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 build the data backbone of the A&I organisation, crafting a dynamic AI‑enabled data foundation that the entire company can rely on.
Hybrid working arrangement: Best of Both – 3 days in the office, 2 days from home.
No relocation or visa assistance is offered for this position.
Closing date: Monday 13th April 2026.
Core Responsibilities
* Build and maintain data pipelines on Databricks, transforming complex, high‑volume, messy data into clean, reliable, business‑ready data.
* Develop and optimise the semantic layer – build metric view pipelines, materialisation and performance optimisation for analysts, data scientists and commercial teams.
* Ensure data quality and engineering best practice – implement CI/CD pipelines, assertion checks, data quality frameworks, cost/performance optimisation and thorough testing before production rollout.
* Drive platform governance and data accessibility – own Unity Catalog governance, schemas, access controls and metadata tagging to keep data discoverable and compliant.
* Enable AI‑ready data products – build the data foundation for AI models and tools, collaborating with data scientists, analysts and digital product teams to provide structured, fit‑for‑downstream AI data.
Do You Have What It Takes
* Advanced SQL – comfortable working with large, complex, structured and unstructured datasets.
* Data pipeline and transformation expertise with Databricks and experience building, testing and maintaining robust pipelines at scale.
* CI/CD and engineering best practice – confident with Git, CI/CD workflows and thorough testing.
* Ability to navigate complexity and influence without authority – translate technical trade‑offs to non‑technical audiences, including senior leadership.
* AI & platform curiosity – understand building data products for AI consumption and curiosity about leveraging AI.
* Fluency in English, written and verbal.
Benefits
* Family Care Leave – enhanced paid leave options.
* Insurances – life and disability insurance.
* Wellbeing – resources and benefits to support physical and mental wellbeing and community building.
* Colleague Discount – generous discounts from day 1.
* Bonus scheme – reward when goals are reached and eligibility criteria met.
* Workplace flexibility – hybrid policy with average 3 days in office per week.
Equal Opportunity Statement
The LEGO Group is fully committed to equal employment opportunity and equal pay and encourages applicants from all backgrounds (sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply. 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.
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