Analytics Engineer

Lendable Ltd; Greater London; On-site; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Equity

Hybrid work (2 days in office)

Private health insurance

Job summary

Lendable is seeking an Analytics Engineer in London to join a Python-based analytics and data engineering team. You will transform and model data using SQL and dbt, and build Python-based data workflows to automate processes and optimise daily tasks.

The role sits in a hybrid environment using Snowflake, dbt and Python, and requires collaboration with cross-functional teams to deliver high-quality data products.

Qualifications

• Solid fundamentals in SQL and Python development.
• Experience building and maintaining data pipelines or data-intensive services.
• Collaborative communication across technical and non-technical stakeholders.

Skills

SQL

Python

Data pipelines

ETL

Cross-functional collaboration

Tools

Snowflake

dbt

Job description

# Analytics Engineer* London* Full Time (Permanent)* Hybrid* Credit & DataApply for this role## About the roleWe'd love for you to become a key part of our Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible.This role sits at the intersection of analytics engineering and Python-based data engineering. You’ll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work.No two days look the same here.We're building something great, and we're looking for the right people to grow with us. If that sounds like you, we can't wait to hear from you.## Our Tech StackYou’ll work with a modern data stack centred around Snowflake, dbt and Python.## What we’re looking forWe’re looking for someone with strong technical fundamentals, excellent communication skills, and a genuine interest in building high-quality data products.More specifically, we’re looking for:* Experience working with SQL/Snowflake or other modern data platforms* Strong, modern Python development experience.* Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services* A collaborative working style and clear communication across technical and non-technical stakeholders.* A keen desire to want to learn and input into a highly collaborative team* If you’ve worked in a cross functional environment, it would be a plus but not needed## Interview process* A quick phone call with one of the team* A short coding exercise to complete in your own time* Technical Video Interview for 60 mins* Culture interview for 30mins* Final InterviewApply 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 LondonCheck out our **Glassdoor Reviews**Apply for this role