At a Glance
- Tasks: Lead technical direction and tackle complex data modelling challenges.
- Company: Join Zopa, a pioneering bank redefining finance with a people-first approach.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Embrace diversity and enjoy a collaborative culture with global opportunities.
- Why this job: Make a real impact in a dynamic environment while mentoring others.
- Qualifications: Experience in analytics engineering, strong SQL skills, and a passion for problem-solving.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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.
Senior Analytics Engineer employer: Zopa
Zopa is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to take ownership of their roles in shaping data privacy strategies. With a strong focus on professional development, team members benefit from growth opportunities and the chance to work alongside industry experts in a vibrant London setting. The hybrid work model enhances work-life balance, making Zopa a rewarding place for those seeking meaningful employment in the field of data privacy.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Zopa on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by diving deep into Zopa's mission and values. Think about how your skills as a Senior Analytics Engineer can help them redefine finance. Show them you’re not just another candidate, but someone who truly gets what they’re about.
✨Tip Number 3
Practice your problem-solving skills! Zopa loves candidates who can think critically and tackle complex challenges. Try out some real-world data problems or case studies to showcase your analytical prowess during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Zopa team.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data and analytics shine through. We want to see how you connect with our mission at Zopa and how you can contribute to transforming finance with your skills.
Tailor Your Experience:Make sure to highlight your relevant experience in analytics engineering, especially with SQL and dbt models. We love seeing how your past roles align with the responsibilities of the Senior Analytics Engineer position, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and how they relate to the role. We appreciate a well-structured application that makes it easy for us to see your potential.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the Zopa team!
How to prepare for a job interview at Zopa
✨Know Your Stuff
Make sure you brush up on your SQL and dbt skills. Be ready to discuss your experience with building production-grade models and how you've tackled complex modelling challenges in the past. Zopa values technical expertise, so showcasing your knowledge will definitely set you apart.
✨Understand the Business
Familiarise yourself with Zopa's mission and how the Analytics Engineering team fits into the bigger picture. Think about how your role can contribute to transforming data into actionable insights for various teams. Showing that you understand their business needs will demonstrate your alignment with their goals.
✨Be a Problem Solver
Prepare to discuss specific examples where you've broken down complex problems into scalable solutions. Zopa is looking for someone who thrives in ambiguity, so share instances where you've made decisions without all the information. This will highlight your critical thinking and problem-solving skills.
✨Show Your Mentoring Side
Since mentoring is a key part of the role, think of ways you've helped others improve their skills in the past. Be ready to talk about how you've raised standards within your team or organisation. This will show that you're not just a technical expert but also a team player who values collaboration.
