In this role you will design and implement robust data architectures and pipelines to support data-driven decision making. You will collaborate with data science teams to align data requirements with scalable, production-ready solutions. You’ll drive the ML lifecycle and data ops to accelerate AI initiatives and R&D efforts. This position sits within the Chief Protection Officer Team, offering impact through cross-functional collaboration and international exposure. You will be empowered to shape data systems that underpin strategic protection-focused initiatives.Collaborate with the data science team to understand data needs and design robust architectures and data modelsManage the lifecycle of data and AI models to improve business processesArchitect, build, and deploy data extraction, transformation, and loading processes to create data pipelines using modern web frameworks and object-oriented languagesMaintain and enhance production data processes by delivering scalable,



optimized solutionsContribute to R&D efforts to identify and integrate cutting-edge technical solutionsMaster's Degree in Computer Science, Computer Engineering, Data Engineering or related field5–10 years of experience in Back-End Architectures and Data EngineeringProficiency in SQL, ETL, data modeling, and programming languages such as Python, Julia, C++Experience with DataOps practices and improving data workflowsKnowledge of cloud services (AWS, GCP, Azure) and their data engineering applicationsFamiliarity xysqume with MLOps and tools like MLFlow for ML lifecycle managementProficiency in SQL and NoSQL databasesExperience with Docker and Kubernetes for containerization/orchestrationFluency in Italian and English (written and spoken)Willingness to travel internationallyInternational exposure through academics or professional experienceAbility to work effectively in a multidisciplinary teamteam collaborationSQLETLdata modeling#J-18808-Ljbffr

📌 Data Engineer (Monza)
🏢 Allianz
📍 Monza