Python Analytics Engineer

Overview

In this role, you will contribute to Lendable’s data platform by building reliable data workflows and models. You’ll work at the intersection of analytics engineering and data engineering, transforming data with SQL, dbt, and Python. You’ll help scale data products that inform business decisions as Lendable expands in the UK and US. You’ll join a collaborative, fast-growing team focused on delivering high-impact data solutions and improving fintech products.

Pay / Benefits

• flexible hybrid working
• private health cover
• retirement savings plans
• employee referral programme
• in-office meals and snacks
• cycle-to-work and EV salary sacrifice schemes

Responsibilities

• Transform and model data using SQL and dbt
• Build data workflows and automate processes using Python
• Develop and maintain data pipelines and data-intensive backend services
• Collaborate with technical and non-technical stakeholders to deliver high-quality data products
• Contribute to the evolution of the data platform and tooling to support day-to-day operations

Key requirements

• Experience with SQL/Snowflake or other modern data platforms
• Strong Python development experience
• Experience building and maintaining data pipelines, ETL processes, or data-intensive backends
• Collaborative working style and clear communication across stakeholders
• Desire to learn and contribute in a highly collaborative team
• collaboration
• communication
• proactive learning
• SQL/Snowflake
• Python
• dbt

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