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4 дня назад

Senior Data Engineer (Data Mesh)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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.

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