Lead Analytics Engineer

Capital on Tap; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

Join a leading fintech company as a Lead Analytics Engineer, where you'll lead a team in optimizing a modern data platform. This hybrid role offers the chance to collaborate across departments, ensuring high-quality data access while enjoying great perks and a supportive work environment.

Benefits

Private Healthcare

Worldwide Travel Insurance

Anniversary Rewards

Salary Sacrifice Pension Scheme

28 Days Holiday

Annual Learning and Wellbeing Budget

Enhanced Parental Leave

Cycle to Work Scheme

Season Ticket Loan

Free Drinks and Snacks

Qualifications

• Proven experience leading a team of data or analytics engineers.
• Expert SQL skills and solid understanding of data modeling.
• Hands-on experience with dbt and cloud data warehouses.

Responsibilities

• Lead and mentor a team of 3 Analytics Engineers.
• Own the analytics engineering roadmap and deliver projects.
• Champion data quality and governance across regions.

Skills

Leadership

Stakeholder Management

SQL

Data Quality

Data Governance

Tools

Snowflake

dbt

Looker

Fivetran

Monte Carlo

Job description

We’re Capital on Tap
Capital on Tap was founded with the mission to help small business owners and make their lives easier. Today, we provide an all-in-one business credit card & spend management platform that helps business owners save time and money. Capital on Tap proudly serves over 200,000 businesses across the world, and our goal is to help 1 million small businesses by 2030.

Why Join Us?
We empower you to be innovative and solve complex problems. Take ownership, make an impact, and thrive in our scaling and agile environment.

This is a hybrid role; the Data Platform team works from our London (Shoreditch) offices 1-2 days per week.

What You’ll Be Doing
As a Lead Analytics Engineer in our growing Data Platform team, you’ll lead a team of 3 Analytics Engineers responsible for building, maintaining, and optimizing our modern data platform. You’ll ensure the organization has seamless access to high-quality, tested, observable, and well-documented data.

This is a hands-on leadership role that balances deep technical work with people and project management. You’ll work with tools like Snowflake, dbt, Looker, Fivetran, and Monte Carlo, collaborating with teams across the business, from Finance and Credit to Engineering and the Executive team. You’ll also take full ownership of the team’s roadmap, strategy, and delivery.

• Lead and mentor a team of 3 high-performing Analytics Engineers, providing line management, regular 1:1s, feedback, and development support.
• Own the analytics engineering roadmap, prioritizing and delivering projects aligned with wider business objectives.
• Collaborate with stakeholders across the company (including Finance, Credit, Commercial, Fincrime, and Engineering) to gather requirements and deliver high-impact data solutions.
• Act as the team’s main point of contact, clearly communicating plans, progress, challenges, and timelines.
• Manage and evolve the modern data stack, including Fivetran, Snowflake, dbt, Looker, and Monte Carlo (for data observability).
• Design and maintain scalable dbt models and self-serve data tools (such as Looker) that empower analysts, data scientists, and non-technical users to access and explore high-quality data.
• Champion data quality and governance, ensuring data is accurate, consistent, observable, and well-tested across regions.
• Implement internal process improvements, including CI/CD, code reviews, observability alerts, and automation of manual workflows.
• Proven experience leading a team of data or analytics engineers, including at least 2 years of direct line management and mentoring.
• Strong stakeholder management and communication skills—confident working with technical and non-technical colleagues at all levels.
• A strategic mindset with experience defining and delivering against a team roadmap, balancing business priorities with technical improvements and paying down tech debt.
• Expert SQL skills and a solid understanding of data modeling approaches (e.g., Kimball).
• Hands-on experience with dbt, including working on large or complex dbt projects.
• Experience with cloud data warehouses (e.g., Snowflake) and ELT tools (e.g., Fivetran).
• Experience with data observability tools (e.g., Monte Carlo).
• Experience with BI tools (e.g., Looker, Mode, Tableau), including enabling self-serve access for non-technical users.
• A strong focus on data quality, testing, observability, and performance.
• A track record of delivering clean, documented, and production-grade data assets to support analysis and decision-making.

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 equipped 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
• 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.

Excited to work here? Apply!
If you’d like to progress your career within our fast-growing, profitable fintech, click apply. We aim to respond within 3 working days (up to 5 during busy periods).

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