2 дня назад
Data Engineer II (AdTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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