Data Engineer

Описание You’ll be joining our Retail Technology AI & Data team, the engine behind Zurich’s Retail Claims, Pricing and Underwriting (UW) solutions. This is where data, AI and cloud engineering directly shape how we protect our customers every day.

Задачи • Design and build end‑to‑end Data and AI solutions: Architect scalable, secure and observable data pipelines and services, from ingestion to production, following modern SDLC best practices. • Own data processing at scale in the cloud: Implement high‑performance ETL/ELT in AWS or Azure, leveraging Spark / Databricks (batch and real‑time) with a strong focus on data quality, lineage and reliability. • Industrialise ML & AI with solid MLOps and CI/CD: Build and maintain CI/CD pipelines (Azure DevOps, Jenkins, etc.) for data platforms and ML products, enabling automated testing, deployment and monitoring across environments. • Develop and operate cloud‑native microservices: Design and implement microservices and APIs that expose data and AI capabilities, deployed in secure, resilient cloud environments. • Define MLOps industrialisation strategies: Shape how we productionise models: versioning, feature stores, monitoring, drift detection, and model lifecycle management, in close collaboration with Data Science and Architecture teams. • Bridge business and technology: Translate Claims, Pricing and UW requirements into robust technical architectures, influencing design decisions and ensuring our solutions are both feasible and…