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8 дней назад

Senior Software Engineer (m/f/d) 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

Текст:
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TL;DR
Senior Software Engineer (m/f/d) Data (Python/Go, Data Engineering): Building production data products, pipelines, services, and modeled datasets for media and advertising domains with an accent on backend engineering rigor, data trust, and cloud-native systems. Focus on designing evolving schemas and data contracts, operating reliable end-to-end systems, tuning performance and costs, and mentoring engineers across experience levels.

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

  • Build, test, deploy, and operate production data products, pipelines, services, and modeled datasets.
  • Apply backend engineering practices, including clean code, APIs, automated testing, observability, and operational ownership.
  • Design schemas, data contracts, and domain models that support safe evolution, late data, and real business requirements.
  • Build data quality checks, lineage, freshness monitoring, documentation, and clear ownership.
  • Partner with product, engineering, data science, analysts, and other stakeholders to deliver reliable data products.
  • Optimize systems for reliability, performance, and cost efficiency while mentoring junior and mid-level engineers.

Requirements

  • Senior-level experience delivering and operating backend systems, data products, APIs, services, or pipelines end-to-end in a cloud environment.
  • Strong Python skills and experience writing clean, tested, and maintainable software; ability to quickly learn Go.
  • Strong software engineering fundamentals and sound judgment around APIs, schemas, data contracts, ownership boundaries, and compute costs.
  • Experience or transferable expertise in data modeling, schema evolution, incremental and idempotent processing, and late data handling.
  • Ability to treat quality checks, lineage, freshness, observability, and documentation as production deliverables.
  • Degree in computer science, engineering, or a related field, or equivalent expertise demonstrated through experience and impact.

Nice to have

  • Experience with cloud data platforms, lakehouse platforms, and high-throughput processing.
  • Background as a senior backend engineer moving into data engineering or as a data engineer with substantial backend experience.

Culture & Benefits

  • Permanent full-time or part-time employment in a modern Berlin office.
  • Flexible working hours and 30 days of vacation.
  • Up to 10 days of working from abroad.
  • Training, learning lunches, tech conferences, and a workshop budget.
  • Free breakfast snacks and lunch in the canteens.
  • Choice of office equipment, including equipment for a remote workspace, plus modern office facilities.

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