PpThe Data Technologies, Analytics BI Solutions team’s mandate is to design, build, and operate scalable Data, AI, and Cloud products and platform services, engineered for reliability, reuse, and long-term sustainability. The team mission is produce fully engineered, product-oriented platforms that enable measurable and repeatable business value at scale. The team owns the end-to-end engineering foundations required for industrialization: reference architectures, shared platforms, data governance enablers, AI engineering practices, reliability standards, security controls, performance optimization, and cost efficiency. /p pOperating within a tech-inspired model, the team collaborates closely with other IT internal structures (such as Innovation AI Forge) while maintaining a clear mandate: transforming validated initiatives into robust, operable, and economically sustainable products, with the clear objective of ensuring that what reaches production is scalable, maintainable, and aligned with the long-term digital engineering backbone required to support growth, adoption, and financial sustainability. /p pThe selected candidate will: /p ul liDesign, build, and evolve scalable cloud-native data pipelines supporting analytics, AI use cases, data products, and digital applications. /li liDevelop and optimize batch and streaming data ingestion frameworks, integrating structured, semi-structured, and unstructured data into modern data lakehouse architectures. /li liImplement data quality, observability, and data reliability frameworks, ensuring trust, lineage, and compliance by design. /li liEnable AI and ML workflows by: ul liDesigning and maintaining feature stores /li liManaging high-quality training and inference datasets /li liSupporting GenAI and advanced AI use cases with optimized data access patterns /li /ul /li liBuild backend data services and APIs to support AI‑powered and digital solutions in production environments. /li liCollaborate with AI Engineers and Data Scientists to industrialize models through MLOps best practices, CI/CD pipelines, and scalable deployment patterns. /li liWork closely with Platform Engineering and SRE teams to ensure reliable deployment, monitoring, scalability, and cost optimization of data and AI workloads. /li liContribute to the evolution of the Cloud Data Platform architecture, optimizing storage, compute engines, and distributed processing frameworks. /li liEnsure security, privacy, and regulatory compliance, especially in handling sensitive financial data. /li liProvide technical guidance on emerging trends such as GenAI integration, realtime analytics, data mesh architectures, and scalable AI platforms. /li liCoordinate with internal and external partners in delivering complex data, AI, and digital initiatives. /li /ul h3Requirements /h3 ul li3+ years of experience in Data Engineering or Machine Learning Engineering. /li liStrong proficiency in Python (Pandas or similar, PySpark), SQL, or Scala for data manipulation and transformation. /li liExperience with cloud platforms such as AWS, Azure, or Google Cloud and data storage technologies (Redshift, DynamoDB, BigQuery, etc.). /li liHands‑on experience with distributed computing frameworks (Spark, Ray, etc.). /li liSolid understanding of data modeling, data contracts, and governance frameworks. /li liExperience with MLOps and AI lifecycle tools (e.g., MLflow, Kubeflow, Vertex AI, SageMaker). /li liExperience with MLOps and AI lifecycle tools (e.g., MLflow, Kubeflow, Vertex AI, SageMaker). /li liBachelor’s degree in Computer Science, Engineering, or a related field. /li /ul h3Nice to have /h3 ul liMaster’s degree in Engineering, or a related field, or PhD in Computer Science. /li liExperience in the financial sector. /li liFamiliarity with BI tools such as Power BI, Tableau, or Looker. /li liUnderstanding of regulatory requirements in financial data governance. /li /ul h3Company Profile /h3 pGenerali is a major player in the global insurance industry – a strategic and highly important sector for the growth, development and welfare of modern societies. Over almost 200 years, we have built a multinational Group that is present in more than 60 countries, with 470 companies and nearly 80,000 employees. Our Group aims to become the standard bearer and industry leader in the European retail insurance market, building on our existing base of 50 million retail clients, out of an overall total of 72 million. Generali Asset Management is a European investment specialist, offering a wide range of active funds and bespoke solutions across both public and private markets. Our investment experience is grounded in a solid heritage, with skills that have been developed and honed over time by managing Generali Group and external clients' assets. Generali Asset Management S.p.A. guarantees a solid framework of services designed to support various asset management activities. Key elements include the provisioning of IT services over all applications underpinning the investment and asset management value chain (Front Office, Trading Desk, Investment Compliance, Middle and Back Office, Analytics and Reporting, etc.). /p /p #J-18808-Ljbffr