About the role
As an Analytics Engineer, you’ll own the data models and transformations that underpin credit decisioning, pricing, portfolio performance, and investor reporting for our UK and US businesses.
You’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.
You’ll operate with a high degree of ownership, helping shape the modelling layer, improving how analysts work with data, and ensuring our warehouse remains a strategic asset for the business.
What you'll be doing
Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.
Driving the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation.
Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer.
Supporting and mentoring analysts at different technical levels, helping them build stronger engineering habits and become more effective with data.
Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively.
Leading triage and resolution of issues that affect the analytics pipeline or reduce trust in downstream datasets.
Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.
Our modern data stack
You’ll work with a modern analytics stack centred around Snowflake, dbt, and Fivetran.
What we're looking for
We’re looking for someone with strong analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment.
More specifically, we’re looking for:
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.
Strong experience with ELT pipelines and transformation at scale, ideally using dbt.
Experience with Snowflake or another modern cloud data warehouse.
Good judgement in balancing longer-term platform improvements with day-to-day business needs.
The ability to spot inefficiencies in existing data workflows and improve them independently.
A collaborative working style and clear communication across technical and non-technical stakeholders.
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows.
An interest in helping analysts raise their technical bar through support, mentoring, and better shared patterns.
Interview process
Initial call
Onsite or Video Interview lasting 90 minutes, comprising of:
Introduction of the team and kind of work you could be doing daily
Interactive architecture/design exercise
Questions you may have about the company, role, etc.
A 60 minute chat with this role's primary stakeholders
Cultural/behavioural questions
Product mindset and ability to collaborate and communicate
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money.
Founded in 2014
Profitable since 2017
Unicorn in 2021
£3.5bn valuation in 2022
Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan
Loved by customers & employees with top reviews on Glassdoor and Trustpilot
So far, we’ve rebuilt the big three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do. We’re going after the two biggest Western markets (UK and US) where trillions are held by big banks with dated systems and painful processes.
Life at Lendable
The opportunity to scale up one of the world’s most successful fintech companies
Best-in-class compensation, including equity
You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas
Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday
We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance
We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London
Check out our Glassdoor Reviews