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3 месяца назад

Data Engineer (Postgres)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (Postgres): Building and maintaining data infrastructure for flight testing and acoustic sensor development with an accent on SQL, Postgres, data pipelines, and real-world sensor data. Focus on structuring large field-collected datasets, ensuring data quality, and creating actionable insights for hardware and ML teams.

Location: Onsite in Munich, Germany. EU work authorization required.

Company

hirify.global is a Munich-based defense technology startup developing fully autonomous Counter-UAS systems for modern airspace security.

What you will do

  • Design, build, and maintain databases and data pipelines for acoustic device parameters and flight test data.
  • Structure and manage large volumes of sensor and flight test data collected in the field.
  • Develop tools and processes that make test data accessible across hardware, ML, and flight test teams.
  • Transform raw flight test results into structured datasets and actionable insights.
  • Collaborate with flight test and ML engineers to maintain data quality and completeness from collection through analysis.

Requirements

  • Strong proficiency with SQL and Postgres.
  • Experience designing data pipelines and data infrastructure.
  • Experience working with sensor, test, or field-collected data.
  • Ability to structure and clean large, messy real-world datasets.
  • Strong collaboration skills across hardware, flight test, and ML teams.
  • EU work authorization required.

Nice to have

  • Experience with acoustic or sensor data.
  • Background supporting flight test or hardware test programs.
  • Experience with ML data pipelines, including labeling and dataset versioning.

Culture & Benefits

  • Competitive cash compensation and virtual stock options based on experience and contribution.
  • Fast-paced environment with meaningful responsibility and accelerated learning.
  • Opportunity to contribute directly to the development of autonomous airspace security technology.

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