aipythonsqlsnowflakedbtazure data factorydata pipelinesprefect
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошо структурированная вакансия в крупной международной компании с фокусом на современные практики обработки данных, такие как data mesh и использование AI-инструментов.
Современный стек
AI в процессах
Четкие задачи
Стабильная компания
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Snowflake/dbt): Building and maintaining reliable data pipelines and data products for a data mesh platform with an accent on Prefect, Snowflake, dbt, testing, documentation, and freshness checks. Focus on diagnosing pipeline and performance failures, improving shared data engineering standards, and supporting business domains in delivering their own data products.
Location: ul. Domaniewska 34a, Warszawa; hybrid work with 3 days in the office
Company
hirify.global is an international, family-owned manufacturer of roof windows and related products, with around 12,000 employees, 20 production companies, and sales companies in 37 countries.
What you will do
Design, build, and maintain reliable Prefect data pipelines from databases, APIs, and external data providers.
Build Snowflake data products with dbt, from staging through reporting models, including tests, documentation, and freshness checks.
Investigate and resolve pipeline failures, test failures, and performance problems while reducing repeat failures.
Develop data products within the common framework and propose improvements to standards and delivery practices for the data mesh.
Review pull requests and documentation from data engineering colleagues and business-domain developers.
Take ownership of workstreams in the 2027 roadmap.
Requirements
Advanced SQL and Python skills.
Production experience with dbt or a similar data engineering tool.
Full fluency in spoken and written English.
Good communication skills.
Nice to have
Production experience with a cloud data warehouse such as Snowflake or an equivalent platform.
Production experience with dbt, including models, layers, tests, and metadata.
Production experience with Prefect, including schedules, retries, backfills, and failed-run analysis.
Experience working with non-engineers who build and deliver their own data solutions.
Experience identifying and automating manual tasks in data engineering workflows.
Experience with AI coding environments such as Claude Code or Codex.
Culture & Benefits
Hybrid work with 3 office days, flexible working hours, and a modern office in Warsaw.
Trust-based, respectful, international, open-minded, and results-driven team culture focused on direct communication, transparency, and collaboration.
Annual bonus and an Employee Pension Scheme paid fully by the employer.
Well-being package including a Multisport card or holiday subsidy, life insurance, lunch card, gift cards, private medical care, and rehabilitation.
Employee Foundation support, referral programme, employee discounts, office massages, and parking spaces.
Hiring process
Submit an application and CV as soon as possible; interviews are conducted on an ongoing basis until the position is filled.
All inquiries are treated confidentially.
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