Lead Engineer - Personalisation and Recommendation Engine
Lead Engineer - Personalisation and Recommendation Engine

Lead Engineer - Personalisation and Recommendation Engine

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead engineering for a machine learning-powered personalisation product at LEGO.
  • Company: Join the LEGO Group, a leader in creativity and play, committed to children's rights.
  • Benefits: Enjoy flexible work options, generous discounts, wellbeing resources, and bonus opportunities.
  • Why this job: Make a real impact by shaping personalised experiences for LEGO shoppers while mentoring others.
  • Qualifications: Expertise in data engineering, cloud platforms, and strong leadership skills required.
  • Other info: Applications are reviewed continuously, so apply early to secure your chance!

The predicted salary is between 48000 - 84000 £ per year.

Lead Engineer – Personalisation and Recommendation Engine page is loaded

Lead Engineer – Personalisation and Recommendation Engine

Apply locations London time type Full time posted on Posted Yesterday job requisition id 0000023689

Job Description

We are looking for a Lead Engineer to join our Personalisation and Recommendations team!

Are you skilled at bringing together technical experts in to work toward a shared technical vision in a data driven domain? Are you motivated to lead engineering on a machine learning powered product to deliver personalisation at scale for the LEGO Group?

If that sounds like you … join us!

No relocation assistance is offered for this position.

Core Responsibilities

  • Shape the technical architecture for the personalisation domain, balancing current needs with long-term product and technical direction.

  • Partner cross-functionally with the competency lead, product manager, and senior data scientists to shape requirements and translate them into actionable engineering plans.

  • Collaborate closely across teams to align on architecture, technical approaches, and shared goals ensuring consistency and cohesion in delivery.

  • Lead the design and development of scalable, reusable solutions for some of our most complex and high-impact challenges.

  • Be a trusted sparring partner to engineers and data scientists – reviewing designs, guiding code quality, and influencing key technical decisions.

  • Mentor and empower engineers across your area, helping them grow through sponsorship, feedback, and knowledge sharing.

Play your part in our team succeeding

We are building an omnichannel personalisation engine to bring increasingly personalised experiences to LEGO Shoppers in an exciting, relevant, and ethical way. This team consists of data scientists, data engineers and software engineers who collaborate closely to build and serve machine learning recommendation models to power these new experiences at scale across all digital channels.

As our Lead Engineer, your primary focus of driving the technical implementation for your product, whilst also working with other lead engineers to implement consistent technical standards across the organization.

Do you have what it takes?

You lead with curiosity, collaboration, and care. You enjoy taking on sophisticated challenges across subject areas, thrive in multi-functional teams, and communicate ideas clearly – especially through visual tools like architecture diagrams. You\’re motivated by impact, value security and reliability, and help others grow by sharing knowledge and delegating with intent. You champion inclusivity, lead by example, and advocate for engineering excellence while balancing business goals. Furthermore, your skills include:

  • Leading engineering efforts across Data Engineering and Software Engineering

  • Designing and communicating architecture visually (we use the C4 model)

  • People focus – mentoring and upskilling team members is critical for this role

  • Expertise in data engineering – you love data modelling and data lifecycles!

  • Advanced experience with cloud platforms, infrastructure as code (AWS, Terraform, Databricks)

  • Proficiency in SQL and one or more of our core languages, Python 3 / TypeScript; knowledge of core programming principles to adapt to other languages as needed.

  • Leading the team in building resilient, scalable data driven personalisation services end to end

  • Setting up and maintaining robust CI/CD pipelines

  • Running highly available systems exposing data via API with strong observability practices

  • Collaborating effectively across teams

Nice to have

  • ML engineering experience

  • Experience supporting data scientists with tooling, workflows and model optimisation

  • Domain driven design experience

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you\’re interested in this role we encourage you to apply as soon as possible.

What’s in it for you?

Here is what you can expect:

Family Care Leave – We offer enhanced paid leave options for those important times.

Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.

Wellbeing – We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.

Colleague Discount – We know you\’ll love to build, so from day 1 you will qualify for our generous colleague discount.

Bonus – We do our best work to succeed together. When goals are reached and if eligible, you\’ll be rewarded through our bonus scheme.

Workplace – When you join the team you\’ll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeksto encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children’s Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO team today.

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Lead Engineer - Personalisation and Recommendation Engine employer: Lego

The LEGO Group is an exceptional employer that fosters a culture of collaboration, creativity, and inclusivity, making it an ideal place for a Lead Engineer in Personalisation and Recommendation Engine. With a strong focus on employee wellbeing, generous benefits such as enhanced family care leave, life insurance, and a rewarding bonus scheme, we empower our team members to thrive both personally and professionally. Located in a vibrant environment, our hybrid work policy promotes a balanced lifestyle while allowing you to contribute to meaningful projects that inspire curiosity and imagination in children worldwide.
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Contact Detail:

Lego Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Engineer - Personalisation and Recommendation Engine

✨Tip Number 1

Familiarise yourself with the C4 model for visualising architecture, as this is a key aspect of the role. Being able to communicate your ideas clearly through diagrams will set you apart during discussions with the team.

✨Tip Number 2

Showcase your leadership skills by preparing examples of how you've mentored and upskilled team members in previous roles. This will demonstrate your people focus and ability to foster growth within the team.

✨Tip Number 3

Brush up on your knowledge of cloud platforms, particularly AWS and Terraform, as well as CI/CD pipelines. Being well-versed in these areas will help you engage effectively with the technical aspects of the role.

✨Tip Number 4

Prepare to discuss your experience with data modelling and lifecycles, as this is crucial for the position. Highlight any projects where you've successfully implemented data-driven solutions to showcase your expertise.

We think you need these skills to ace Lead Engineer - Personalisation and Recommendation Engine

Technical Architecture Design
Cross-Functional Collaboration
Data Engineering Expertise
Cloud Platforms (AWS, Terraform, Databricks)
SQL Proficiency
Programming in Python 3 and TypeScript
CI/CD Pipeline Management
API Development and Observability
Mentoring and Upskilling Team Members
Visual Communication Skills (C4 Model)
Machine Learning Engineering Experience
Domain Driven Design Experience
Problem-Solving Skills
Leadership and Team Management

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Lead Engineer position. Highlight your experience in leading engineering efforts, particularly in data engineering and software engineering.

Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the job description. Emphasise your expertise in cloud platforms, SQL, and programming languages like Python and TypeScript, as well as your experience with CI/CD pipelines.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for personalisation and recommendation systems. Discuss how your leadership style fosters collaboration and mentorship within teams, and provide examples of how you've successfully tackled complex challenges.

Showcase Your Technical Skills: In your application, include specific examples of your technical achievements, such as designing architecture using the C4 model or implementing resilient data-driven services. This will demonstrate your capability to lead engineering efforts effectively.

How to prepare for a job interview at Lego

✨Understand the Technical Architecture

Familiarise yourself with the C4 model and be prepared to discuss how you would shape the technical architecture for personalisation. Think about how you can balance current needs with long-term goals, and be ready to share your vision.

✨Showcase Your Collaboration Skills

Highlight your experience in cross-functional teams. Be ready to provide examples of how you've partnered with product managers, data scientists, and engineers to translate requirements into actionable plans. Communication is key!

✨Demonstrate Mentorship Experience

Since mentoring is critical for this role, prepare to discuss how you've empowered team members in the past. Share specific instances where your feedback or guidance helped others grow, and how you approach knowledge sharing.

✨Prepare for Technical Questions

Brush up on your data engineering skills, especially around data modelling and lifecycles. Be ready to discuss your experience with cloud platforms like AWS and Terraform, as well as your proficiency in SQL and programming languages like Python and TypeScript.

Lead Engineer - Personalisation and Recommendation Engine
Lego

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  • Lead Engineer - Personalisation and Recommendation Engine

    London
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-08-08

  • L

    Lego

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