Data Engineer & AI Platforms Associate

04 ago - Milano
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Experteer Overview

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In this role, you will design, build, and maintain scalable Data & AI architectures and data solutions to ensure timely, accurate data across the organization. You will work at the intersection of Data Engineering, Platform Engineering, and AI Enablement, delivering production‑grade solutions in collaboration with Data Scientists and business stakeholders. You’ll shape the Data & AI Platform, drive governance, observability, and cloud efficiency while advancing AI and Generative AI use cases. This is an opportunity to lead architectural decisions and accelerate data‑driven impact across Generali Real Estate.
Retribuzione / Benefits

Design and evolve core components of the Data & AI Platform with architectural leadership for scalable, reliable foundations
Build and monitor robust data pipelines with data quality, observability, and governance by design
Advance the platform roadmap, assess new technologies, and define long‑term Data & AI architecture strategy
Industrialize predictive and Generative AI solutions with Data Scientists into secure, scalable production assets
Create standards, frameworks, and reusable components to accelerate cross‑team delivery
Champion data governance including metadata, cataloging, lineage, taxonomy, and governance processes




Develop and improve Data & AI observability, monitoring, and data quality practices
Optimize platform performance, scalability, and cloud consumption using FinOps and best practices
Collaborate with stakeholders to translate requirements into scalable data‑driven and AI‑enabled solutions
Enable organization‑wide adoption of Data & AI capabilities through self‑service tools and accelerators
Responsabilità

5+ years in Data Engineering, Platform Engineering, Cloud Engineering or similar roles
Strong programming in Python and SQL
Experience designing and operating data pipelines, ETL/ELT frameworks, and enterprise data platforms
Knowledge of data analysis, xysqume modeling, lakehouse and data warehousing architectures
IaC and DevOps experience (Terraform, GitHub, CI/CD pipelines)
Hands‑on cloud experience (storage, compute, networking, identity), AWS preferred
Ability to define architecture standards and reusable frameworks
Experience deploying Data & AI solutions in production
Excellent problem‑solving and stakeholder management
Fluent in Italian and English
Requisiti fondamentali

Health insurance coverage
Supplementary pension scheme
Hybrid working arrangements
Meal vouchers
Training programs and Learning platforms
Internal and international mobility

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