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- Tasks: Lead a team of Analytics Engineers to optimise our data platform and deliver impactful data solutions.
- Company: Join Capital on Tap, a fintech helping small businesses thrive with innovative credit solutions.
- Benefits: Enjoy perks like private healthcare, 28 days holiday, and a dog-friendly office with fun amenities.
- Why this job: Make a real impact in a fast-growing company while fostering innovation and collaboration.
- Qualifications: Proven leadership in analytics engineering, strong SQL skills, and experience with modern data tools required.
- Other info: Hybrid role based in Shoreditch; we value diversity and inclusivity in our workplace.
The predicted salary is between 48000 - 84000 £ per year.
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
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).
Lead Analytics Engineer employer: Capital on Tap
Contact Detail:
Capital on Tap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineer
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Snowflake, dbt, and Looker. Having hands-on experience or even a solid understanding of these platforms will help you stand out during discussions.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed teams in the past. Be ready to discuss your approach to mentoring and developing team members, as this is a key aspect of the role.
✨Tip Number 3
Research Capital on Tap's mission and values thoroughly. Understanding their commitment to helping small businesses will allow you to align your answers with their goals and demonstrate your enthusiasm for the role.
✨Tip Number 4
Prepare to discuss your experience with data quality and governance. Be ready to share specific examples of how you've ensured data accuracy and consistency in previous roles, as this is crucial for the Lead Analytics Engineer position.
We think you need these skills to ace Lead Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics engineering, team leadership, and the specific tools mentioned in the job description, such as Snowflake, dbt, and Looker. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for helping small businesses and how your skills align with Capital on Tap's mission. Mention specific projects or achievements that demonstrate your ability to lead a team and deliver high-quality data solutions.
Showcase Your Leadership Experience: Highlight your experience in leading teams, particularly in analytics or data engineering. Provide examples of how you've mentored team members, managed projects, and communicated effectively with stakeholders at various levels.
Prepare for Technical Questions: Be ready to discuss your technical expertise in SQL, data modelling, and the tools listed in the job description. Prepare examples of past projects where you implemented data quality measures or improved processes, as these will likely come up during interviews.
How to prepare for a job interview at Capital on Tap
✨Showcase Your Leadership Skills
As a Lead Analytics Engineer, you'll be expected to lead a team. Be prepared to discuss your previous leadership experiences, how you manage teams, and the strategies you use to mentor and develop your team members.
✨Demonstrate Technical Expertise
Familiarise yourself with the tools mentioned in the job description, such as Snowflake, dbt, and Looker. Be ready to discuss specific projects where you've used these technologies and how they contributed to successful outcomes.
✨Communicate Clearly
Strong communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with both technical and non-technical stakeholders across the company.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and strategic mindset. Think of examples where you've had to balance business priorities with technical improvements, and be ready to share how you approached those challenges.
