Data Engineer Ms Azure
Role details
Job location
Tech stack
Requirements
Experteer Overview In this role you will architect and operate advanced data pipelines and cloud-based infrastructure to integrate financial data across Allianz business systems for SAP. You will collaborate with cross-functional teams, sometimes leading project components, and apply modern data lake and data warehouse practices on Databricks and Azure. The role supports modernization of legacy SAS/Oracle stacks and focuses on scalable, end-to-end ETL and data modeling. You will help deliver impactful data solutions that enable better business decisions and SAP integration.Compensaciones / Beneficios - Collaborate with teammates and guide smaller project components and technical options for clients and team - Develop end-to-end ETL processes per project architecture and specifications - Design landing zones, data repositories, and comprehensive data models (tables, data marts) - Program and orchestrate staging operations using Databricks, with robust pipelines - Establish raw and business data vaults, refactor pipelines into a library concept - Set up client-specific data warehouses and data marts within the Databricks-based consumption layer - Integrate data from external DBMS (OCI Oracle, AES Snowflake) and implement complex migration scenarios, leveraging AI tools where appropriateResponsabilidades - Bachelor's or Master's degree in Mathematics, (Business) Computer Science, or comparable qualification - Strong experience with agile methodologies and outcome-focused delivery - Excellent communication and stakeholder-management skills - Hands-on expertise with Databricks, Python, PySpark, notebooks, GitHub, Azure Functions, and workflow orchestration/automation tools - Solid knowledge of cloud-native technologies in Microsoft Azure and scalable cloud solutions - Analytical problem-solving and ability to present complex concepts clearly in written, visual, and oral formats - Advanced English (CEFR B or equivalent) and track record on multi-year cloud projects - Interest in machine learningRequisitos principales - hybrid work model - up to 25 days abroad - bonus scheme - pension - employee shares program - employee discounts