Analytics Engineer

Lendable Ltd

Job Overview

Location

London

Job Type

Full-time

Full Job Description

📋 Description

• Own and improve the data models that underpin credit decisioning, pricing, portfolio performance, and investor reporting for Lendable’s UK and US businesses.
• Drive the development and maintenance of dbt models and the transformation layer to enhance the speed, quality, and reliability of insight generation across analytics teams.
• Define and enforce modelling patterns, architecture standards, and implementation best practices for the analytics engineering layer to ensure scalability and maintainability.
• Collaborate closely with analysts, product teams, backend engineers, and business stakeholders to ensure data is effectively generated, modelled, and consumed across the organization.
• Support and mentor analysts at varying technical levels to improve their data engineering habits, increase their effectiveness with data tools, and raise the overall technical bar of the team.
• Lead triage and resolution of issues affecting the analytics pipeline, ensuring trust and accuracy in downstream datasets used for critical business decisions.
• Identify and implement improvements to increase the efficiency, reliability, and cost-effectiveness of the transformation pipeline over time.
• Act as a bridge between the data platform team, backend engineers, and business analysts to align data infrastructure with evolving business needs.
• Work within a modern data stack centred on Snowflake, dbt, and Fivetran to build and optimize ELT pipelines at scale.
• Apply AI tools effectively to accelerate workflows, improve data quality, and enhance day-to-day analytical and engineering output.
• Balance long-term platform improvements with immediate business priorities, demonstrating strong judgement in resource allocation and technical debt management.
• Proactively spot inefficiencies in existing data workflows and independently drive solutions to eliminate bottlenecks and improve data usability.
• Communicate clearly and collaboratively with both technical and non-technical stakeholders to translate business requirements into robust data models.
• Contribute to building a culture of data excellence by promoting shared patterns, documentation, and knowledge transfer across teams.

🎯 Requirements

• Strong data modelling skills and understanding of analytical dataset design 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 long-term platform improvements with day-to-day business needs
• Ability to identify inefficiencies in data workflows and improve them independently
• Collaborative working style with clear communication across technical and non-technical stakeholders

🏖️ Benefits

• Private health cover for physical and mental wellbeing
• Retirement and savings plans to support long-term financial wellbeing
• Employee referral programme with competitive bonus payouts
• Complimentary lunches and fully stocked kitchen on in-office days at select locations
• Cycle-to-work and electric vehicle salary sacrifice schemes available in select locations
• Flexible working arrangements: hybrid roles require three days in-office weekly; fully remote roles include regular in-person socials and off-sites

Skills & Technologies

Remote

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Lendable Ltd

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About Lendable Ltd

Lendable is a UK-based fintech that operates an online consumer-lending platform using open-banking data and machine-learning underwriting to offer unsecured personal loans and car finance. Founded in 2014 and headquartered in London, it funds loans through an institutional peer-to-peer model, matching investors with borrowers seeking fast, fixed-rate credit. The company automates identity, affordability and risk assessment, providing near-instant decisions and same-day payouts while giving investors access to diversified consumer credit returns. Regulated by the Financial Conduct Authority, Lendable has originated more than £2 billion in loans without maintaining physical branches, focusing on transparent pricing and mobile-first customer experience.

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