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Lead-level data engineer at Zurich Insurance in Zürich-Oerlikon (hybrid) who designs the life-insurance analytics platform, data architectures, and data products on Microsoft Azure Synapse/Fabric, building pipelines, governance, and data quality with business and IT teams.
Lead Data Solutions Engineer owning the analytical platform for Zurich Insurance Switzerland's individual life business: designing scalable data architectures and data products, building and operating Azure Synapse/Fabric data pipelines, and ensuring data quality, governance, and visualization for analytics and reporting.
Data Engineer at Zurich Canada builds, operates and supports data pipelines and analytics-ready datasets on Microsoft Azure and Databricks using Python and SQL, powering reporting, advanced analytics and AI-enabled solutions. Hybrid role with three in-person days per week; salary $65,000–$100,000 CAD.
Design, build, and maintain data warehouses and pipelines using Azure cloud services. You will develop ETL processes, create Power BI dashboards, and collaborate with IT teams to ensure data accuracy and governance within an insurance context.
Data engineer who designs, builds, and maintains the data warehouse and datamarts, develops ETL processes, and creates automated Power BI reports and dashboards on Azure, while driving data governance and business analytics. Requires 5+ years of data engineering experience with strong Azure and Power BI skills in an agile setting.
Zurich 56 Company Ltd is seeking a Senior Data Analyst for their Commercial Insurance team in Barcelona. ¿Está pensando en solicitar este empleo? No se demore, desplácese hacia abajo y envíe su solicitud lo antes…
Designs and operates AWS cloud infrastructure with Terraform, builds containerized workloads, automates CI/CD pipelines, and embeds security checks while contributing to DevSecOps practices and incident response.
Designs and maintains AWS cloud infrastructure using Terraform, automates CI/CD pipelines with GitHub Actions, and ensures high availability via containerization and observability tools like Dynatrace.
Builds and maintains scalable data infrastructure, including lakes, pipelines, and reporting systems, to support APAC digital business operations.
Build and maintain web apps, APIs, and integrations for an insurance platform using Next.js (frontend) and NestJS (backend) on AWS with PostgreSQL.
Build and maintain cloud-based data pipelines, lakehouses, and reporting systems using SQL, ETL/ELT, and tools like Databricks and Power BI to deliver scalable analytics for APAC business teams.
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Build and maintain scalable data pipelines on Databricks, using Python and SQL to feed reliable datasets to data scientists and analysts.
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