Analytics Engineering Lead

Join Moonpig Group as a Lead Analytics Engineer, where you'll shape how data is modeled, governed, and consumed across the business. You'll work closely with stakeholders across various departments, define requirements, and deliver scalable data solutions. As a technical leader, you'll set standards, mentor others, and influence the future direction of our data platform. Enjoy a range of benefits, including an attractive annual bonus scheme, interest-free travel loan, private medical insurance, and flexible working opportunities.

• Lead the planning and delivery of analytics engineering initiatives across business domains, aligning work with strategic priorities.
• Own the delivery of scalable data models and datasets, coordinating contributions from other engineers where required.
• Act as a technical leader for analytics engineering, promoting best practices in data modelling, testing, documentation, and governance.
• Advanced SQL expertise, including complex data modelling, transformation, and performance optimisation
• Proven experience working with Snowflake and modern cloud-based data platforms
• Experience operating with autonomy and making decisions in ambiguous environments
• Curiosity for emerging technologies, tools, and best practices within the data ecosystem
• Comfortable working within agile delivery environments
• Experience with DataDog, Dagster, Fivetran, or Tableau would be beneficial but is not essential
• Strong knowledge of Git and collaborative software development practices
• Deep understanding of analytics architecture, data governance, and scalable data design principles
• Experience writing clean, efficient Python code for automation and data processing
• Extensive experience in analytics engineering, data modelling, or related data disciplines, with a proven track record of operating across complex business domains
• Passion for mentoring, coaching, and developing other engineers
• Ability to influence stakeholders and build strong cross-functional relationships
• Strong experience designing and maintaining scalable data models using dbt