Senior Data Engineer

Role overview Design and build data platforms for enterprise use, with a focus on lakehouse architecture, scalable processing, and real-time systems. The role covers the development and operation of production data pipelines using distributed data technologies.

Responsibilities - Design and implement lakehouse architectures. - Build scalable data pipelines and real-time data systems. - Develop data processing solutions with Spark and Delta Lake. - Operate and support pipelines in production.

Requirements - At least five years of data engineering experience. - Strong PySpark and Delta Lake expertise. - Experience with the Databricks platform. - Strong Python and SQL skills. - Experience operating production data pipelines.

Benefits and work setup - Full-time, remote role.