Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€70к-85к/год
€26к€41кмедиана€41к
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Высокая зарплата, доля в компании и работа с промышленными данными большого масштаба делают эту позицию перспективной для джуниора, хотя высокие требования к самостоятельности и работа из офиса подойдут не всем.
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Высокая ответственностьСовременный стекЗарплата выше рынкаДанные большого масштаба
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Junior Data Engineer (Python/SQL): Building and shipping production data pipelines, Python services, APIs, and data quality systems for a marketing platform serving more than 95 million users with an accent on near-real-time and batch processing, database reliability, and warehouse performance. Focus on designing scalable ingestion and storage flows, solving undefined data problems, and keeping hundreds of terabytes reliable and cost-efficient.
Location: Berlin, Germany — on-site
Salary: €70,000–€85,000 per year, plus equity and bonus
Company
hirify.global is building a marketing platform that rewards more than 95 million users for engaging with advertisers’ products.
What you will do
Build and ship production data pipelines from ingestion to storage across near-real-time and batch workloads.
Develop Python services and APIs used by other teams and products.
Work with operational databases, including schema design, reliability, and performance under production load.
Build tests, monitoring, and data quality checks.
Help keep a data warehouse containing hundreds of terabytes fast, reliable, and cost-efficient.
Own undefined data problems from initial idea through production delivery.
Requirements
Strong Python and SQL skills.
Evidence of engineering depth through a computer science or related degree, internships, open-source work, a thesis, or a self-built system kept in operation.
Hands-on experience with a database such as PostgreSQL or MongoDB, including schemas and indexes.
Ability to start independently on ambiguous problems and take ownership beyond the initial request.
Strong focus on reliability, rigorous debugging, and understanding root causes.
Ability to use AI tools productively while verifying their output.
Nice to have
Kafka or Pub/Sub experience.
Experience with dbt, Docker, or Terraform.
Competition results or a project built and hardened independently.
Culture & Benefits
Small engineering team with a high ownership standard.
Real production problems and responsibility from the first week.
Equity for every Berlin employee.
Top-of-market baseline compensation with additional rewards for exceptional impact.
Clear growth path and evaluation of all skill levels during the hiring process.
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