Senior Engineer – Data

Fairground is a B2B GTM data platform. We ingest, enrich, and structure millions of company and contact records and turn them into reliable go-to-market signal inside our products. The pipeline behind that data is the hardest and most valuable engineering problem in the company — and increasingly, it's an AI problem.

Our data pipeline has outgrown the generalist engineers currently keeping it running. We need a senior engineer who lives in the data: someone who can own ingestion, enrichment, matching, and quality at scale — and who reaches for AI/LLMs as a core tool, not a bolt-on. A huge amount of our hardest work (extracting structure from messy data, resolving entities, classifying and enriching records) is now best solved with models, and we need someone fluent enough to build those systems well and cost-effectively.

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  Own large-scale data ingestion — pulling and processing millions of records from web sources and third-party providers, reliably and efficiently

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  Build AI-powered data systems: use LLMs and embeddings for extraction, classification, entity resolution, and enrichment where traditional rules break down

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  Design and own the enrichment layer — stitching data from multiple vendors into a single trusted record (matching logic, dedup)

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  Design and evolve the data models and schemas that represent companies, contacts, and their relationships as we expand into new data domains

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  Own the sync between our warehouse, CRM, and products

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  Build the data quality and feedback loops that catch bad data before customers see it

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  Own the cost and performance of our AI/enrichment infrastructure — model choice, batching, caching, and spend are real engineering decisions here

• 5-8 years of data engineering experience, owning systems end to end

• Strong SQL and Python, and hands-on experience with a modern cloud data warehouse

• Production experience building ingestion/ETL pipelines at scale

You'll own the data layer at a company where data is the entire value proposition — and you'll get to build it on the frontier, using AI to solve problems that were impossible a couple of years ago. High ownership, direct customer impact, fast-moving team.