Analytics Engineer (UK Cards)

Lendable Ltd; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Equity

Health insurance

Office lunches

Job summary

Lendable is seeking an Analytics Engineer for the UK Cards team in London, on a hybrid basis. You will build and optimize data models that support lending decisions, pricing, and investor reporting, while collaborating with analysts and product teams to ensure data reliability and scalability.

You'll shape the analytics foundation, improve data quality, and drive efficient transformations using modern tools like dbt, Snowflake, and Fivetran.

Qualifications

• Strong DBT and SQL fundamentals.
• Solid data modelling skills for reliable analytics datasets.
• Experience with ELT pipelines and transformation at scale.
• Experience with Snowflake or another cloud data warehouse.
• Collaborative cross-functional teamwork with stakeholders.

Responsibilities

• Build and improve data models for lending decisions, pricing, portfolio analysis, and investor reporting.
• Champion analytics engineering standards and culture.
• Collaborate with analysts to translate requirements into robust pipelines.
• Triage issues affecting analytics pipelines and improve reliability and cost.

Skills

DBT

SQL

Data modelling

ELT pipelines

Snowflake

Cloud data warehouse

Stakeholder collaboration

AI tooling

Tools

dbt

Snowflake

Fivetran

Job description

# Analytics Engineer (UK Cards)* London* Full Time (Permanent)* Hybrid* Auto UK EngineeringApply for this role## About the roleWe're looking for an analytics engineer to contribute to the analytical foundation of the UK Cards team, a growing area of the business.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 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.## What you'll be doing* 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.## Our modern data stackYou’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.## What we're looking forWe’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.* Strong DBT and SQL is a must* 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## Interview process1. 15 minute cognitive assessment2. Initial chat3. 30 minute chat with hiring manager4. 60 minute technical interview5. 60 minute culture interviewPlease note that unfortunately we're unable to sponsor for this positionApply for this role## About LendableLendable 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* Backed by **Balderton, Goldman Sachs** and **Ontario Teachers' Pension Plan*** **Loved** by customers & employees with top reviews on Glassdoor and TrustpilotSo 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