Job Description
hackajob is collaborating with Lendable to connect them with exceptional professionals for this role.
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About Lendable
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Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:
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One of the UK’s newest unicorns with a team of just over 700 people
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Among the fastest-growing tech companies in the UK
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Profitable since 2017
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Backed by top investors including Balderton Capital and Goldman Sachs
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Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)
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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.
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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 worth of financial products are held by big banks with dated systems and painful processes.
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Join us if you want to
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Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
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Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
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Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
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About the role
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We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.
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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.
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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.
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You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.
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What you'll be doing
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Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.
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Championing standards and contributing to the improvement of our analytics engineering culture.
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Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines
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Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.
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Our modern data stack
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You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.
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What we're looking for
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We’re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.
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More specifically, we’re looking for:
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Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.
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Strong experience with ELT pipelines and transformation at scale, ideally using dbt.
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Experience with Snowflake or another modern cloud data warehouse.
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Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.
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A collaborative working style and clear communication across technical and non-technical stakeholders.
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Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows
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Interview process
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Initial call with an engineer
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15 minute Cognitive Assessment
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Onsite or Video Interview lasting 90 minutes, comprising of:
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Introduction of the team and kind of work you could be doing daily
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Interactive architecture/design exercise
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Questions you may have about the company, role, etc.
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A 60 minute chat with this role's primary stakeholders
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Cultural/behavioural questions
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Product mindset and ability to collaborate and communicate
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Life at Lendable
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Winning team: the opportunity to scale up one of the world’s most successful fintech companies
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Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
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Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
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Health coverage: support for your physical and mental wellbeing, including private health cover
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Retirement & savings: long-term financial wellbeing through retirement savings plans
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Employee referral programme: earn a competitive bonus when you refer successful new team members
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Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
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Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations
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Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
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