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Tech Lead (Python)

Role overview

Qualifications

  • 6+ years in data engineering with 2+ years leading technical teams or architecture
  • Expert Python (PySpark, pandas) and SQL
  • Experience with streaming (Kafka), batch processing (Spark), and modern table formats (Hudi, Iceberg, or Delta)
  • Eligible to work in Germany; EU/NATO citizenship preferred for export-control work

Responsibilities

  • Own the architecture of our data lakehouse—make build-vs-buy decisions, create technical designs, and lead implementation
  • Write production Python code for critical data pipelines and infrastructure components (PySpark, Kafka, NiFi)
  • Set engineering standards for code quality, testing, observability, and documentation
  • Mentor Data Engineers through code reviews, 1:1s, and technical guidance

Key facts

Other skills

  • Leadership
  • Mentorship
  • Problem Solving
  • Collaboration

About the company

Orcrist Technologies logo

Orcrist Technologies

Defense Technology

Orcrist Technologies offers pioneering AI and data analytics solutions in the private and public sectors, turning sensors into strategy. We are a Berlin-based data defense technology company building AI-powered software for real-time situational awareness and sensor fusion. Our mission is to give decision-makers the clarity they need—when it matters most. Designed for interoperability, speed, and modularity, Orcrist enables NATO and European partners to operate with information dominance in fast-moving, high-threat scenarios.

Company details

IndustryDefense Technology
Company size11 - 50

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Job description

Tech Lead

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.

Role

Lead the technical architecture of our data platform. You'll design and build the lakehouse infrastructure (Hudi, Trino, Kafka, NiFi, PySpark) that powers all downstream AI and analytics products, while mentoring a team of Data Engineers.

What you'll do

  • Own the architecture of our data lakehouse—make build-vs-buy decisions, create technical designs, and lead implementation.
  • Write production Python code for critical data pipelines and infrastructure components (PySpark, Kafka, 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.

About you

  • 6+ years in data engineering with 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 for export-control work.

Nice‑to‑haves

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

What We Offer

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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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