Analytics Engineer, Moonpig

• You have exceptional SQL skills for complex data manipulation and analysis
• You’re highly skilled in dbt, designing and maintaining scalable transformation models
• You have experience with Snowflake or other big data systems (e.g., BigQuery)
• You bring working knowledge of Python for automation and data integration
• You thrive in an agile environment, balancing precision with timely delivery
• You’re naturally curious, always seeking to enhance your technical capabilities

Desirable

• We’re looking for an Analytics Engineer to join our Data Platform team at Moonpig Group, where you’ll play a pivotal role in empowering the business to make smarter, data-driven decisions that shape meaningful customer experiences
• You’ll bridge the gap between data engineering and analytics — transforming raw data into clean, reliable, and scalable datasets that power insights, reporting, and experimentation
• Working within our Analytics Engineering team (part of the wider Data function), you’ll collaborate with stakeholders across Product, Marketing, and Engineering to ensure our data foundations drive real business impact
• Build, optimise, and maintain robust data transformation pipelines using dbt and Snowflake
• Translate business needs into well-structured data models that drive insights and decisions
• Ensure data quality, reliability, and accessibility through automated testing, monitoring, and governance
• Partner with BI, Data Science, and Engineering teams to deliver impactful data products
• Govern and optimise the Snowflake data warehouse for performance, security, and cost-efficiency
• Develop automated data tests, monitoring, and alerts using tools like Metaplane
• Maintain clear documentation and promote best practices in analytics engineering
• Evaluate and integrate emerging technologies (e.g., Dagster) to improve efficiency and scalability