What you'll do
Your key accountabilities will include
Design, build and maintain robust, scalable data pipelines that support data science workflows and advanced analytics use cases
Develop and manage complex Airflow orchestration, ensuring pipelines are reliable, observable and maintainable
Work hands-on with Databricks suite to deliver high-quality data engineering solutions for data science teams
Contribute to collaborative development through GitHub, code reviews and shared engineering standards
Work effectively in feature-led environments, supporting repeatable, controlled and high-quality delivery
Who you are
Your skills and experience will include
- Strong data engineering experience, with the ability to work independently, take ownership, and be accountable for delivery outcomes
- Experience supporting data science workflows and partnering closely with data scientists to enable successful delivery.
- Clear and effective communicator who collaborates well across teams and contributes positively to shared outcomes.
Proactive problem solver who focuses on root-cause analysis, resolution, and the identification of practical, effective solutions.
Adaptable, curious, and committed to continuous learning in changing environments, with desirable exposure to MLOps concepts and tooling and an understanding of how data engineering supports data science delivery.
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.
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
Skills Required
- Strong data engineering experience with ownership and accountability for delivery outcomes
- Experience supporting data science workflows and partnering with data scientists
- Develop and manage complex Airflow orchestration ensuring reliable, observable pipelines
- Hands-on experience with Databricks suite to deliver data engineering solutions
- Collaborative development using GitHub, code reviews and shared engineering standards
- Clear and effective communicator who collaborates across teams
- Proactive problem solver focused on root-cause analysis and practical solutions
- Exposure to MLOps concepts and tooling and understanding of how data engineering supports data science
What We Do
At M&S, we're dedicated to being the most trusted retailer, prioritising quality and delivering value. Every day, we bring the magic of M&S to our customers, whenever, wherever and however they want to shop with us. For over a century, we've set the standard, doing the right thing and embracing innovation. Today, with over 65,000 colleagues serving 32 million customers globally, we're putting quality products at the heart of everything we do. Tomorrow holds boundless opportunities with us. We're pioneering digital innovation and shaping the future of retail where our values drive every action. We stay close to customers and colleagues, always curious and connected. Our decisions are bold, our actions ambitious. Transparency is paramount, with straightforward, honest communication. We're constantly innovating, always striving for the best. Our focus is on aiming higher and winning together, combined with wise financial decisions to secure our future. Join us at M&S to shape the future of retail.
