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About the Role

As an Analytics Engineer, you will own the data models and transformations underpinning credit decisioning, pricing, portfolio performance, and investor reporting for UK and US businesses. You will collaborate with analysts, product teams, backend engineers, and business stakeholders to enhance data structuring, transformation, and consumption across the company. This role is crucial for building a strong analytical foundation, enabling teams to quickly gain insights while maintaining high standards for data quality, scalability, and maintainability. You will operate with significant ownership, shaping the modelling layer, improving analyst data workflows, and ensuring the data warehouse remains a strategic asset.

Responsibilities

Own and improve data models supporting lending decisions, pricing, portfolio analysis, and investor reporting.
Drive dbt model and transformation layer development, collaborating with analysts and stakeholders to enhance insight generation speed and quality.
Define good modelling patterns, architecture, and implementation standards for the analytics engineering layer.
Support and mentor analysts at various technical levels, fostering stronger engineering habits and data effectiveness.
Bridge communication between analysts, backend engineers, product teams, and the data platform team for effective data generation, modelling, and usage.
Lead triage and resolution of issues affecting the analytics pipeline or reducing trust in downstream datasets.
Identify opportunities to improve the efficiency, reliability, and cost-effectiveness of the transformation pipeline.

Requirements

Strong data modelling skills and understanding of analytical dataset structuring 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 judgment in balancing long-term platform improvements with day-to-day business needs.
Ability to identify and independently improve inefficiencies in existing data workflows.
Collaborative working style and clear communication with technical and non-technical stakeholders.
Comfort using AI tools effectively to enhance analytical and engineering workflows.
Interest in supporting analysts to raise their technical bar through mentoring and shared patterns.

Skills

Snowflake
dbt
Fivetran
Data modelling
ELT pipelines
Data transformation
AI tools

Location

Work Type

Hybrid
Remote

Benefits

Opportunity to scale one of the world’s most successful fintech companies.
Flexible working approach.
Hybrid roles require three days in-office weekly.
Fully remote roles include regular in-person connection opportunities.
Social events and opportunities for connection.
Private health cover for physical and mental wellbeing.
Retirement savings plans.
Competitive employee referral bonus.
Fully stocked kitchen.
Complimentary lunches prepared by in-house chefs on in-office days (at select locations).
Cycle-to-work scheme (at select locations).
Electric vehicle salary sacrifice scheme (at select locations).

About the Company

Lendable aims to build the world's best technology for credit and savings.
Building one of the world’s leading fintech companies.
One of the UK’s newest unicorns with over 700 employees.
Among the fastest-growing tech companies in the UK.
Profitable since 2017.
Backed by top investors including Balderton Capital and Goldman Sachs.
Highly rated by customers with 4.9 on Trustpilot from tens of thousands of reviews.
Rebuilt major consumer finance products: loans, credit cards, and car finance.
Delivers funds to customers in minutes.
Expanding rapidly into UK and US markets, targeting trillions in financial products held by traditional banks.
Employees are trusted to make decisions with material impact from day one.
Works in small teams of exceptional, resourceful people.
Builds in-house technology using new data sources, machine learning, and AI.