About Eventible Eventible is a B2 B event intelligence platform. We track thousands of business events globally and build structured data around event agendas, sponsors, speakers, exhibitors, topics, and audience signals. That data powers our products, outreach, and internal intelligence systems.
As our data stack grows, we need someone who can help build and run reliable web data pipelines at scale.
Role Overview We are hiring a Data Engineer — Web Data & Automation to build and maintain LLM-assisted web extraction workflows that collect, structure, store, enrich, and clean data from public web sources.
This is a hands-on execution role. The work includes building web scrapers, handling APIs, using browser automation where needed, storing extracted data cleanly, and improving data quality through enrichment, validation, deduplication, and QA.
This is not a marketing operations role, campaign role, or reporting role. It is a build-and-run role for someone comfortable working with web data, automation, and applied AI.




Key Responsibilities Build and maintain web data collection pipelines for public sources such as event websites, sponsor pages, speaker directories, exhibitor lists, agendas, and landing pages
Develop LLM-assisted extraction workflows to pull structured information from messy or inconsistent web pages
Use APIs, scraping tools, and browser automation to collect data reliably across static and energetic websites
Store extracted data in a clean, usable format across databases, spreadsheets, or other internal systems
Enrich and standardise raw data, including company names, job titles, industries, locations, event metadata, and taxonomy mapping
Clean, validate, deduplicate, and QA collected data before it enters downstream workflows
Debug failed jobs, broken selectors, parsing issues, rate limits, and workflow errors
Work with internal stakeholders to improve data coverage, accuracy, and usability
Document workflows, extraction logic, schemas, prompts, and SO

📌 Data engineer (Pune)
🏢 Eventible
📍 Pune