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AI Metadata Catalog Enrichment Engineer

Harper Adeyemi

Full-time · Job · Berlin

About the role

Our data catalog has thousands of tables with no description, no owner, and no lineage. Analysts waste hours guessing what a column means before they trust it. You'll build enrichment pipelines that auto-generate table and column descriptions from query patterns and schema metadata, then route uncertain cases to data owners for review. We don't care where you work from. We care about output, clear communication, and ownership of the catalog's data quality over time.

Responsibilities

  • Build metadata enrichment pipelines for the internal data catalog
  • Route low-confidence descriptions to data owners for review
  • Track catalog completeness metrics over time

Requirements

  • Experience with sql and data cataloging tools
  • Familiarity with airflow for pipeline orchestration
  • Comfortable working async across time zones

Benefits

  • Fully remote, async-first culture
  • Flexible hours
  • Health and dental insurance
  • Annual learning stipend

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Categories

data science & analytics MLOps & AI Infrastructure

Skills

python sql airflow snowflake aws

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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 airflow snowflake aws

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