Tech Lead (Python)

Responsibilities

• Own the architecture of the data lakehouse, including build-vs-buy decisions and technical designs
• Write production Python code for critical data pipelines and infrastructure components using PySpark, Kafka, and NiFi
• Set engineering standards for code quality, testing, observability, and documentation
• Mentor Data Engineers through code reviews, 1:1s, and technical guidance
• Partner with Product to translate requirements into scalable technical solutions
• Design data governance systems for lineage, cataloging, and compliance with government security standards

Requirements

• 6+ years in data engineering
• 2+ years leading technical teams or architecture
• Expert Python (PySpark, pandas) and SQL
• Deep understanding of lakehouse patterns and data modeling
• Experience with streaming (Kafka), batch processing (Spark), and modern table formats (Hudi, Iceberg, or Delta)
• Track record of building and operating large-scale data platforms in production
• Eligible to work in Germany; EU/NATO citizenship preferred

Preferred Qualifications

• German language (B1+)
• Experience with defense/government data environments
• Experience with graph databases or ML infrastructure

Benefits

• Modern stack (Hudi, Ozone, PySpark, Trino, Kafka, Kubernetes)
• Mission-driven impact
• Remote-first in Germany
• Berlin meetups
• 30 days vacation
• Equipment & learning budget

About the Company

Orcrist builds the Orcrist Intelligence Platform (OIP), a secure, Kubernetes-native system that powers open-source intelligence collection and analysis for defense and public safety customers.