Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная инженерная зона ответственности, современный стек и хорошие льготы, но обязательные четыре дня в офисе заметно ограничивают гибкость.
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Четыре дня в офисеАктуальный стекДанные для AIПонятные задачиСильный пакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer - Commercial BI (m/f/d) (dbt/Snowflake): Building and maintaining commercial data products, consumer-ready marts, and semantic layers that support consistent product and pricing data and AI-ready analytics with an accent on data modelling, data quality, and mesh governance. Focus on defining data contracts, enforcing ownership and versioning, and designing reliable testing, freshness, monitoring, and CI/CD practices.
Location: Munich, Germany; four office days per week from Monday to Thursday. Work-from-anywhere is available for up to four weeks per year.
Company
hirify.global is a European design and home-living e-commerce company headquartered in Munich, operating in more than 20 European countries.
What you will do
Design, build, and maintain Commercial domain data products in dbt, integrating PIM, ERP, and pricing sources into consumer-ready marts.
Model products, prices, suppliers, stock, and margins to ensure consistent commercial data across the company.
Build semantic views and a semantic layer to make commercial data AI-ready and provide clear metric definitions.
Define data contracts, ownership, and versioning so other domains can reliably use Commercial data.
Ensure data quality and timeliness through dbt tests, freshness checks, monitoring, and clear SLAs.
Establish analytics engineering practices including code review, CI/CD, modelling standards, and data mesh governance.
Requirements
3+ years of experience as a Data Engineer, Analytics Engineer, or in a similar role.
Strong hands-on experience with dbt and excellent SQL skills; Snowflake experience is preferred.
Solid knowledge of dimensional and Kimball modelling, layered architectures, data mesh principles, and semantic layers.
Experience with orchestration such as Airflow or dbt Cloud jobs, Git, and CI/CD.
Good Python skills.
Product mindset, a can-do attitude, and comfort working at a fast pace.
Fluency in English.
Nice to have
Experience with dbt Cloud or dbt Mesh.
Commercial data experience, including PIM, pricing, assortment, or supplier data.
Experience preparing data for AI or LLM use cases.
Culture & Benefits
Permanent position in an international environment focused on trust, feedback, collaboration, ownership, and growth.
In-office culture with four office days per week, plus work-from-anywhere opportunities for up to four weeks per year.
30 days of paid holiday.
Dog-friendly centrally located office with a terrace, food, team events, and team rituals.
Employee discounts, wellbeing support, sports memberships, preventive care, and sustainable mobility options.
Support for working parents, including on-site daycare, plus one annual Social Impact Day.
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