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.
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The following position is for a Senior Data Engineer — Pipelines, Airflow & Databricks (Hybrid) with Marks & Spencer Group.
This posting is for the Senior Data Engineer — Pipelines, Airflow & Databricks (Hybrid) role at Marks & Spencer Group, based in Greater London, England, United Kingdom.
We are looking to fill the Senior Data Engineer — Pipelines, Airflow & Databricks (Hybrid) position at Marks & Spencer Group in Greater London, England, United Kingdom.