ppbData Technologies, Analytics BI Solutions /b team is responsible for designing, building, and operating scalable Data, AI, and Cloud platforms, enabling reliable, reusable, and business-driven solutions at scale.
/p pWorking 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.
/p h3Selected candidate responsibilities /h3 ul liDesign and develop cloud-native data pipelines for analytics, AI, and data-driven applications /li liBuild and optimize batch and streaming data ingestion into modern data lakehouse architectures /li liEnsure data quality, reliability, observability, and governance by design /li liSupport AI/ML workflows by developing feature stores, preprocessing pipelines, and training datasets /li liContribute to GenAI and advanced AI use cases through optimized data architectures /li liDevelop backend data services and APIs for production environments /li liCollaborate with Data Scientists and AI Engineers to industrialize models using MLOps and CI/CD practices /li liWork with Platform Engineering and SRE teams to ensure scalability, monitoring, and cost optimization /li liContribute to the evolution of the cloud data platform architecture /li liEnsure security, privacy, and compliance (especially for financial data) /li liStay up to date on emerging trends (GenAI, real-time analytics, data mesh, AI platforms)

/li /ul h3Requirements /h3 ul li3 years of experience in Data Engineering or ML Engineering /li liProgramming skills (Python, SQL, or Scala; experience with PySpark is a plus) /li liExperience with cloud platforms (AWS, Azure, or GCP) and data storage technologies /li liHands?on experience with distributed frameworks (e.g., Spark) /li liKnowledge of data modeling and data governance concepts /li liExperience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker) /li liBachelor's degree in Computer Science, Engineering, or a related field /li /ul h3What we offer /h3 pThe role is offered within the 3^Area Competente category, under the National Collective Labour Agreement for the Banking Sector (CCNL Credito) and the applicable Company Collective Agreement (Contratto Integrativo Aziendale).
/p pThe starting gross annual salary is €******.
The final offer will reflect the candidate's professional experience and the technical and interpersonal competences required for the position and may include an individual variable compensation component.
/p ul liHealth insurance coverage /li liSupplementary pension scheme /li liHybrid working arrangements (Smart?working) /li liPreferential access to Group products and services /li liTraining programs and Learning platforms /li liOpportunities for internal and international mobility /li /ul pAs an Equal Opportunity Employer, Generali evaluates all applications based exclusively on objective and gender?neutral criteria, including skills, experience and potential, ensuring fairness and transparency throughout the selection process.
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