Senior Data Engineer - Scalable Pipelines for Data Science

Senior Data Engineer - Scalable Pipelines for Data Science

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and maintain robust data pipelines for analytics and data science.
  • Company: Join Marks & Spencer, a leading UK retailer with a commitment to innovation.
  • Benefits: Enjoy a 20% employee discount, bonuses, pension scheme, and wellbeing support.
  • Other info: Opportunity to work with cutting-edge tools like Databricks and Airflow.
  • Why this job: Be part of a dynamic team shaping the future of data engineering.
  • Qualifications: Strong data engineering experience and excellent communication skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Marks & Spencer is seeking a Data Engineer in the United Kingdom to design, build, and maintain robust data pipelines supporting analytics and data science.

The role involves working with the Databricks suite and developing complex Airflow orchestrations.

Applicants should have strong data engineering experience, the ability to communicate effectively, and a proactive approach to problem-solving.

Benefits include a 20% employee discount, discretionary bonuses, a generous pension scheme, and various wellbeing supports.

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Contact Details:

Marks & Spencer Recruitment Team

We think you need these skills to ace Senior Data Engineer - Scalable Pipelines for Data Science

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Data Engineering
Communication Skills
API Integration