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About the Role
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.
Responsibilities
- 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.
- 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.
Requirements
- 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.
Skills
- SQL
- Data Modelling
- dbt
- Git
- Fivetran
- Snowflake
- Looker
- Omni
- Tableau
- PowerBI
- AI
- Claude
- GPT
- Github CI/CD
Location
- London
Work Type
- Hybrid (1-2 days per week in office)
Experience Level
- Senior
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. 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!
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.