Назад
Company hidden
4 дня назад

Data Software Engineer (Earth Observation)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK/Argentina/Spain +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Software Engineer (Earth Observation) (Python/geospatial data): Building scalable ingestion and processing pipelines for satellite and Earth Observation data with an accent on data quality, metadata standards, and reliable production systems. Focus on translating scientific code into production implementations, integrating new data types, and improving processing architecture, monitoring, and performance.

Location: Can be based in any location; hybrid role with locations in Harwell, UK; Athens, Greece; Barcelona, Spain; Porto, Portugal; Tenerife, Spain; and Buenos Aires, Argentina. Candidates must have the legal right to work in their chosen location.

Company

hirify.global provides satellite missions, Earth observation, IoT connectivity, and secure communications using actionable data and connectivity from space.

What you will do

  • Develop and maintain ingestion and processing pipelines for satellite and Earth Observation data.
  • Design scalable, reliable systems for payload data processing, validation, and quality control.
  • Translate scientific and analytical code into efficient, production-ready implementations.
  • Define and enforce data, metadata, and quality standards across datasets.
  • Integrate new data processing techniques and data types into existing workflows.
  • Improve data architecture, scalability, performance, monitoring, and reliability.

Requirements

  • Strong Python skills for building data processing pipelines.
  • Experience working in Linux environments and with data ingestion, transformation, and processing pipelines.
  • Ability to design and manage data structures, formats, and metadata standards.
  • Experience with REST APIs, databases, and PostgreSQL.
  • Understanding of data-driven and event-driven architectures, containerized environments, and orchestration tools such as Kubernetes.
  • Knowledge of satellite imagery, Earth Observation processing concepts, and geospatial tools such as QGIS or ArcGIS.

Culture & Benefits

  • Work on space technology and satellite data products used by customers around the globe.
  • Mission-driven work focused on solving real-world challenges.
  • Diverse, ambitious, and supportive working environment.
  • CV must be submitted in English.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →