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DATA ENGINEER

Allianz

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
Offerta di lavoro pubblicata 1 giorno fa
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