M
Moneyboxapp6mo ago

Senior Analytics Engineer

London · (london)Full Timesenior
Data ScienceAnalytics EngineerData & AI
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Quick Summary

Overview

About Moneybox Moneybox is the award-winning app that helps you turn your money into something greater. We’ve brought saving, investing, home-buying,

Technical Tools
Data ScienceAnalytics EngineerData & AI
 
About Moneybox
 
Moneybox is the award-winning app that helps you turn your money into something greater. We’ve brought saving, investing, home-buying, and retirement services all together into one simple app, so it’s easier than ever to achieve your goals and build wealth, whatever your starting point. 
 
Job Brief
 
The Data and Insights team span everything from analytics engineering to reporting, insight analysis, decisioning, data science and machine learning. Helping everyone at Moneybox to understand what our customers are doing, how they are interacting with the app, which products they are using and what is important to them - this team ensures that we are equipped to deliver on our mission to help customers.
  • Design, build and maintain our automated data systems, to create analysis-ready datasets and sources of truth
  • Architect and develop our data outputs at increasing scale, taking ownership over datasets and processes
  • Collaborate with analysts and the wider business to understand their needs, and to define, design and ship new analytics features
  • Help maintain code quality and organisation
  • Promote the benefits of analytics engineering practices among the wider Insight Team
  • Continuously look for ways to improve how we do Analytics Engineering at Moneybox
  • Genuinely interested in Moneybox and the services we offer
  • Excited about being part of a fast growing company that’s trying to make a positive mark on the world by helping everyone to reach their financial goals
  • Excited about using data to answer questions, and particularly interested in the technical side of how to do this at increasing scale
  • Loves to build tools and systems that make your teammates’ jobs easier
  • Somebody who thrives in a fast-paced startup environment
  • Interested in all areas of the business and enjoys hearing about what other team members are working on
  • Genuine interest in financial technology
  • Constantly looking to improve in all areas that you can affect
  • 3-5+ years experience in an analytics engineering (or similar) role within a mature data team
  • Experience handling large data sets (billions of rows) and optimising performance of data transformations
  • Experience delivering insight to stakeholders directly or significant experience working closely with data analysts
  • Experience with SQL (ideally within a modern data platform e.g. Databricks, Snowflake, BigQuery)
  • Experience with automating data processes
  • Experience with dbt (Cloud or Core)
  • Experience with Python
  • Familiarity with delivering data for use in BI platforms
  • Experience with Git for writing, storing and collaborating on production level code
  • Financial Services industry experience 
  • Experience with semantic modelling
  • Experience with the principles of modelling data warehouses (Gold, Silver, Bronze table structure, Kimball modelling etc)
  • Experience working in a medium/large data team (20+)
  • Applied knowledge of analytics engineering best practices and methodologies
  • Experience with dbt Core
  • Experience building and maintaining testing and deployment pipelines for data warehouses
  • Experience with Azure Databricks
  • Experience with PySpark
  • Experience with streaming data transformation
  • Experience collaborating with ML engineers
  • Opportunity to join a fast-growing, award-winning and super ambitious company
  • Work with a friendly team of highly motivated individuals
  • Be in an environment where you are listened to and can actually have an impact
  • Thriving collaborative and inclusive company culture
  • Company pension scheme
  • Hybrid working environment (2 days in our London office)
  • Home office furniture allowance
  • Personal Annual Learning and Development budget
  • Private Medical Insurance
  • Health Cash Plan (cashback on visits to the dentist & opticians etc)
  • Cycle to work scheme
  • Gympass subscription to a variety of gyms and wellbeing apps
  • Enhanced parental pay & leave
  • 25 days holiday + bank holidays with additional days added with length of service.
    •  
    Our office is in London, by the Oxo Tower

    Listing Details

    Posted
    October 17, 2025
    First seen
    March 26, 2026
    Last seen
    April 22, 2026

    Posting Health

    Days active
    27
    Repost count
    0
    Trust Level
    25%
    Scored at
    April 22, 2026

    Signal breakdown

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