Data Engineer & AI Platforms Senior Associate

Experteer Overview

In this role you design and evolve the Data & AI Platform to enable scalable, production‑grade data and AI solutions. You work at the intersection of Data, Platform, and AI Enablement, partnering with Data Scientists and business stakeholders to industrialize AI and support data‑driven decisions. You drive platform roadmaps, governance, observability, and FinOps‑driven optimization to deliver measurable business value at scale.

Retribuzione / Benefits

• Design, develop and evolve the core components of the Data & AI Platform with scalable, reliable foundation for analytics, predictive AI and Generative AI use cases
• Build and oversee robust data pipelines with engineering best practices, including data quality, observability and governance by design
• Contribute to platform roadmap and long-term architecture strategy by assessing tech opportunities
• Industrialize predictive and Generative AI solutions in collaboration with Data Scientists into production‑ready assets
• Create standards, engineering frameworks and reusable components to accelerate delivery across the ecosystem
• Champion data governance across the platform with metadata management, cataloging, lineage, taxonomy and governance processes
• Develop and enhance Data & AI observability capabilities (monitoring, alerting, data quality, lineage)
• Optimize platform performance, scalability and cloud consumption following FinOps best practices
• Collaborate with stakeholders to translate requirements into scalable, data‑driven and AI‑powered solutions
• Enable adoption of Data & AI capabilities with self‑service services, accelerators and reusable solutions

Responsabilità

• Bachelor's Degree in Computer Science, Information Technology, Engineering or related field
• 8+ years in Data Engineering, Platform Engineering, Cloud Engineering or similar roles
• Strong programming skills in Python and SQL
• Solid background in software engineering and scalable systems design
• Experience designing and operating data pipelines, ETL/ELT frameworks and enterprise‑scale data platforms
• Knowledge of data analysis, modeling, data lakehouse and data warehousing architectures
• Experience with Infrastructure-as-Code and DevOps (Terraform, GitHub, CI/CD)
• Hands‑on knowledge of cloud (storage, compute, networking, identity), AWS preferred
• Experience defining architecture standards, engineering best practices and reusable frameworks
• Experience deploying and operating Data & AI solutions in production
• Excellent problem‑solving and stakeholder management skills
• Fluent in Italian and English

Requisiti fondamentali

• Health insurance
• Supplementary pension scheme
• Corporate welfare plan
• Hybrid working (Smart‑working)
• Meal vouchers
• Training programs