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Analytics Engineer

UK-based fintech company pioneering financial education through money management tools and educational content for kids and families.
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
Finance · Education · Enterprise SaaS

Job Description

GoHenry, a pioneering UK-based fintech company, is seeking an Analytics Engineer to join their Data Platforms team. This role represents an exciting opportunity to make a meaningful impact on financial education for millions of kids and teens across multiple countries.

The company, which has recently expanded through mergers with PixPay and Acorns, serves over 6 million members across 5 countries. As an Analytics Engineer, you'll be at the heart of their data transformation efforts, working with modern ELT approaches and technologies like dbt, Dataform, BigQuery, and Databricks.

The position offers a hybrid working model based in London, with the flexibility to work remotely within the UK. You'll be part of the Global Data Community, collaborating with analysts, scientists, and engineers to transform raw data into actionable intelligence that drives product development and business decisions.

Key aspects of the role include designing and maintaining robust data models, collaborating with cross-functional teams, ensuring data quality, and contributing to the continuous improvement of data practices. The ideal candidate will bring strong data modeling experience, proficiency with transformation tools, and excellent SQL skills.

GoHenry offers an attractive benefits package including 33 days of holiday, flexible working arrangements, comprehensive health benefits, and family-friendly policies. The company has received notable recognition, ranking #38 in Newsweek's Top 100 Most Loved Workplaces in the UK and winning multiple awards for their services.

This role presents an opportunity to join a fast-growing, mission-driven company that's committed to fostering financial literacy in young people. The company maintains a strong commitment to diversity and inclusion, making it an ideal workplace for professionals looking to make a meaningful impact while advancing their career in data engineering.

Last updated 10 hours ago

Responsibilities For Analytics Engineer

  • Design, build, test, deploy, and monitor data models
  • Collaborate with data analysts to build effective models for analysis and reporting
  • Maintain documentation
  • Perform regular maintenance on data warehouses
  • Monitor and improve data quality
  • Respond to data transformation pipeline failures
  • Share knowledge with team members
  • Contribute to continuous improvement of data practices

Requirements For Analytics Engineer

  • Advanced level of data modelling experience in data warehouse environment
  • Experience using data transformation tools like dbt or Dataform
  • Previous experience as a data analyst
  • Engineering mindset with DataOps knowledge
  • Advanced analytical SQL query writing skills
  • Excellent understanding of data warehousing concepts and best practices
  • Fluent in English with excellent communication skills
  • Knowledge of Databricks and BigQuery (desired)

Benefits For Analytics Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
  • 33 days holiday (including public holidays)
  • Workplace pension plan
  • Company events
  • Flexible work arrangement (GoFlex)
  • Birthday day off
  • Induction & onboarding program
  • Bupa Health Cash Plan or Private Medical
  • Death in service - 4x annual salary
  • Physical and Mental Wellbeing support
  • Enhanced maternity leave
  • 4 weeks paternity leave
  • Salary Sacrifice options

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