Senior Data Engineer - Customer Data Science

We are seeking an experienced Full Stack Data Engineer to work alongside our Customer Data Science team designing, building and maintaining robust, scalable data solutions that enable advanced decision making across the organisation. This data engineering role will be focused on enabling data scientists to work effectively through reliable data foundations, well-orchestrated workflows and collaborative delivery. The role spans the full stack of data product development - from data ingestion, transformation and orchestration through to APIs, event-driven architectures, Databricks applications and user-facing solutions. Working closely with data scientists, product and delivery partners, you will engage with a wide range of business and technical challenges, bringing strong technical ownership, proactive problem-solving and a clear focus on sustainable engineering practices. Due to high interest, this role may close earlier than advertised. We recommend applying as soon as possible, All the details 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