At a Glance
- Tasks: Lead technical direction and tackle complex modelling challenges in a dynamic environment.
- Company: Join Zopa, a pioneering bank redefining finance with a people-first approach.
- Benefits: Competitive salary, flexible working, and opportunities for continuous learning.
- Other info: Be part of a top-rated workplace with excellent career growth potential.
- Why this job: Make a real impact on data products that empower smarter decisions across the business.
- Qualifications: Proven experience as a Senior Analytics Engineer with strong SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
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
- Thrive in a developing environment where not everything is defined
- Communicate clearly with engineers, product teams and business stakeholders
- Can influence without authority
- Have strong problem‑solving and critical thinking skills
- Be comfortable making decisions in ambiguity
- Enjoy mentoring and raising standards
- Be proactive about identifying and solving structural problems
- Embrace 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
- About 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.
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.
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