Orange Business is seeking an Expert Data Engineer with strong Snowflake expertise to design, build and optimize a modern cloud data platform. You will collaborate with data architects, analysts and business stakeholders to deliver reliable, scalable and well-governed data products. The role is based in Meyrin, Switzerland, with a hybrid work arrangement. Responsibilities include designing, developing and maintaining scalable data pipelines and transformation workflows in Snowflake; building efficient data models for analytics and reporting; integrating structured and semi-structured data from multiple sources; optimizing Snowflake queries, storage, compute resources, performance and costs; implementing automated data quality controls and monitoring; ensuring data security, governance, lineage and compliance; contributing to CI/CD processes and deployment automation; troubleshooting complex data and performance issues; defining engineering standards, conducting code reviews and mentoring other data engineers; translating business requirements into robust technical solutions. Ideal candidates will have extensive data engineering experience and hands-on Snowflake expertise (advanced SQL and data modeling, performance tuning, virtual warehouses, stages, streams, tasks, Snowpipe, RBAC, cost monitoring). Proficiency in SQL and Python, experience with orchestration and data integration tools, Git, automated testing and CI/CD, and knowledge of data quality, observability, governance and security are required. Preferred qualifications include private banking, wealth management, ene

Orange Business is seeking an Expert Data Engineer with strong Snowflake expertise to design, build and optimize a modern cloud data platform. You will collaborate with data architects, analysts and business stakeholders to deliver reliable, scalable and well-governed data products. The role is based in Meyrin, Switzerland, with a hybrid work arrangement. Responsibilities include designing, developing and maintaining scalable data pipelines and transformation workflows in Snowflake; building efficient data models for analytics and reporting; integrating structured and semi-structured data from multiple sources; optimizing Snowflake queries, storage, compute resources, performance and costs; implementing automated data quality controls and monitoring; ensuring data security, governance, lineage and compliance; contributing to CI/CD processes and deployment automation; troubleshooting complex data and performance issues; defining engineering standards, conducting code reviews and mentoring other data engineers; translating business requirements into robust technical solutions. Ideal candidates will have extensive data engineering experience and hands-on Snowflake expertise (advanced SQL and data modeling, performance tuning, virtual warehouses, stages, streams, tasks, Snowpipe, RBAC, cost monitoring). Proficiency in SQL and Python, experience with orchestration and data integration tools, Git, automated testing and CI/CD, and knowledge of data quality, observability, governance and security are required. Preferred qualifications include private banking, wealth management, ene