Job Opportunities API

We’re Capital on Tap 👋 💳 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. 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!  📍 London | 🏢 Hybrid (1-2 days per week in office) Data Platform Team 🚀 Located in our growing Data Platform team, Senior Analytics Engineers play a leadership role in how data moves around the business. You will be responsible for leading the design, maintenance, and optimisation of our modern data platform, ensuring high-quality, documented data serves as a strategic asset for the entire company. What You’ll Be Doing 🗃️ Own the global data stack including Fivetran, Snowflake, dbt, and Omni. Create and maintain well-designed data marts through organised and tested dbt models. Use frontier AI models (Claude, GPT) in tools like Claude Code and Cursor, plus our internal Snowflake MCP, to accelerate development, and help shape how the business adopts data and AI tooling. Assemble large, complex data sets that meet specific business requirements. Implement internal process improvements like Github CI/CD and automation. Partner with stakeholders across Executive, Risk, Commercial, Finance and Engineering teams. Senior Responsibilities 👑 Mentor and coach junior and mid-level engineers, fostering a culture of technical excellence and continuous learning. Take full architectural ownership of the Data Platform, ensuring scalable and robust designs. Exert strategic influence across the business to align data initiatives with long-term company goals. Define and implement global data modelling standards and best practices across the organization. Contribute to the long-term technical roadmap, identifying future technologies and process optimizations. Our Values & Culture 🌞 Just Pilot: We never settle for “good enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly. Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage. Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard. Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done. Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback. We’re Looking For 🔎 Expert SQL skills and knowledge of data modelling (e.g., Kimball). Hands-on experience with dbt and Git for building SQL-based pipelines. Experience with ELT tools (Fivetran) and cloud data warehouses (Snowflake). Familiarity developing within BI tools like Looker, Omni, Tableau, or PowerBI. Strong analytical skills with a customer-centric approach toward Data Analysts. Excellent interpersonal skills to translate technical concepts for stakeholders. Proven track record of mentoring junior engineers and leading cross-functional technical initiatives. Advanced system design and data warehousing skills, with the ability to architect complex, multi-layered data environments. Interview Process 🤝 First stage:  30 minute intro and values call with Talent Partner (Video call). Second stage:  45 minute CV overview with Hiring Manager (Video call).