At a Glance
- Tasks: Lead the design and optimisation of our modern data platform while mentoring junior engineers.
- Company: Join a fast-growing financial platform dedicated to empowering small businesses.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on continuous learning and technical excellence.
- Why this job: Make a real impact by shaping how data drives business decisions and innovation.
- Qualifications: Experience in data engineering and a passion for mentoring others.
The predicted salary is between 80000 - 100000 £ per year.
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 such as 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 such as Git Hub 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 optimisations.
Our Values
