Moonpig
Cards, Gifts and Flowers, UK
Retail • eCommerce • Internet • Printing • Greeting cards
201 - 500
Data Engineer
August 24
🔄 Hybrid – London
Moonpig
Cards, Gifts and Flowers, UK
Retail • eCommerce • Internet • Printing • Greeting cards
201 - 500
Description
• Design, build, and maintain data pipelines to ingest, transform, and load data from a variety of sources into our data warehouse • Optimise, maintain and troubleshoot these pipelines to ensure consistent and quality data is up to date and available • Collaborate closely with BI and insights teams to understand their data requirements and deliver analytical data sets that support reporting and insights • Develop and optimise data models tailored for analytical queries and reporting • Ensure the quality, performance, and security of our data infrastructure • Adhere to best practices concerning security and infrastructure • Create and maintain relevant documentation • Collaborate with other engineering teams to build and deploy data-driven products and features
Requirements
• 5+ years of experience in data engineering • Proven experience in designing and implementing data models that support business intelligence and analytics needs. • Experience with BI tools such as PowerBI for developing analytical reports and dashboards. • Knowledge of the data analysis lifecycle, including data collection, cleaning, transformation, analysis, and visualisation. • Examples of conducting data analysis, identifying patterns, generating insights, and creating reports or dashboards. • Strong experience with SQL, ETL / ELT Tools such as FiveTran and DBT • Experience with cloud computing platforms (Azure) is a plus • Experience with data warehousing such as SQL Server and Snowflake • Confident interacting with Databases and web APIs and processing data • Good understanding of relational databases and data modelling best practices • Awareness of data governance and security • Excellent problem-solving and analytical skills • Strong communication and collaboration skills • Background in an analytical role is advantageous
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