Moneybox

Analytics Engineer

Moneybox

full-time

Posted on:

Location Type: Hybrid

Location: London • 🇬🇧 United Kingdom

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Job Level

JuniorMid-Level

Tech Stack

BigQueryCloudPythonSQL

About the role

  • Design, build and maintain our automated data transformations, to create analysis-ready datasets and sources of truth
  • Architect and develop our data outputs at increasing scale, taking ownership over multiple data catalogs
  • 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

Requirements

  • 2-3 years experience in analytics engineering handling large data sets, delivering insight to stakeholders, 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
  • Familiarity with dbt (Cloud or Core)
  • Understanding of Python
  • Familiarity with delivering data to Power BI, or another modern BI platform
Benefits
  • Opportunity to join a fast-growing, award-winning and super ambitious startup
  • 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 shares
  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
analytics engineeringSQLdata automationdbtPythondata transformationdata catalogingdata analysisdata deliveryBI platforms
Soft skills
collaborationcommunicationcode quality maintenanceorganizational skillsstakeholder engagement