Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$51к$60кмедиана$70к
20 в выборке
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
88
Хорошая вакансия
развернуть
Роль сочетает архитектуру данных и практическую инженерную работу, а обязанности и стек описаны подробно; обязательные три дня в офисе снижают гибкость.
Три дня в офисе
Актуальный стек
Чёткая зона ответственности
Стабильный работодатель
Расширенный соцпакет
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Data Mesh/Snowflake/dbt): Designing data architecture, frameworks, pipelines and models for a data mesh platform with an accent on domain-oriented ownership, self-service data access and reliable data foundations. Focus on establishing data observability, reviewing production dbt work, supporting business domains, and defining standards across raw-to-staging data layers.
Location: Warsaw, Poland; hybrid work with 3 days in the office.
Company
hirify.global is an international, family-owned manufacturing company producing roof windows and related products, with around 12,000 employees, 20 production companies in 12 countries and sales companies in 37 countries.
What you will do
Define data architecture, domain boundaries and data structures across business areas and raw-to-staging data layers.
Build and maintain shared specifications, requirements templates, standards and documentation for business data domains.
Design, build and maintain data pipelines and models on the Reflect data platform.
Support business domains joining Reflect, agree support boundaries and develop a self-service approach for finding, understanding and using data.
Establish data observability through freshness and quality tests, usage and performance monitoring, and alert routing.
Review pull requests and documentation, and take ownership of key workstreams in the 2027 roadmap.
Requirements
Advanced SQL and Python skills.
Production experience with dbt in a large project, including maintaining models, tests, documentation and dependencies between projects.
Experience enabling non-engineers and business colleagues to build and ship data, write queries, create models or produce reports.
Full fluency in spoken and written English.
Excellent communication skills and the ability to engage effectively with stakeholders.
Nice to have
Production experience with Prefect, including schedules, retries, backfills and failed-run analysis.
Experience setting data architecture rather than only working within an architecture defined by others.
Experience with domain-oriented data ownership and business-owned data products.
Data governance experience covering ownership roles, data-product reliability criteria, catalogue metadata and access management.
Practical experience with AI coding environments such as Claude Code or Codex, including refactoring, test generation, documentation or workflow automation.
Culture & Benefits
Trust-based, respectful and collaborative international team working in English.
Hybrid work with 3 office days, flexible working hours and a modern office.
Annual bonus, employer-funded Employee Pension Scheme and employee discount on hirify.global products.
Well-being package including Multisport or holiday subsidy, life insurance, lunch and gift cards, private medical care, telemedicine and rehabilitation.
Additional Employee Foundation support, office massages, parking and referral programme.
Hiring process
Submit an application and CV as soon as possible; interviews are conducted on an ongoing basis until the position is filled.
Applications and inquiries are treated confidentially.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →