Senior Data Engineer - Customer Data Science
AI in this role
Design and maintain robust data pipelines and Airflow orchestration to support customer data science workflows and MLOps.
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
How we rate this
Senior Data Engineer - Customer Data Science at Marks & Spencer rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where mlops was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Data Engineering, Mlops, Data Pipelines, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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