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The LEGO Group

Senior Analytics Engineer

Reposted 2 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
As a Senior Analytics Engineer, you'll build and maintain data pipelines, ensure data quality, and support AI data products for The LEGO Group.
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Job Description

Ready to turn messy, high-velocity, high-volume data into a clean, business ready foundation that powers decisions for one of the world's most iconic brands?  

As an Analytics Engineer at The LEGO Group, you will be responsible for building the data backbone of the A&I organisation. Crafting a dynamic AI enabled data foundation the entire company can rely on, empowering the business every minute of every day. 

We're pleased to share that we offer a hybrid working week arrangement called Best of Both, requiring 3 days in the office location and 2 days from home.  

No relocation or visa assistance is offered for this position. 

The closing date for all applications will be Monday 13th April 2026. 

Core Responsibilities 

  • Build & maintain data pipelines. Design, engineer and monitor high-quality data pipelines on Databricks taking complex, high-volume, messy data and making it clean, reliable and business-ready. 

  • Develop and optimise the semantic layer. Build and maintain metric view pipelines, materialisation and performance optimisation so data is fast, efficient and accessible for analysts, data scientists and commercial teams. 

  • Ensure data quality & engineering best practice. Implement CI/CD pipelines, assertion checks, data quality frameworks and cost/performance optimisation, testing thoroughly before any rollout hits production. 

  • Drive platform governance & data accessibility. Own Unity Catalog governance, schemas, access controls, metadata tagging, ensuring data is discoverable and compliant in a highly controlled environment. 

  • Enable AI-ready data products. Build the data foundation that AI models and tools (including agents and genies) can rely on collaborating with data scientists, analysts and digital product teams to make data available, structured and fit for downstream AI use. 

Do you have what it takes 

  • Advanced SQL a must-have. You're comfortable working with large, complex, structured and unstructured datasets and can write high-performance queries without breaking a sweat. 

  • Data pipeline & transformation expertise. Hands-on experience with a leading data modelling or transformation tool (Databricks is the platform here) and a solid understanding of how to build, test and maintain robust data pipelines at scale. 

  • CI/CD & engineering best practice. Confident working with Git and CI/CD workflows, you test in development before you ship, and you care about doing things properly the first time. 

  • Ability to navigate complexity and influence without authority. You can walk into an ambiguous situation, figure out what needs to be done, and bring digital product teams, analysts and stakeholders along with you, translating technical trade-offs clearly to non-technical audiences including senior leadership. 

  • AI & platform curiosity. You don't need to be a data scientist or software engineer, but you understand how to build data products that AI models and tools can consume, and you're genuinely curious about how AI can complement and accelerate your work. 

  • Fluency in English both written and verbal. 

Play your part in our team succeeding 

You'll be joining a pioneering Analytics Engineering team of thirteen in a 100+ strong Commercial A&I team that is ahead of the curve on data transformation at The LEGO Group. It's a fast-paced environment where the work is real, the impact is visible and the team is genuinely building something world-class!

#LI-MD1 

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 seeks to 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.

Top Skills

Ci/Cd
Databricks
Git
SQL

The LEGO Group London, England Office

8 New Fetter Lane, London, United Kingdom, EC4A 1

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