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Data Engineer (Python)

1 month, 1 week ago
Germany
Full-time
Mid Level
Data Engineer
Software Development
Kafka Kubernetes PostgreSQL Python SQL Trino
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Orcrist Technologies

Orcrist Technologies

Orcrist Technologies specializes in providing advanced technology solutions, including data analytics, AI applications, and cybersecurity, aimed at empowering businesses to innovate and transform through the use of artificial intelligence and data-driv...

Internet Software & Services
View All Jobs 17

Description

  • Prototype batch and streaming ingestion and connector patterns using NiFi, Kafka, Kafka Connect/Streams, and CDC approaches.
  • Design schemas and data models that are easy to adopt and support clear semantics and controlled evolution.
  • Build incremental lakehouse datasets using Hudi, Iceberg, or Delta patterns and create queryable outputs for performance and latency evaluation.
  • Incorporate data quality, provenance, metadata, and operability considerations early in prototype development.
  • Containerize and deploy prototypes on Kubernetes and provide minimal runbooks and configuration files to support handoff.
  • Produce adoption artifacts including schemas, reference implementations, technical design notes, and integration backlogs.
  • Generate credible performance and operability readouts for new data initiatives.
  • Collaborate with delivery or foundation teams to enable productization of prototypes.

Requirements

  • 3+ years of data engineering experience, with hands-on pipeline delivery beyond ad hoc scripts.
  • Strong Python and SQL skills for transformations, validation tooling, and pipeline glue code.
  • Practical knowledge of streaming and CDC concepts, including ordering, duplication, replay, and idempotency.
  • Experience with the Kafka ecosystem.
  • Familiarity with lakehouse and storage/query layers such as Hudi, Iceberg, Delta, Trino, Hive, or Postgres.
  • Comfort working in Kubernetes and container-based environments.
  • Ability to document technical decisions clearly.
  • Eligible to work in Germany; EU or NATO citizenship is preferred and export-control screening applies.
  • Experience with Great Expectations or similar data quality tools is preferred.
  • Experience with metadata and lineage platforms such as OpenMetadata, DataHub, or Atlas is preferred.
  • Experience shipping in on-prem or air-gapped environments is preferred.
  • Governance and policy awareness for regulated customers is preferred.
  • German language proficiency at B1+ level is preferred.
  • Experience with OSINT, GEOINT, or multi-INT data shapes is preferred.

Benefits

  • Remote-first work in Germany with regular Berlin prototyping sprints.
  • 30 days of vacation.
  • Equipment and learning budget.
  • Opportunity to work with a modern data stack including Kafka, NiFi, lakehouse technologies, distributed SQL, and Kubernetes.
  • High-leverage work where prototypes become blueprints reused and productized by multiple teams.

Interested in this position?

Apply directly on the company website

Apply Now

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