Real-Time Data Engineer: Snowflake & Kafka, Hybrid/Remote
Summary
Data engineer designing, building and optimising cloud-based data pipelines focused on real-time ingestion, transformation and modelling, using Snowflake as the warehouse and Kafka for streaming, collaborating with architects, data scientists and analysts. Hybrid/remote across Portugal and Spain.
Stott and May Inc. is seeking a Data Engineer to design, build and optimise cloud-based data pipelines for a modern platform. The role focuses on real-time data ingestion, transformation and modelling with Snowflake as the data warehouse and Kafka for streaming. You will work with architects, data scientists and analysts on requirements and delivery.
The position supports hybrid/remote working across Portugal and Spain, with industry-standard health insurance and professional development support.