Назад
Company hidden
8 часов назад

Senior Data Engineer (Constellation Services)

77 000 - 96 300
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Netherlands/Germany +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
Senior Data Engineer, Constellation Services (Python/SQL/Cloud Data): Build and evolve enterprise ETL pipelines, self-service data tooling, and monitoring solutions for satellite constellation products with an accent on end-to-end data architecture, geospatial datasets, and data accuracy. Focus on designing scalable pipelines, orchestrating CI/CD workflows, delivering visualizations for decision-making, and solving complex data challenges across space, engineering, product, and commercial teams.

Location: Berlin, Germany; hybrid work with three days per week in the Berlin office

Salary: €77,000–€96,300 gross per year in Germany

Company

hirify.global designs, builds, and operates a large constellation of imaging satellites and delivers satellite data through a cloud-based platform for commercial, environmental, humanitarian, defense, and intelligence applications.

What you will do

  • Design, build, own, maintain, troubleshoot, and improve enterprise ETL pipelines.
  • Develop self-service data tooling, visualizations, and insights for monitoring and evaluating Constellation Services products.
  • Build end-to-end data solutions covering architecture, ingestion, implementation, CI/CD, orchestration, QA, visualization, and communication.
  • Collaborate with Product, Engineering, Space Systems, Commercial, and other cross-functional stakeholders to define the CxS data roadmap.
  • Provide mentorship, technical design feedback, and code reviews across the organization.

Requirements

  • 6+ years of relevant experience and a bachelor's degree in a relevant field.
  • Strong experience designing and implementing end-to-end data architectures and accurate data solutions.
  • Expertise building ETL pipelines with Python and SQL.
  • Experience with modern data stack tools such as Fivetran, dbt, and Looker, Omni, Sigma, or similar.
  • Experience with peer-reviewed code, CI/CD workflows, GitLab CI, Docker, and cloud architectures such as Google Cloud Platform or AWS.
  • Experience with geospatial datasets, event-based data architectures, and cross-functional collaboration.

Nice to have

  • Experience with Pub/Sub, RabbitMQ, or similar messaging services and real-time streaming.
  • Experience with Datadog, Grafana, or equivalent monitoring and observability tools.
  • Knowledge of Earth observation and satellite operations.

Culture & Benefits

  • People-centric culture focused on belonging, inclusion, and collaboration.
  • Paid vacation, holidays, and company-wide days off.
  • Employee wellness program, home office reimbursement, and monthly phone and internet reimbursement.
  • Tuition reimbursement and access to LinkedIn Learning.
  • Equity and paid volunteering time off.

Hiring process

  • Select interviews may be recorded with candidate consent for transcription and summarization.
  • AI tools are prohibited during live interviews and assessments unless explicitly permitted or required as an accommodation.

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 →