Job Description

The Data Technologies, Analytics & BI Solutions team is responsible for designing, building, and operating scalable Data, AI, and Cloud platforms, enabling reliable, reusable, and business-driven solutions at scale.

Working 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.

The selected candidate will:

• Design and develop cloud-native data pipelines for analytics, AI, and data-driven applications
• Build and optimize batch and streaming data ingestion into modern data lakehouse architectures
• Ensure data quality, reliability, observability, and governance by design
• Support AI/ML workflows by developing feature stores, preprocessing pipelines, and training datasets
• Contribute to GenAI and advanced AI use cases through optimized data architectures
• Develop backend data services and APIs for production environments
• Collaborate with Data Scientists and AI Engineers to industrialize models using MLOps and CI/CD practices
• Work with Platform Engineering and SRE teams to ensure scalability, monitoring, and cost optimization
• Contribute to the evolution of the cloud data platform architecture
• Ensure security, privacy, and compliance (especially for financial data)
• Stay up to date on emerging trends (GenAI, real-time analytics, data mesh, AI platforms)

Requirements

• 3+ years of experience in Data Engineering or ML Engineering
• Programming skills (Python, SQL, or Scala; experience with PySpark is a plus)
• Experience with cloud platforms (AWS, Azure, or GCP) and data storage technologies
• Hands-on experience with distributed frameworks (e.g., Spark)
• Knowledge of data modeling and data governance concepts
• Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker)
• Bachelor’s degree in Computer Science, Engineering, or a related field

Initial gross annual salary from €40.000, under the National Collective Labour Agreement for the Banking Sector (CCNL Credito) and the applicable Company Supplementary Agreement (Contratto Integrativo Aziendale). In line with the Company Supplementary Agreement, the following are also provided: health insurance, supplementary pension provision, welfare plan, possibility to work in smart working, preferential terms on products and services offered by the Group, etc.