Analytics Engineer

Lendable

Analytics Engineer focusing on data modeling and pipeline efficiency at a burgeoning fintech in London. Collaborating with cross-functional teams to enhance data reliability and usability.

Posted 7/1/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong data modeling skills and expertise in building and improving ELT pipelines, particularly with dbt and Snowflake. Collaborates effectively with both technical and non-technical stakeholders to enhance data workflows and analytics engineering culture.

Highest-signal resume keywords

Data ModelingELT PipelinesDbtSnowflakeCollaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingELT PipelinesTransformationAnalytics EngineeringData Structure

Soft Skills

Clear CommunicationProactivenessCollaboration

Tools & Technologies

DbtSnowflakeAI Tools

Industry Keywords

Lending DecisionsPortfolio AnalysisInvestor ReportingAnalytics PipelineDownstream Datasets

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.
Championing standards and contributing to the improvement of our analytics engineering culture.
Supporting and collaborating with analysts at different technical levels, helping translate requirements into robust pipelines
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.

Requirements

What you’ll need

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.
Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.
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

Benefits

Comp & perks

Health coverage: support for your physical and mental wellbeing, including private health cover
Retirement & savings: long-term financial wellbeing through retirement savings plans
Employee referral programme: earn a competitive bonus when you refer successful new team members
Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations