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About the Role

The Data Platform team is responsible for designing, building, maintaining, and optimizing modern data platforms and infrastructure. The goal is to ensure seamless access to high-quality, reliable, and performant data from ingestion through to consumption. This involves key projects in data pipeline development, platform management, model training and deployment, data quality assurance, and customized data tooling.

Responsibilities

• Design, build, and maintain scalable and resilient data pipelines and infrastructure, using Python for custom data transformations, API integrations, and orchestration.
• Implement and manage data platforms leveraging Kubernetes for efficient deployment, orchestration, and scaling of data services and applications.
• 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.
• Build CI/CD pipelines using GitHub for automated testing, deployment, and version control.
• Collaborate with stakeholders across Engineering, Data Science, and Analytics Engineering to gather requirements and deliver high-impact data solutions.
• Ensure data quality, reliability, and observability across the platform through robust monitoring, alerting, and testing frameworks.

Requirements

• Proven experience as a Data Engineer, designing, building, and maintaining scalable data platforms and pipelines.
• Deep experience with Snowflake, including advanced features like dynamic data masking, row-level security, data backups, and ELT tools.
• Strong Python skills for data engineering, scripting, and automation.
• Strong SQL performance, with a solid understanding of data warehousing concepts.
• Demonstrated experience with GitHub, CI/CD, and collaborative development.
• Strong stakeholder management and communication skills, comfortable working with technical and non-technical colleagues.
• Experience in Kubernetes, Datadog, and ML model deployments are great to have.

Skills

• Python
• Kubernetes
• Snowflake
• SQL
• GitHub
• CI/CD
• Data Warehousing
• Data Pipeline Development
• API Integration
• Orchestration
• Data Quality Assurance
• Monitoring
• Alerting
• Testing Frameworks
• Datadog
• ML Model Deployment

Location

• London

Work Type

• 2 days per week in office
• Hybrid

Benefits

• Private Healthcare including dental and opticians services through Vitality
• Worldwide travel insurance through Vitality
• Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
• Salary Sacrifice Pension Scheme up to 7% match
• Octopus EV Salary Sacrifice Scheme
• 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 our offices

About the Company

• 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. 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.
• 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!

Equal Opportunity

• 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.