Responsibilities Design scalable, secure data architectures: Data Lake, Data Warehouse Produce cost estimates and objectively compare different technologies and architectures Contribute to technology selection based on business requirements and technical constraints Build and industrialize batch and real-time data pipelines Implement CI/CD practices, observability, governance, and data quality Optimize performance and cost in cloud environments Qualifications Proven experience of over 7 years in data engineering Master's degree (Bac+5) or engineering degree in a data-related field Expertise with modern data platforms, preferably Databricks or Microsoft Fabric Proficiency with a public cloud (Azure, AWS, or GCP) Strong SQL and Python skills Solid knowledge of modern data architecture Strong interpersonal skills, particularly for leading various workshops (design sessions, agile workshops, retrospectives, and scoping sessions) #J-18808-Ljbffr
