Job Description The Data Technologies, Analytics & BI Solutions team is responsible for designing, building, and operating scalable Data, AI, and Cloud platforms, enabling reliable, reusable, and business-driven solutions at scale. Working in a tech-driven environment, the team partners with internal IT functions (e.g., Innovation & AI Forge) to transform validated initiatives into robust, scalable, and production-ready products. The selected candidate will: * 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) Requirements * 3 years of experience in Data Engineering or ML Engineering * Programming skills (Python, SQL, or Scala; experience with 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 What we offer The role is offered within the 3^Area Professio

📌 Data Engineer (Lombardia)
🏢 Generali Group
📍 Lombardia