Analytics Engineer

Fintech company providing business credit card & spend management platform serving over 200,000 businesses worldwide
Data
Mid-Level Software Engineer
Hybrid
101 - 500 Employees
3+ years of experience
Finance

Description For Analytics Engineer

Capital on Tap is a dynamic fintech company revolutionizing small business financial services through their all-in-one business credit card & spend management platform. As an Analytics Engineer in their Data Platform team, you'll play a crucial role in shaping how data moves through the organization, supporting over 200,000 businesses worldwide. The position offers a hybrid working model from their London (Shoreditch) office, requiring just one day per week in-office presence.

You'll be at the heart of their data infrastructure, working with modern tools like Snowflake, dbt, Looker, and Azure DevOps. The role combines technical expertise with business impact, as you'll be responsible for building and optimizing data pipelines, creating efficient data architectures, and ensuring seamless data access across the organization. You'll collaborate with various teams, from Executive to Engineering, making your work vital to the company's success.

The ideal candidate will bring strong SQL expertise, Python knowledge, and experience with modern data stack tools. You'll work in an environment that values innovation and problem-solving, with the opportunity to make a significant impact on a rapidly scaling platform. The company offers an impressive benefits package, including private healthcare, learning budgets, and flexible working arrangements.

Capital on Tap's mission to help 1 million small businesses by 2030 makes this an exciting opportunity for someone looking to contribute to meaningful financial technology solutions. The company culture emphasizes work-life balance, professional growth, and inclusion, making it an ideal place for talented data professionals to thrive and develop their careers.

Last updated 2 months ago

Responsibilities For Analytics Engineer

  • Build and maintain modern data platform from design to end product
  • Support data platforms including Snowflake, dbt, Looker and Azure DevOps
  • Own the data stack for global business
  • Create and maintain data pipeline architectures
  • Build custom data pipelines using Python and Azure platform
  • Assemble complex data sets meeting business requirements
  • Implement internal process improvements and CI/CD
  • Work with stakeholders across business teams
  • Maintain warehouse environments over multiple regions
  • Create and manage tools for analysts and data scientists

Requirements For Analytics Engineer

Python
  • Expert SQL skills
  • Python knowledge
  • Knowledge of data modelling approaches
  • Experience with dbt and Git for SQL based pipelines
  • Experience with ELT tools (Fivetran)
  • Experience with cloud data warehouse (Snowflake)
  • Familiarity with BI tools (Looker, Mode, Tableau)
  • Strong analytical skills

Benefits For Analytics Engineer

Dental Insurance
Medical Insurance
Vision Insurance
401k
Education Budget
Mental Health Assistance
Parental Leave
Commuter Benefits
  • Private Healthcare including dental and opticians through Vitality
  • Worldwide travel insurance through Vitality
  • Anniversary Rewards (£250, £500, £750, 4-week sabbatical)
  • Salary Sacrifice Pension Scheme up to 7% match
  • 28 days holiday plus bank holidays
  • Annual Learning and Wellbeing Budget
  • Enhanced Parental Leave
  • Cycle to Work Scheme
  • Season Ticket Loan
  • 6 free therapy sessions per year
  • Dog Friendly Offices
  • Free drinks and snacks in offices

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