Senior Analytics Engineer

Were Capital on Tap
Capital on Tap started because small businesses were underserved. Big banks were slow their products werent fit for purpose and small business owners often couldnt access what they needed. We set out to fix that.

Today were 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.

1000 employees 20bn in annual card spend 200000 customers 17000 Trustpilot reviews averaging 4.7 stars and were profitable. Weve done a pretty good job so far but were 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 Youll 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 its hard.
• Owners and Dates: We dont 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.

Were 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

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 PerksWe 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…