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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Senior Data Engineer — Pipelines, Airflow & Databricks (Hybrid) employer: MARKS&SPENCER
Marks & Spencer is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to lead impactful projects in a hybrid working environment. Join us to be part of a team that values your contributions and supports your professional development while working on cutting-edge technology in a well-respected UK brand.
