data governance

MLOps tools (MLflow, Kubeflow, SageMak

Formation

Bachelor's degree in Computer Science, Engineering, or a related field

Outils

MLflow

Kubeflow

SageMaker

Description du poste

Generali Italia seeks a data engineer/ML engineer to design cloud-native data pipelines for analytics and AI, ingest data into lakehouse architectures, and ensure data quality with governance by design.

You will support AI/ML workflows, develop feature stores, preprocessing pipelines, and training datasets while collaborating with data scientists and AI engineers to industrialize models using MLOps and CI/CD. Hybrid work arrangement offered.