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Senior Data Engineer

Global toy manufacturer known for iconic plastic bricks, focused on inspiring children's creativity and development.
Data
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Consumer · E-Commerce · Enterprise SaaS

Description For Senior Data Engineer

Join LEGO Group's Marketing Effectiveness Product Team as a Senior Data Engineer, where you'll be at the forefront of building the future of retail. This role focuses on developing data solutions that power marketing analytics and measurement, including Marketing Mix Modeling (MMM). You'll be responsible for creating and maintaining robust data pipelines and infrastructure that enable machine learning and analytics use cases, while also deploying applications that deliver insights to marketing teams. Working in an autonomous agile product team, you'll collaborate closely with data scientists and marketers to shape how marketing decisions are made. The position offers a perfect blend of technical challenges and business impact, utilizing technologies like AWS, Databricks, Python, and SQL. LEGO Group offers comprehensive benefits including family care leave, insurance coverage, wellbeing resources, and employee discounts. The company maintains a strong commitment to diversity, inclusion, and children's rights, operating in a hybrid work environment with 3 days per week in the London office.

Last updated 10 days ago

Responsibilities For Senior Data Engineer

  • Build and maintain reliable, scalable data pipelines for marketing and media data sources
  • Design and develop data marts to support reporting, modeling and analytics use cases
  • Lead collaboration with data scientists and marketers to define and implement data requirements
  • Build and maintain infrastructure for the deployment of simple applications
  • Contribute to data quality, documentation and consistency across datasets
  • Drive best practices for data architecture, modeling and governance

Requirements For Senior Data Engineer

Python
  • Extensive experience in data engineering, analytics engineering or related field
  • Extensive experience working with data modeling and transformation workflows
  • Experience developing on AWS and Databricks
  • Experience with infrastructure as code
  • Excellent communication and collaboration skills
  • Experience with Git, code reviews, CI/CD and testing
  • Proficiency in SQL, Python, and PySpark
  • Deep understanding of data modeling concepts
  • Basic experience with frontend technologies

Benefits For Senior Data Engineer

Medical Insurance
Parental Leave
Vision Insurance
Dental Insurance
  • Family Care Leave
  • Life and Disability Insurance
  • Wellbeing Resources and Benefits
  • Employee Discount on LEGO Products
  • Bonus Scheme
  • Hybrid Work Policy (3 days per week in office)

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