Data Engineer
Pubblicato il 22-10-2026 - Allianz in Bardi
Overview
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.
Responsabilità
Collaborate with the data science team to understand data needs and design robust architectures and data models
Manage the lifecycle of data and AI models to improve business processes
Architect, build, and deploy data extraction, transformation, and loading processes to create data pipelines using modern web frameworks and object-oriented languages
Maintain and enhance production data processes by delivering scalable, optimized solutions
Contribute to R&D; efforts to identify and integrate cutting-edge technical solutions
Requisiti fondamentali
Master's Degree in Computer Science, Computer Engineering, Data Engineering or related field
5–10 years of experience in Back-End Architectures and Data Engineering
Proficiency in SQL, ETL, data modeling, and programming languages such as Python, Julia, C++
Experience with DataOps practices and improving data workflows
Knowledge of cloud services (AWS, GCP, Azure) and their data engineering applications
Familiarity with MLOps and tools like MLFlow for ML lifecycle management
Proficiency in SQL and NoSQL databases
Experience with Docker and Kubernetes for containerization/orchestration
Fluency in Italian and English (written and spoken)
Excellent communication skills
Willingness to travel internationally
International exposure through academics or professional experience
Ability to work effectively in a multidisciplinary team
excellent communication
team collaboration
adaptability
SQL
ETL
data modeling