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2 дня назад

Senior Data Engineer

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 Data Engineer (Python/Go): Building and operating reliable data products, pipelines, transforms, and models for media and advertising domains with an accent on data quality, schema evolution, and cloud-native engineering. Focus on designing resilient processing for late and messy data, improving pipeline reliability and efficiency, and mentoring data engineers across seniority levels.

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

Company

hirify.global is a digital publisher and media technology company headquartered in Berlin, operating brands including BILD, POLITICO Germany, WELT, and BUSINESS INSIDER Germany.

What you will do

  • Own data products end-to-end, from building pipelines to incident response and reliability improvements.
  • Build, test, and maintain data transforms and services using a Python-first, cloud-native stack with parts in Go.
  • Implement data-quality checks, lineage, and freshness to support reliable data consumption.
  • Design schemas and data models that handle late and messy data and reflect business requirements.
  • Collaborate with analysts, data scientists, software engineers, and product managers on data contracts and interfaces.
  • Mentor junior and mid-level data engineers and reduce operational toil through pipeline optimization.

Requirements

  • Senior-level experience delivering and operating data products or backend systems end-to-end in a cloud environment.
  • Strong Python skills and the ability to write clean, tested, and maintainable code; willingness to pick up Go or other tools.
  • Deep knowledge of data modeling, schema evolution, incremental and idempotent processing, and late or dirty data handling.
  • Experience applying data-quality checks, lineage, and freshness practices to real data products.
  • Strong judgment on technical trade-offs, effective communication with non-engineers, and an ownership mindset.
  • Experience mentoring data engineers at different seniority levels; a degree in computer science, engineering, or a related field is valued.

Culture & Benefits

  • Flexible working hours supporting work-life balance.
  • 30 days of vacation plus 10 days of working from abroad.
  • Training, learning lunches, tech conferences, and a workshop budget.
  • Free breakfast snacks and lunch in the company canteens.
  • Choice of office and remote-work equipment, modern hardware, software, and office spaces.
  • Permanent full-time or part-time employment in a modern Berlin office.

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