Firmable is the market-leading B2B sales intelligence platform in Asia pacific — and we're scaling that success globally at pace. Backed by leading investors and growing 2,000+ customers solid, we exist to give sales teams an unfair advantage: the deepest company and people data of any platform, enriched with real-time signals, served at the right moment by intelligent agents.
We're not building another search box. We're building the engine that tells a salesperson exactly who to call, why, and what to say — before they even ask.
The Role
This role sits at the heart of what makes Firmable's data valuable. As Senior Data Engineer - Sourcing, you'll own the harder extraction and ETL problems — the sites that fight back, the schemas that drift, the LLM pipelines that need to run as production systems, not parsing scripts.
You'll spend your time deep in Python, Airflow, and LLM extraction pipelines — architecting extractors that survive anti-bot defences and schema changes, building the eval scaffolding that holds LLM-based extraction accountable, and shipping ETL systems where rules,



LLMs, and humans each do what they're best at. You'll treat LLMs as production infrastructure — versioned prompts, eval sets, traces, cost ceilings — not as a way to skip writing a parser.
This role is hands-on engineering with sharp judgement on extraction architecture. You decide when to write a parser, when to ask an LLM, and when to do both.
What You'll Own
Extractor Architecture & Web Collection at Scale
Architect resilient extractors for high-value, high-difficulty sources — sites with anti-bot defences, JS-heavy rendering, schema drift, or low-quality structure
Design LLM-based structured extraction as production systems — prompts with explicit rubrics, structured outputs, labelled eval sets, measured precision/recall
Make the rule-vs-LLM judgement call on every extractor: deterministic parsing where the structure allows, LLMs where semantic interpretation is genuinely needed — and

📌 Senior Data Engineer (India)
🏢 Firmable
📍 India