Data Engineer
Job Description
<div class="content-intro"><p><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"><strong>We’re Capital on Tap 👋<br></strong></span><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">💳 Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that.</span></p> <p><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier. </span></p> <p><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We’ve done a pretty good job so far, but we’re just getting started! </span></p></div><p><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">📍 London | 🏢 2 days per week in office</span></p> <p><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"><strong>Data Engineering Team 🚀</strong></span></p> <p><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">The Data Platform team is responsible for designing, building, maintaining, and optimising our modern data platforms and infrastructure. Our main goal is to ensure the organisation has seamless access to high-quality, reliable, and performant data, from ingestion through to consumption by various teams. We work on key projects involving data pipeline development, platform management, model training and deployment, data quality assurance and customised data tooling.</span></p> <p><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"><strong>What You'll Be Doing 🗃️</strong></span></p> <ul> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">Design, build, and maintain scalable and resilient data pipelines and infrastructure, using Python for custom data transformations, API integrations, and orchestration.</span></li> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">Implement and manage data platforms leveraging Kubernetes for efficient deployment, orchestration, and scaling of data services and applications.</span></li> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">Own the flow and security of data in our Snowflake data warehouse, ensuring optimal data delivery architecture and availability for global business operations and data science work.</span></li> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">Build CI/CD pipelines using GitHub for automated testing, deployment, and version control.</span></li> <li style="font-family: verdana, geneva, sans-serif; font-size: 12pt;"><span style="font-family: verdana, geneva, sans-serif; font-size: 12pt;">Collaborate with stakeholders across Engineering, Data Science, and Analytics Engineering to gather requirements and deliver high-impact data solutions.</span></li> <l