At a Glance
- Tasks: Lead engineering efforts to create personalised customer experiences using innovative tech.
- Company: Join MARKS&SPENCER, a leader in retail transformation and inclusivity.
- Benefits: Enjoy competitive perks and a supportive work environment.
- Other info: Be part of a dynamic team driving engineering excellence in personalisation.
- Why this job: Shape the future of retail with cutting-edge technology and make a real impact.
- Qualifications: Expertise in Java and Python, plus strong collaboration and communication skills.
The predicted salary is between 80000 - 120000 £ per year.
MARKS&SPENCER is seeking a Principal Engineer to shape our technical direction and deliver personalized customer experiences through innovative technology. As a senior technical leader in the Personalisation product group, you'll drive engineering excellence and design scalable systems for personalization and search.
The role requires expertise in Java and Python, collaboration with data science teams, and strong communication skills. Join us in transforming retail and supporting our commitment to inclusivity while enjoying competitive perks and a supportive work environment.
Lead Principal Engineer, Personalisation & AI employer: MARKS&SPENCER
At MARKS&SPENCER, we pride ourselves on being an excellent employer that fosters a culture of innovation and inclusivity. As a Lead Principal Engineer in our Personalisation & AI team, you'll benefit from competitive perks, a collaborative work environment, and ample opportunities for professional growth, all while playing a pivotal role in transforming the retail experience for our customers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Principal Engineer, Personalisation & AI
✨Tip Number 1
Network like a pro! Reach out to current employees at MARKS&SPENCER on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in Java and Python. This will not only demonstrate your technical prowess but also your passion for personalisation and AI.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on your problem-solving skills and technical knowledge. Mock interviews with friends or using online platforms can help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at MARKS&SPENCER and contributing to their mission.
We think you need these skills to ace Lead Principal Engineer, Personalisation & AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Java and Python, as well as any relevant projects in personalisation and AI. We want to see how your skills align with our mission to deliver personalised customer experiences.
Showcase Collaboration Skills:Since you'll be working closely with data science teams, it's important to demonstrate your ability to collaborate effectively. Include examples of past teamwork and how you’ve contributed to successful projects.
Communicate Clearly:Strong communication skills are key for this role. When writing your application, be clear and concise. We appreciate straightforward language that gets to the point while showcasing your passion for technology and innovation.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at MARKS&SPENCER
✨Know Your Tech Inside Out
Make sure you brush up on your Java and Python skills. Be ready to discuss your past projects and how you've used these languages to solve real-world problems. They’ll want to see your technical depth, so don’t hold back!
✨Showcase Your Collaboration Skills
Since the role involves working closely with data science teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you’ve driven engineering excellence and how you communicated effectively with different teams.
✨Understand Personalisation Trends
Research the latest trends in personalisation and AI within retail. Be prepared to discuss how innovative technology can enhance customer experiences. This shows that you’re not just technically savvy but also aware of the industry landscape.
✨Emphasise Inclusivity and Support
Marks & Spencer values inclusivity, so think about how you can contribute to this culture. Prepare to share your thoughts on creating inclusive tech solutions and how you can support a positive work environment. It’s all about fitting into their ethos!
