Staff Data Engineer at Marks & Spencer

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Data Technologies, Data Warehousing, Azure, ETL, Databricks, SQL, Python, Spark, Technical Leadership, Data Pipeline Design, Automation, Code Review

Industry

Retail

Description

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. What you'll do * 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 Who you are * Demonstrable leadership mentality, business acuity, and big-picture approach * Expertise in cloud-based data technologies and data warehousing design principles, preferably Azure * Expert in design/build of end-to-end data solutions * Demonstrable experience with ETL tools, e.g. Databricks, SQL * Demonstrable experience with Python/SQL/Spark Everyone's welcome We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process. #hybridrole #LI-hybrid #LI-HB1

Responsibilities

Design, build, and maintain high-quality, automated cloud data solutions and scalable pipelines. Provide technical leadership to a squad of engineers and drive the development of standard data frameworks and policies.