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2 дня назад

Data Engineer II (AdTech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Germany
Релокация
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
Data Engineer II (AdTech) (ELT/dbt): Building and operating production ELT pipelines and analytical data models for a real-time Ads Data Platform with an accent on data quality, observability, and high-volume processing. Focus on monitoring production pipelines, implementing data contracts and lineage, contributing to CI/CD, and improving reliability for billions of user-generated data points.

Location: Berlin, Germany; hybrid work with two days a week on campus

Company

hirify.global operates a global local delivery and quick-commerce platform serving customers, restaurants, shops, and other local businesses across around 65 countries.

What you will do

  • Build and maintain ELT pipelines supporting analytics requirements across the AdTech tribe.
  • Design and evolve dbt analytics data models with tests, documentation, and clear ownership.
  • Operate production pipelines through monitoring, alerting, incident response, and follow-up fixes.
  • Improve data quality and observability through freshness and volume checks, data contracts, and lineage.
  • Contribute to CI/CD workflows, automated testing, staged deployments, technical proposals, and prototypes.
  • Review peer code and help improve engineering standards while reducing technical debt.

Requirements

  • Around 3–5 years of experience building and operating production data pipelines.
  • Strong SQL skills, including window functions, query performance, and analytical data modeling.
  • Solid proficiency in at least one of Python, Java, or Go.
  • Hands-on experience with dbt or a comparable transformation or semantic-layer tool.
  • Experience with Airflow, Dagster, Prefect, or another workflow orchestrator.
  • Experience with cloud-based data ecosystems such as AWS or GCP, plus strong problem-solving and collaboration skills.

Nice to have

  • Experience in AdTech, marketplaces, or other high-volume event domains.
  • Familiarity with Docker and Kubernetes.
  • Exposure to stream processing technologies such as Apache Flink or Kafka Streams.

Culture & Benefits

  • Hybrid work model with face-to-face collaboration at the Berlin campus.
  • 27 days of annual leave, plus an additional day during the second and third years of service.
  • €1,000 annual education budget, language courses, parental support, and Udemy Business access.
  • Health checkups, meditation, gym access, meal and food vouchers, and public transportation discounts.
  • Employee share purchase plan, sabbatical bank, life and accident insurance, and corporate pension plan.
  • Relocation information and support for moving to Berlin.

Hiring process

  • Interview preparation materials are available, including common interview questions.
  • Accessibility accommodations can be requested during the interview process.

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