Data Engineering Lead
About 9fin
9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.
Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.
Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.
We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.
WHAT YOU’LL WORK ON
As our Data Engineering Lead, you’ll own the technical roadmap for our data platform and raise the bar on reliability, scalability, and engineering quality. This is a hands-on, player/coach role.
- Own the Data Platform Roadmap: Set technical direction and deliver the highest-leverage platform improvements across reliability, cost, developer experience, and scale. You’ll choose, prioritise and deliver the next 12 months of platform work.
- Deliver customer-facing APIs & Feeds: Support the design and delivery of API-backed feeds and enrichment pipelines that become product features and revenue streams.
- Level Up Orchestration in Dagster: Build and refine asset-based pipelines, sensors, schedules, backfills, IO managers and monitoring patterns that are robust, idempotent and easy to operate. Define standard patterns for incremental jobs, full refreshes and reverse ETL.
- Make ingestion boring (in the best way): Improve and scale ingestion across Airbyte OSS and DLT: handle schema drift, connector health, rate limits, retries, checkpointing and operatio...