Data Engineer & AI Platforms Associate

Within the  Innovation & Data  team of  Generali Real Estate , we are looking for a highly skilled  Data Engineer & AI Platforms Senior Associate  who will play a key role in the evolution of our Data & AI ecosystem.

The ideal candidate will have a strong understanding of Data & AI architectures, cloud technologies, scalable software development and production deployment practices. The role is responsible for designing, implementing and maintaining scalable Data & AI architectures and developing data solutions that ensure the timely and accurate availability of data across the organization.

This position sits at the intersection of  Data Engineering, Platform Engineering and AI Enablement , with a strong focus on building production-grade solutions. The successful candidate will work closely with Data Scientists to industrialize AI models and with business stakeholders to accelerate the adoption of data-driven and AI-powered solutions.

Key Responsibilities

Design, develop and evolve the core components of the Data & AI Platform , providing technical leadership on architectural decisions and ensuring a scalable, reliable and future-ready foundation that supports advanced analytics, predictive AI and Generative AI use cases across the organization.

Build and oversee robust, scalable and high-performance data pipelines , establishing engineering best practices to ensure efficient data ingestion, transformation and distribution, while embedding data quality, observability and governance by design.

Drive the evolution of the platform roadmap , assessing emerging technologies, identifying innovation opportunities and contributing to the definition of the long-term Data & AI architecture strategy.

Lead the industrialization of predictive and Generative AI solutions , partnering with Data Scientists to transform prototypes and experimentation into secure, scalable and production-ready assets capable of delivering measurable business value.

Design and implement standards, engineering frameworks and reusable components , promoting consistency, accelerating delivery and enabling teams to develop and deploy solutions more efficiently across the Data & AI ecosystem.

Champion data governance practices across the platform , ensuring effective implementation of metadata management, data cataloging, lineage, taxonomy and governance processes that enhance transparency, trust and discoverability of enterprise data assets.

Implement and continuously improve data governance capabilities , including metadata management, data cataloging, lineage, taxonomy and governance processes that ensure transparency, discoverability and trust.

Develop and continuously enhance Data & AI observability capabilities , driving best practices for monitoring, alerting, data quality management, lineage tracking and platform reliability.

Optimize platform performance, scalability and cloud consumption , leveraging Fin Ops principles and engineering best practices to maximize operational efficiency and long-term sustainability.

Collaborate with business stakeholders, Data Scientists, Data Analysts and technology teams , translating complex business and technical requirements into scalable solutions that enable data-driven and AI-powered decision making.

Enable the adoption of Data & AI capabilities across the organization , providing self-service services, accelerators and reusable solutions that empower business teams and accelerate innovation

Requirements
Don’t hesitate to apply if you have the following requirements:

Bachelor’s Degree in  Computer Science ,  Information Technology ,  Engineering  or a related field.

5+ years of experience  in Data Engineering, Platform Engineering, Cloud Engineering or similar roles.

Strong programming skills in  Python and SQL .

Solid background in  software engineering and designing scalable systems

Proven experience  designing and operating data pipelines , ETL/ELT frameworks and enterprise-scale data platforms.

Strong knowledge of  data analysis, data modeling ,  data lakehouse  and  data warehousing architectures .

Experience with  Infrastructure-as-Code  and  Dev Ops practices , including Terraform, Git Hub and…