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Data Quality Engineer

Ryan Ashford

Full-time · Mid-level · Berlin

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About the role

Bad data costs us decisions. We need a data quality engineer to build the checks, alerts, and processes that keep our data warehouse reliable. You will work closely with data engineering and analytics teams.

Responsibilities

  • Design and implement automated data quality checks across our warehouse
  • Build alerting pipelines for anomaly detection
  • Document data contracts between teams
  • Investigate and triage data incidents
  • Partner with engineers to fix root causes of data issues

Requirements

  • Experience implementing data quality frameworks (Great Expectations, dbt tests, Monte Carlo, etc.)
  • Strong SQL across warehouse environments
  • Understanding of data pipeline architecture
  • Familiarity with observability and alerting tools
  • Good communication skills — you will work with many teams

Benefits

  • Remote-first
  • Competitive salary
  • Equipment budget
  • Async communication culture
  • 25 days PTO

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Job Type

Full-time

Level

Mid-level

Language

English

Salary Range

$85,000 – $110,000

AI Expertise

data science data science & analytics

Skills

sql python airflow etl snowflake

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