Summary

As part of the M&S Data Engineering team, you’ll be joining a well-loved historic brand, working on solutions that serves millions of loyal customers and thousands of colleagues! With ethical values that run right through the company’s core and technology leaders that truly understand data engineers and engineering, it’s an exciting time as we’re redefining ourselves into a digital first and data-led organisation, with the quality of our data engineering team being a key differentiator.

We are seeking a passionate Senior Data Engineer to support the delivery of our data transformation. Working within a squad of data engineers, you will work with partners from across the business to implement the data strategy, delivering value to the organisation and achieving our goal of democratising data. You will be an advocate for our industry leading BEAM Cloud Data Platform. As an equal partner with the Product and Delivery teams you will deliver sophisticated and robust solutions to solve complicated problems for our customers and colleagues.

You will play a key role in driving our ambition to create a best-in-class data engineering team, environment, and culture. We are looking for people to join our community of engineers to drive this transformation, build a modern data platform using exciting technologies and do the best work of their careers.

To stay close to customers, our support teams are in the office three days a week as we believe that skills are developed through collaboration, and that spending time together makes us more creative and connected.

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

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/ML engineers to produce clean, quality code through code reviews and pair programming. Design, develop, and maintain scalable data/ML pipelines that adhere to ETL principles and business goals. Drive solution through experimentation and innovation. Work with the data architect to build the core data model for the organisation both from an operational and analytical perspective. 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. Solve problems collaboratively, communicating decisions to customers. Approach, contribute and help lead product planning and roadmap with an agile mentality. Engage with product colleagues to improve value for the customer and to understand ambiguous requirements. Promote technology, innovation, values, and ways of working within the team and wider community. Active participation and contribution to technical forums with a focus on positive momentum. Coach, mentor, and develop by providing the knowledge and assets to less experienced engineers. Help lead initiatives to take M&S Data/ML Engineering to the next level by challenging the status quo.

Who you are

Extensive proven experience in cloud-based data technologies and data warehousing design principles, preferably Azure. Sophisticated understanding of design/building end-to-end data/ML solutions. Solid experience with ETL tools, Databricks, SQL. Articulable knowledge with schema design and dimensional data modelling, automation processes and version control tools. Demonstrable experience in building end-to-end ML systems and ML Lifecyle (Feature engineering, monitoring, testing, deployment). Solid experience in ML and AI concepts. Solid experience with Python/SQL/Spark. Proven expertise with distributed version controls systems like GitHub. Good knowledge of Continuous integration and Continuous Delivery. Proficiency of documenting solution design technical decisions and recommendations. Excellent written and verbal communication skills.

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.

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