Data Platform Engineer for AI & Analytics
Summary
The Data Platform Engineer will design, build, and maintain a central data platform to support analytics and AI/ML initiatives. The role involves developing scalable data pipelines and collaborating with stakeholders to ensure secure, high-quality data delivery using technologies like Databricks, Snowflake, and Azure.
METTLER TOLEDO is seeking a Data Engineer to design, build and maintain the central data platform for analytics and AI/ML initiatives. You will develop scalable data pipelines, ensure high-quality, secure data, and support data distribution across the organization.
Work closely with data scientists, analysts and business stakeholders to deliver trusted data for operational, analytical and AI/ML use cases. Experience with Databricks, Snowflake, Airflow or Prefect, and Azure is preferred.