Analytics Engineer (Maternity Cover)

Moonpig Group; City of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A technology-focused company in London seeks an Analytics Engineer to join their Data Platform team. You will be integral in shaping data that drives meaningful customer experiences, ensuring data quality and optimizing data transformation pipelines using tools such as SQL, dbt, and Snowflake. This position offers a competitive salary, flexible working arrangements, and a focus on employee well-being and development.

Benefits

Competitive Pay & Bonuses

Private healthcare

Flexible hybrid working

Qualifications

• Exceptional SQL skills for complex data manipulation and analysis.
• High proficiency in dbt, designing and maintaining scalable transformation models.
• Experience with Snowflake or other big data systems.

Responsibilities

• Build, optimise, and maintain data transformation pipelines using dbt and Snowflake.
• Translate business needs into data models that drive insights.
• Ensure data quality and reliability through automated testing.

Skills

SQL

dbt

Python

Snowflake

Data Monitoring

Tools

dbt

Snowflake

Tableau

Git

AWS

Job description

Analytics Engineer (Maternity Cover)

We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles.

We’re looking for an Analytics Engineer to join our Data Platform team, where you’ll play a pivotal role in empowering the business to make smarter, data‑driven decisions that shape meaningful customer experiences. 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.

Key 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

About You

• 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

Our Tech Stack

• Data Stack: Snowflake, dbt, SQL, Python, Fivetran, Dagster, Metaplane, Tableau
• Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway
• Collaboration: GitHub, Jira, Confluence
• Analytics: GA4, GTM, GCP BigQuery

Benefits

• Competitive Pay & Bonuses, generous pension plans & staff discounts
• Private healthcare (UK), mental health support & dog‑friendly offices in London & NL
• Generous holidays, flexible hybrid working (1–3 days in office) & up to 20 days of international working
• Learning allowances, coaching & development programs

Equality, Diversity, and Inclusion

At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that’s our background or how we work best. From flexible hours for working parents to support for neurodiverse colleagues, we’re here to support our people in ways that work for them.

We may use artificial intelligence (AI) tools to support parts of the hiring process. If you have any reasonable adjustment requests throughout the interview process, please let us know.