Senior Analytics Engineer

CompanyZopa Bank

LocationLondon, England, United Kingdom

Posted At3/3/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (42.0%).

Occupation Type

Telecoms and related network installers and repairers

Occupation Code Skill LevelMedium Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

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Description

Our Story

Hello there. We’re Zopa.

We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com !

We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces.

If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife

The Team

The Analytics Engineering team is a key part of the broader Data, Analytics & AI organisation within Technology. Our mission is to transform data into high-quality, trusted, and scalable data products that empower analytics, product, finance, risk, and commercial teams to make smarter decisions for our customers.

We work closely with Data Engineers, Analysts, Data Scientists, ML Engineers and stakeholders across the business. As Zopa continues to align Analytics Engineering to business domains, we are embedding domain ownership, ensuring our data models and semantic layers reflect real-world business boundaries and needs.

The Role

This is a hands-on technical leadership role focused on raising standards, shaping technical direction, and increasing modelling maturity across domains — without formal line management responsibility.

You'll own and deliver the most complex modelling challenges , help to define and evolve best practices for dbt, modelling, governance and cost optimisation. You'll act as a technical authority within analytics engineering, whilst mentoring and enabling others to raise their technical bar. You'll also shape how domain data products are designed, owned, and consumed across Zopa.

What You'll Be Doing

Evolve the technical direction for Analytics Engineering in partnership with the Head of AE
Develop scalable modelling patterns aligned to our data mesh and domain-based ownership approach
Raise engineering standards across testing, CI/CD, documentation, version control and code review
Lead by example in applying data governance and risk standards across all data products
Design and build robust, production-grade, cost-efficient dbt models for high-impact domains
Own modelling strategy for key business areas, ensuring consistency, maintainability, and scalability

Optimise data marts for performance, reliability and long-term growth

Break down complex domain problems into scalable data products

Evaluate trade-offs between cost, performance, maintainability and delivery speed

Take end-to-end ownership of high-impact modelling initiatives

Partner with product teams and domain owners to translate business needs into clean, well-documented data models

Ensure cross-domain consistency and reusability of shared entities

Advocate for domain ownership and clear data contracts

Simplify overly complex modelling areas and reduce unnecessary warehouse costs

Mentor Analytics Engineers and Analysts, helping them deepen their modelling and engineering expertise

Provide high-quality, empathetic and actionable code reviews

Share knowledge at scale through documentation, technical sessions or playbooks

We're Looking For Someone Who

Thrives in a developing environment where not everything is defined
Communicates clearly with engineers, product teams and business stakeholders
Can influence without authority

Has strong problem-solving and critical thinking skills

Is comfortable making decisions in ambiguity

Enjoys mentoring and raising standards

Is proactive about identifying and solving structural problems

Embraces continuous learning and technological advancement

What You'll Bring

Significant experience as a Senior or Lead Analytics Engineer
Demonstrable experience setting technical standards or shaping modelling practices
Strong expertise in SQL and building production-grade, cost-efficient dbt models
Experience working in modern cloud data environments
Strong understanding of data governance and risk considerations
Experience working cross-functionally in product-led environments
Solid understanding of CI/CD, Git-based workflows, and version-controlled deployments

At Zopa we value flexible ways of working.

We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week.

You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.

Subject to having the right to work in the country of choice

Diversity Statement

Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.