Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
€61к-83к/год
€56к€67кмедиана€77к
По похожим ролям (50) ~ €67к/год
На СНГ рынке: $3.4к/мес ($2.6к - $4.3к)
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Чёткая зона ответственности, сильный пакет льгот и зарплата на уровне рынка делают вакансию привлекательной; при этом нужно будет отвечать за инциденты в продакшене.
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Ответственность за продЗарплата на уровне рынкаСовременный стекСильный пакет льготПонятные задачи
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineer, Revenue, Purchase & Order (Data Analytics): Building scalable, reliable data products and pipelines for revenue, purchase, and order domains with an accent on data quality, observability, and production reliability. Focus on designing tested data models, monitoring high-volume systems, and diagnosing root causes to improve resilience for analytics and machine learning use cases.
Location: Berlin, Germany; hybrid work with 2 recommended office days per week.
Salary: €61,200–€82,800 gross annual.
Company
hirify.global is a second-hand marketplace connecting millions of members across more than 20 markets, with additional shipping and payment business units.
What you will do
Design, develop, and evolve reliable, scalable, and cost-efficient data products and pipelines for analytics and machine learning use cases across revenue, purchase, and order domains.
Embed automated testing, validation, and quality controls throughout the data lifecycle.
Improve monitoring and alerting to detect and resolve data issues before they affect downstream consumers.
Own production data systems end to end, including incident investigation, root-cause diagnosis, and implementation of durable fixes.
Collaborate with Data Scientists, Decision Scientists, Backend Engineering, Product, and Business teams to translate needs into trusted data solutions.
Contribute to the Analytics Engineering Guild’s shared tooling, engineering standards, and reusable capabilities.
Requirements
Experience as an Analytics Engineer, Data Engineer, or in a closely related data role.
Strong SQL and data warehousing fundamentals, with the ability to build clean, performant, and maintainable data solutions.
Hands-on experience with dbt or a similar data transformation framework, including well-structured and tested data models.
Experience with a cloud data warehouse such as BigQuery, Snowflake, Redshift, or similar.
Solid understanding of data modelling principles and their application to real-world analytical problems.
Familiarity with workflow orchestration tools such as Airflow, Dagster, or similar.
Comfort working with high-volume, business-critical data while maintaining high standards for quality and reliability.
Strong written and verbal communication skills in English, including the ability to explain technical concepts and trade-offs to technical and non-technical audiences.
Culture & Benefits
Hybrid work model with 2 recommended office days per week.
Up to 90 days of remote work per year in the EU, including up to 21 days globally; non-EU citizens can work worldwide for 21 days.
30 days of paid annual leave, supplemental private health insurance, life and disability insurance, and a pension plan with 150% employer matching of the chosen contribution.
Share options, learning budget starting at €3,000 per year, and up to 10 working days over 2 years for professional development.
Home office equipment and a budget of up to €540 for workplace furniture, plus a lunch benefit and subsidised Deutschlandticket.
Employee Assistance Program, discounted gym membership, team-building events, monthly hirify.global shopping budget, and a dog-friendly office.
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