Senior Data Engineer: Pipelines, Airflow & Databricks

Senior Data Engineer: Pipelines, Airflow & Databricks

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

  • Tasks: Design and maintain scalable data pipelines using Airflow and Databricks.
  • Company: Join Marks & Spencer, a leading retail brand in the UK.
  • Benefits: Competitive salary, flexible working options, and career development opportunities.
  • Other info: Fast-paced environment with opportunities for innovation and growth.
  • Why this job: Make a real impact on analytics across merchandising and supply chain.
  • Qualifications: Experience with data engineering and collaboration with data science teams.

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

Marks & Spencer in the United Kingdom is seeking a skilled data engineer to design and maintain scalable data pipelines, collaborate with data science teams, and deliver high-quality data solutions. You will work with Airflow, Databricks, and GitHub, maintain reliability and observability, and contribute to engineering standards while adapting to a fast-paced retail environment.

This position also offers opportunities to influence analytics across merchandising, supply chain, and customer.

Senior Data Engineer: Pipelines, Airflow & Databricks employer: MARKS&SPENCER

At MARKS&SPENCER, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. As an Engineering Strategy Lead in Greater London, you will benefit from a supportive environment that prioritises professional growth, offers mentorship opportunities, and encourages the adoption of cutting-edge technologies. Join us to be part of a team that values excellence and is committed to making a meaningful impact in the retail sector.

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Contact Details:

MARKS&SPENCER Recruitment Team

We think you need these skills to ace Senior Data Engineer: Pipelines, Airflow & Databricks

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