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Lead Analytics Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: 1034 LEGO Company Limited
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

About the role

Are you interested in being a people leader and key contributor in enabling our Markets & Channels organization to understand its commercial impact deeply and expand data transparency to drive data driven decisions that always put the shopper first? Bring your understanding of data platforms together with your leadership skills, retail knowledge and natural curiosity into play in this role to be part of a pioneering data and analytics team bringing digital transformation to life in our commercial areas!

Responsibilities
  • Lead a team of 5 Analytics Engineers & Associate Analytics Engineers, heading up the Analytics Engineering Delivery sub‑team in M&C Analytics Engineering.
  • Collaborate closely with the Analytics Interface, Commercial Analytics and business teams to turn business requirements into an AI‑enabling data product backlog.
  • Partner with the Analytics Innovation & Automation and Data Office Product teams to create and deliver the roadmap for prototyping & delivering cutting‑edge features across the Data Platform; ensure platforms, tools & processes meet business needs.
  • Responsible for the overall delivery of data products across all Commercial pillars; ensuring Data Products follow CI/CD best practice, adhere to data quality frameworks—including assertion checks and performance & cost optimisation—applied.
  • Drive Unity Catalog governance (schemas, access, metadata tagging) to improve data accessibility in a highly controlled compliant environment.
  • Coach the team to enable Markets & Channels specific data understanding and champion data literacy via guidelines, training, drop‑in sessions, documentation and knowledge sharing.
  • Drive the Commercial data availability agenda; collaborating with Shopper & Partner (D2C & B2B) digital product teams to ensure high‑quality data is collected and published to LEGO Data Platform (Databricks) to a standard fit for purpose for downstream delivery of data products.
  • Consistently champion & revise best practices in data product development within the team, across Markets & Channels and with the broader analytics community, helping ensure data integrity, quality and scalability of overall data products on the LEGO Data Platform.

The overall department’s key focus is to enable self‑service data products for Markets & Channels (Commercial) data consumers and decision makers, helping shape data‑driven actions both for operational optimisation purposes and tactical and strategical decision recommendations. The Analytics Engineering delivery team consists of more junior Engineers, requiring more technical coaching and guidance.

This role is essential as we strive to build a world‑class analytics organization, capable of delivering scalable data products, AI‑driven insights and real decision intelligence.

Qualifications
  • Considerable Analytics Engineering, Data Solutions, Data Engineering and/or Data Specialist experience.
  • Proven leadership experience within a technical team or project.
  • Expert skills in SQL and/or Python or similar experience in manipulating large structured and unstructured datasets.
  • Experience working with CI/CD pipelines, Git and knowledge of data transformation and information architecture best practices.
  • Can provide technical context and direction, translating technical constraints / trade‑offs to colleagues within non‑technical roles, including senior leadership.
  • Thorough and detail‑oriented, strong adaptability and focus to deliver results.
  • Strong collaborative personality with a #One Team mindset.
  • Positive can‑do attitude, with natural curiosity and bravery to challenge constructively.
  • Willing to travel 10 days a year.
  • Fluent English skills both verbal and written.
  • Cross‑culture understanding of working with global colleagues and partners across multiple time zones (nice to have).
  • Familiarity with AGILE ways of working.
  • Strong understanding of Commercial Compliance topics such as Competition Law, GDPR and Confidentiality.
Benefits
  • 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…
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