Data Ops Engineer - Data Publishing (m/f/d)

Overview

Role involves building data publishing infrastructure and optimizing data processes.

Ideal candidate should have experience in ETL processes and data automation using Python.

Locations

• Germany, Berlin
• Germany, Hamburg

Requirements

• Experience with ETL and data automation
• Proficiency in workflow orchestration tools
• Good command of SQL

Responsibilities

• Build and maintain data pipelines
• Develop data orchestration workflows
• Monitor and optimize data infrastructure
• Analyze processes for optimization
• Stay updated on AI & Automation

Benefits

• Work from abroad 10 days a year
• Hybrid work and flex-time
• International team and social events
• Career & training opportunities
• Mental health support