Analytics Engineer London

Overview

Capital on Tap was founded with the mission to help small business owners and make their lives easier. Today, we provide an all-in-one business credit card & spend management platform that helps business owners save time and money. Capital on Tap proudly serves over 200,000 businesses across the world and our goal is to help 1 million small businesses by 2030.

Why Join Us? We empower you to be innovative and solve complex problems. Take ownership, make an impact, and thrive in our scaling and agile environment.

This is a Hybrid role, 2 days per week in our London office.

Analytics Engineer at Capital on Tap

Located in our growing Data Platform team, Analytics Engineers play a central role in how data moves around the business. They are responsible for building, maintaining and optimising our modern data platform from design through to end product. You will be focused on giving seamless access to high quality, tested and documented data throughout the organisation.

What You'll Be Doing

• As an Analytics Engineer you will support end users of our data in all our platforms including Snowflake, dbt, Looker and Azure Devops. Our Data Analysts and Data Scientists will receive optimal data delivery architecture consistently throughout ongoing projects. You are self-directed and comfortable supporting the data needs of multiple teams, systems and products.
• With responsibility for all business side data infrastructure and delivery, this is a "hands-on" position requiring solid technical skills, as well as excellent interpersonal and communication skills.
• We work with Fivetran, Snowflake, dbt and Looker - you will be owning the data stack for our global business
• Own the flow of data through our Cloud Data Warehouse and component parts
• Create and maintain well designed data marts through organised and well tested dbt models
• Build out and own custom data pipelines using Python and the Azure platform
• Assemble large, complex data sets that meet business requirements
• Identify, design, and implement internal process improvements : Github CI / CD, automating manual processes, optimising data delivery etc.
• Work with stakeholders across the business, including the Executive, Risk, Commercial, Fincrime, Finance and Engineering teams to assist with data-related issues
• Keep our data efficient and consistent at a global level, maintaining our warehouse environments over multiple regions
• Create and manage tools for our team of analysts and data scientists that assist them in building and optimising our product
• Familiarity with Python a bonus
• Knowledge of data modelling approaches (e.g. Kimball dimensional modelling)
• Experience with dbt (or similar) and Git for building SQL based pipelines
• Experience with ELT tools and components required (we currently use Fivetran)
• Experience working with a cloud data warehouse (we work with Snowflake)
• Familiarity developing / building within a BI tool (e.g. Looker, Omni, Tableau)
• Strong analytical skills - analysts will be your customer!

Diversity & Inclusion

We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Benefits & Perks

Check out more of our benefits, values and mission here.

Interview Process

Excited to work here? Apply!

If you'd like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.)

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UK DE&I Data

At Capital on Tap we are fully focused on equality and believe deeply in diversity of race, gender, sexual orientation, religion, ethnicity, ability, national origin and all the other characteristics that make us who we are. We want to be a place where a diverse mix of talented people want to come and do their best work and most importantly feel included and that they can be their authentic selves.

In order to remain committed to our goal, we need to analyse and identify where we need to take steps to make positive impact. The first step in this process is gathering anonymous data on our candidates. We would encourage you to help us by filling in the form below.

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