Data Engineer, Python

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🕒 February 25

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Orcrist Technologies GmbH

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

🏛️ Government

Artificial Intelligence • Enterprise • Government

Orcrist Technologies GmbH is a company that builds intelligence-fusion and decision-support solutions for complex environments, combining advanced analytics and AI to help organizations turn uncertainty into strategic advantage. The firm emphasizes enterprise and government-focused offerings, positioning itself as a provider of AI-driven operational intelligence and precision decision tools for public sector and large-organization use cases.

📋 Description

• Rapidly validate new data initiatives end-to-end—without sacrificing adoptability. • Prototype representative connectors and pipelines (batch + streaming). • Generate credible performance/operability readouts. • Ship a handoff package that Foundation or a delivery team can productize. • Design “prototype-grade but adoptable” schemas and data models with clear semantics and evolution discipline. • Build incremental lakehouse datasets (Hudi/Iceberg/Delta patterns) and produce queryable outputs for realistic latency/throughput evaluation. • Bake in data quality and provenance mindset early (checks, metadata hooks, operability basics). • Containerize and deploy prototypes on Kubernetes; deliver minimal runbooks/configs that make adoption straightforward. • Produce adoption artifacts: schemas, reference implementations, technical design notes, and an integration backlog.

🎯 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.

🏖️ Benefits

• 30 days vacation • Equipment & learning budget • Remote-first in Germany