Analytics Engineer transforming data into actionable insights for Moonpig Group's platform. Collaborating across departments to drive data-driven decisions with data transformation and engineering skills.
Responsibilities
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.
Requirements
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.
Bonus points if you also have:
Experience with Metaplane or similar data monitoring tools.
Familiarity with git for version control.
Exposure to orchestration and ingestion tools such as Fivetran or Dagster.
Understanding of data visualisation tools such as Tableau.
💆🏽 Wellbeing First: Private healthcare (UK), mental health support & dog-friendly offices (London & NL).
🏖️ Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working.
📈 Career Growth: Learning allowances, coaching & development programs.
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