Founding Software Engineer

• Proven experience owning data pipelines from ingestion to delivery
• Shipped AI agents or LLMs in production
• Background in fintech, market intelligence, or financial data (e.g. Revolut, MSCI, Monzo, Bloomberg) working with raw, unstructured data at scale
• Strong Python for production systems (async, queues, scraping, pipelines)
• Hands-on with Postgres or SQLite for structured storage and querying

If you want serious ownership, care about ESG and sustainable finance, and want to build data infrastructure that actually moves the needle, this should be an exciting prospect for you.

Salary up to £200k + Equity London Onsite

Join a lean (under 10), early-stage startup building sustainable, environmentally-focused financial services. The focus of the solution is understanding where capital flows, and the data behind those decisions needs to be accurate, traceable, and built with care. This is a true end-to-end data focused role. You'll own data wrangling from ingestion through to delivery, no hand-offs, no downstream dumping. Full responsibility, real impact.

The company is profitable and revenue focused, with clients that include the likes of, JP Morgan, Goldman Sachs and some of the biggest Fund & Asset management companies.

What you'll do

• Build and own data pipelines end-to-end, turning 100k+ unstructured PDFs into living, constantly updating datasets
• Make core architecture decisions around reliability, scale, formats, and data quality
• Ship AI agents and LLM-powered workflows (document extraction, multi-agent pipelines, orchestration) into production
• Treat data as a product, the outputs inform decisions worth millions, so quality really matters

Everyone automates yesterday's work so they can tackle harder problems tomorrow. That's not a side-effect of being early-stage, it's the business model.