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Lendable is seeking a Python Infrastructure engineer to transform and model data using SQL and dbt, and to build data workflows in Python. You’ll work within a team that pushes data engineering boundaries to enable fast, reliable data products.
You’ll join a collaborative, fast-growing fintech environment, contributing to scalable solutions in a hybrid role with in-office days.
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:
So 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 worth of financial products are held by big banks with dated systems and painful processes.
We'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.
You’ll work with a modern data stack centred around Snowflake, dbt and Python.
We’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:
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
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