Python Data Engineer - AI FinTech (DBT, SQL) - London / Hybrid

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