Senior Data Engineer: Cloud Pipelines & Platform Innovation

Marks and Spencer; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Employee discount

Bonus schemes

Pension scheme

Life assurance

Training programmes

Wellbeing support

Volunteer day

Job summary

Marks & Spencer is seeking a Senior Data Engineer to support data transformation and platform delivery across business partners. You will help build a modern data platform using cloud technologies, driving a culture of data democratisation and robust, scalable pipelines.

The role emphasizes collaboration with Product and Delivery teams to deliver value and empower data-driven decision making, with a focus on automated, high-quality data solutions in a fast-paced retail environment.

Qualifications

• Extensive proven experience in cloud-based data technologies and data warehousing design principles, preferably Azure.
• Deep understanding of design/building end-to-end data solutions.
• Solid experience with ETL tools, Databricks, SQL.
• Solid experience with Python/SQL/Spark.

Responsibilities

• Build and maintain high-quality, reliable data solutions and own it with a high degree of automation in the cloud.
• Own complex tasks in the backlog and deliver them routinely with no significant issues.
• Support other data engineers to produce clean, quality code through code reviews and pair programming.
• Design, develop, and maintain scalable data pipelines that adhere to ETL principles and business goals.
• Drive solution through experimentation and innovation.
• Support the build of analytical tools that use the data pipeline to deliver actionable insights, enabling data driven decision making, operational efficiency and other key business performance metrics.

Skills

Azure

Databricks

SQL

Python

Spark

ETL

Tools

Databricks

SQL

Job description

Marks & Spencer is seeking a Senior Data Engineer to support data transformation and platform delivery across business partners. You will help build a modern data platform using cloud technologies, driving a culture of data democratisation and robust, scalable pipelines.

The role emphasizes collaboration with Product and Delivery teams to deliver value and empower data-driven decision making, with a focus on automated, high-quality data solutions in a fast-paced retail environment.