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7 дней назад

Senior Software Engineer (Data)

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

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TL;DR
Senior Software Engineer (Data) (Go/Python/AWS): Building and operating production services, pipelines, and modeled datasets for media and advertising products with an accent on data contracts, reliable processing, and cloud delivery. Focus on designing evolving domain models, implementing data quality and observability, and improving reliability, performance, and cost efficiency in production.

Location: Berlin, Germany; 80% office presence and 20% mobile working

Company

hirify.global is a digital publisher and media technology company building technology for digital journalism, media, and advertising.

What you will do

  • Drive data engineering projects from problem definition and solution design through implementation, testing, deployment, and ongoing operation.
  • Build production services, pipelines, and data products using Go and Python, with clear interfaces, automated tests, and strong observability.
  • Design schemas, data contracts, and domain models that safely evolve and handle late-arriving data.
  • Implement data quality checks, lineage, freshness monitoring, and clear ownership.
  • Operate and improve systems through incident response, reliability work, performance optimization, and cost efficiency improvements.
  • Collaborate with product, engineering, analytics, and data science partners while mentoring engineers through reviews and documentation.

Requirements

  • Senior-level experience delivering and operating production systems in a cloud environment.
  • Production experience with Go or another statically typed language, plus solid Python skills.
  • Strong software engineering fundamentals, including maintainable code, automated testing, API design, and observability.
  • Experience owning projects from problem definition through production and making practical trade-offs around reliability, performance, and cost.
  • Experience with data modeling and reliable data processing, or strong transferable backend engineering skills.
  • Clear communication, effective collaboration, and experience supporting the development of other engineers.

Nice to have

  • Experience with AWS or Palantir Foundry.
  • Experience building recommendation services, working with lakehouse platforms, or handling high-throughput processing.

Culture & Benefits

  • Flexible working hours and a hybrid work model with 80% office presence and 20% mobile working.
  • 30 days of vacation plus 10 days of working from abroad.
  • Training, learning lunches, conference participation, and a workshop budget.
  • Free breakfast snacks and lunch in the canteens.
  • Choice of office equipment, including equipment for the remote workspace, with modern office facilities.

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