Apply on company website Remote / Berlin Remote (Country)

Orcrist is hiring a Data Engineer (Python)

Requirements

  • 3+ years data engineering experience (level dependent) with real pipeline delivery beyond ad-hoc scripts.
  • Strong Python + SQL; comfortable building transformations, validation tooling, and pipeline glue code.
  • Practical streaming/CDC fundamentals (ordering, duplication, replay, idempotency) and Kafka ecosystem experience.
  • Familiar with lakehouse/storage and query layers (e.g., Hudi/Iceberg/Delta, Trino/Hive/Postgres) and how to make datasets usable.
  • Comfortable working in Kubernetes/container environments and documenting decisions clearly.
  • Eligible to work in Germany; EU/NATO citizenship preferred and export-control screening applies.

Nice to Have

  • Great Expectations or similar data quality tooling; metadata/lineage platforms (OpenMetadata/DataHub/Atlas).
  • Experience shipping in on-prem or air-gapped environments; governance/policy awareness for regulated customers.
  • German language (B1+) and/or experience with OSINT/GEOINT/multi-INT data shapes.

Additional Information

  • Eligible to work in Germany
  • EU/NATO citizenship preferred
  • Export-control screening applies
  • Equipment budget provided
  • Learning budget provided
  • Regular in-person sprints in Berlin
Job Details
Location Remote / Berlin
Work mode Remote (Country)
Category Data & ML
Posted 3 months ago
Application On company website
About company
Orcrist

We are a Berlin-based data defence 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.

Orcrist fuses distributed, unstructured data into actionable intelligence, enabling better decisions, faster responses, and deeper understanding across sectors and silos.

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