Senior Data Engineer — Pipelines, Airflow & Databricks (Hybrid)

Marks & Spencer is seeking a data engineering professional to design, build and maintain scalable data pipelines that support data science workflows. You will manage Airflow orchestration, work hands-on with Databricks, and contribute to engineering standards through GitHub collaboration.

Ideal candidates will have strong data engineering experience, the ability to own delivery, and a proactive, collaborative approach to cross-team work, including exposure to MLOps concepts.