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Data Engineer (AI)

Layla Suzuki

Contract · Job · Berlin

About the role

We serve over 200 enterprise clients who depend on our compliance monitoring platform staying accurate in real time. Our data engineering team is small, distributed across five countries, and fully async — we don't care where you work from, we care about output, clear communication, and ownership. The product ingests regulatory filings and policy changes through Kafka streams, transforms them with Spark, and lands them in Snowflake for downstream compliance checks. We expect you to keep those pipelines reliable and to speak up early when something looks off.

Responsibilities

  • Maintain Kafka-based ingestion pipelines for regulatory filing data
  • Build and optimize Spark transformations feeding our Snowflake warehouse
  • Flag pipeline anomalies early and document root causes clearly

Requirements

  • Hands-on experience with Kafka, Spark, and Snowflake in production
  • Comfort working async across time zones with limited real-time overlap
  • Ability to write clear documentation for pipeline changes

Benefits

  • Fully remote, async-first contract engagement
  • Flexible hours across time zones
  • Opportunity to extend into a long-term role

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Job Type

Contract

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

MLOps & AI Infrastructure data science & analytics

Skills

python spark kafka snowflake airflow

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