How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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
- Profitable
We’ve done a pretty good job so far, but we’re just getting started!
📍 London | 🏢 2 days per week in office
Data Engineering Team 🚀
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.
What You'll Be Doing 🗃️
- 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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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 🔎
- 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.
Interview Process 🤝
- First stage: 30 minute intro and values call with Talent Partner (Video call).
- Second stage: 60 minute CV overview with Head of Data Platform & Team Manager (Video call).
- Final stage: Split into two parts - Part 1: 60 minute technical assessment with 2 members of the Data Engineering team. Part 2: 30 minute chat with the rest of the team (Virtual).
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
Great Work Deserves Great Perks
We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our 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
Check out more of our benefits, values and mission here.
Other Useful Info
- 👍 Check out our 'Top Tips' for interviewing.
- ✔️ Keep updated on new job opportunities by following us on LinkedIn.
- 📧 Email [EMAIL] if you have any questions.
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.)
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location