Job Description
Python Data Engineer – AI FinTech (DBT, SQL) - London / Hybrid
We’re hiring on behalf of a rapidly growing AI FinTech who are building the next-generation data-driven solutions. This is a brilliant opportunity for a hands-on Python Data Engineer with 2+ years' experience to join a modern, low-firefighting environment focused on clever, high-quality development - not legacy clean-up.
As a core contributor to a greenfield data platform, you’ll work closely with data scientists and engineers to deliver clean, modular, production-grade data pipelines and transformations. Your work will influence how real-time financial data is captured, transformed, and utilised.
Experience:
Python (2+ years experience):
* Strong scripting and implementation skills
* Confident with Pandas
DBT:
* Regular use of DBT in current role (not just setup experience)
* Creating reusable DBT modules
SQL:
* Comfortable writing, optimizing, and deploying SQL through DBT models
Nice-to-Haves:
* Snowflake experience (ideal but not essential — platform skills can be learned)
* Exposure to Airflow for orchestration
Would Love to See:
* A Computer Science degree or similar technical background
* Active GitHub profile showcasing personal or collaborative projects
* Passion for tech and data beyond the 9-5 (side projects, contributions, or personal innovations)
Why Join?
* Greenfield Development: No tangled legacy mess - help shape a clean, smart system from the ground up
* Modern Stack: Snowflake, DBT, Python, Airflow - no tech debt weighing you down
* Low-Firefighting Environment: Spend your time building, not fixing
* Quality Over Volume: Small but impactful data - live, intelligent, and real-time