Назад
Company hidden
4 дня назад

Senior Data Engineer (Data Platform)

Формат работы
remote (только Germany)
Тип работы
project
Грейд
senior
Английский
b2
Страна
Germany
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 (Data Platform): Designing and maintaining core data platform components, ingestion frameworks, and transformation pipelines with an accent on data reliability and scalability. Focus on modernizing the data ecosystem, optimizing queries, and building end-to-end reactive processing pipelines.

Location: Remote (Germany) or Berlin

Company

hirify.global is a technology-based construction company utilizing prefabricated systems and digitalized processes to build sustainable and affordable residential homes.

What you will do

  • Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and storage layers.
  • Own and improve data reliability through the implementation of monitoring, alerting, SLAs, and data quality checks.
  • Collaborate with domain experts in AI, IoT, and architecture to deliver high-quality datasets.
  • Lead strategic initiatives to modernize and scale the data ecosystem, focusing on schema design and query optimization.
  • Mentor team members to elevate engineering rigor and overall technical capability.

Requirements

  • Experience with programming languages such as Python or Kotlin.
  • Proficiency with databases including Postgres, BigQuery, Spark, and Graph DBs.
  • Hands-on experience with Kubernetes, Docker, Terraform, Dagster, and DBT.
  • Proven track record of building and scaling data-intensive reactive processing pipelines from end-to-end.
  • Strong analytical skills to resolve data discrepancies and create validation/testing frameworks.

Nice to have

  • Knowledge of semantic web technologies (RDF, OWL) and ontology engineering tools like Protege.
  • Experience working with construction industry data or exceptionally large datasets.
  • Background in Data Science, Machine Learning, and AI agents.

Culture & Benefits

  • High level of ownership and autonomy to drive and test your own solutions.
  • Flexible work arrangement: choice between working from home, the office, or other locations.
  • Inclusive environment that actively seeks diversity of thought and background.
  • Financial participation in company success through stock options.
  • Mission-driven culture focused on reinventing the construction industry for sustainability.

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 →