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AI Data Catalog Product Engineer

Lily Santos

Full-time · Job · Berlin

About the role

Data teams waste 30% of their time just finding the right dataset. Our data catalog uses AI to automatically profile, tag, and document every table, column, and pipeline in an organization's data ecosystem. The catalog serves 85 enterprise clients with a combined 4 million cataloged assets. We're looking for a product engineer who can bridge the gap between our metadata ingestion backend and the search experience data teams actually use. You'll build connectors for new data sources, improve our automated column-level profiling, and enhance the natural language search that lets analysts ask "where is customer churn data?" instead of browsing a taxonomy tree. The product engineering team is six people. You'll own features end-to-end — from database connector to API to search index — and ship them in 2-3 week cycles. Customer feedback drives the roadmap; you'll read support tickets and join client calls to understand what's broken.

Responsibilities

  • Build connectors for new data sources: databases, warehouses, and streaming platforms
  • Improve automated column profiling and metadata extraction
  • Enhance natural language search over cataloged data assets
  • Design APIs for catalog integration with downstream tools
  • Ship features end-to-end in 2-3 week cycles
  • Engage with customer feedback to inform feature priorities

Requirements

  • 3+ years in data engineering or backend development
  • Strong SQL and Python skills with experience building data connectors
  • Familiarity with data warehouses: Snowflake, BigQuery, or Redshift
  • Understanding of metadata management and data governance concepts
  • Experience with search technologies or NLP for information retrieval

Benefits

  • Fully remote across EU time zones
  • 30 days PTO plus local holidays
  • €2,000 home office budget
  • Quarterly hackathon weeks
  • Stock options with standard vesting

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$100k – $130k / year

AI Expertise

data science & analytics MLOps & AI Infrastructure

Skills

python sql spark airflow aws fastapi

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