Senior ML Data Engineer: Real-Time Feature Pipelines
Summary
GoWish is hiring a Senior ML Data Engineer in Denmark to own offline-to-online feature infrastructure powering real-time recommendation and search. Day to day this means building low-latency data syncs and feature-serving layers, resilient pipelines with Airflow and dbt, and infrastructure as code with Terraform and Docker.
GoWish is seeking a systems-minded Senior ML Data Engineer to own offline-to-online feature infrastructure powering real-time recommendation and search engines. You will build low-latency data syncs and feature-serving layers bridging warehouses with operational stores, caches, and Feature Stores.
Responsibilities include building resilient pipelines, orchestrations with Airflow and dbt, and IaC with Terraform and Docker to ensure sub-second queries and SLAs.