Staff Data Engineer

What's in it for you

Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day.

We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.

Here are some of the benefits we offer that make working for M&S just that little bit more special...

• After completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
• Competitive holiday entitlement with the potential to buy extra holiday days!
• Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
• A generous Defined Contribution Pension Scheme and Life Assurance.
• A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
• Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
• Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
• Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
• A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.

• Design, build and maintain high-quality, reliable data solutions and own it with a high degree of automation in the cloud
• Provide technical leadership to a small squad of engineers
• Own complex tasks in the backlog and deliver them routinely with no significant issues
• Lead in the development of M&S standard data frameworks and policies, ensuring that they are understood and adopted
• 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