Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
развернуть
144к-264к PLN/год
170к PLN170к PLNмедиана180к PLN
По похожим ролям (6) ~ 170к PLN/год
Прикинули из 12к-22к PLN/мес × 12
На СНГ рынке: $2.4к/мес ($1.9к - $3.5к)
85
Хорошая вакансия
развернуть
Зона ответственности четко связана с качеством данных, а работа с современными платформами и расширенный пакет льгот делают предложение привлекательным; при этом ритейл - стабильная, но не особенно быстрорастущая сфера.
Актуальные технологии
Понятная зона ответственности
Поддержка обучения
Крупная компания
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Quality Engineer (Data) (Data Engineering, Python, SQL, AI): Building automated and manual testing solutions for data platforms, pipelines, and products with an accent on data accuracy, ETL/ELT validation, and continuous testing. Focus on investigating root causes, integrating automated tests with CI/CD pipelines, and exploring AI for test automation and defect detection.
Location: Kraków, Poland; hybrid working with a blend of home and office work.
Salary: 12,000–22,000 PLN gross per month on an employment contract.
Company
hirify.global is a large home improvement company operating brands including Castorama, B&Q, Screwfix, Brico Dépôt, and Koçtaş.
What you will do
Design, develop, and maintain automated and manual tests for data accuracy, completeness, consistency, and reliability.
Test data integrations, ETL/ELT processes, transformations, data platforms, pipelines, and products.
Investigate quality issues, perform root cause analysis, and support corrective and preventative actions.
Collaborate with Data Engineers, Data Designers, Product Owners, and other stakeholders to define quality requirements, risks, and testing approaches.
Support shift-left testing, continuous testing, test automation, CI/CD integration, and quality engineering standards.
Explore practical uses of AI for test automation, data validation, defect detection, and testing efficiency.
Requirements
Practical experience in Quality Engineering, ideally in Data Engineering, Big Data, or data platform environments.
Understanding of Quality Engineering principles, test automation, modern quality assurance, data quality, and software engineering practices.
Good SQL skills for validating datasets, data transformations, and ETL/ELT pipelines.
Hands-on Python experience and exposure to PySpark and Databricks.
Experience developing and maintaining automated tests and contributing to test automation frameworks.
Understanding of CI/CD practices and experience integrating automated testing into delivery pipelines.
Strong analytical and problem-solving skills, including investigating quality issues and identifying root causes.
Good communication and collaboration skills in cross-functional engineering and product teams.
Proactive continuous-improvement mindset focused on reliable, high-quality data solutions.
Excellent written and spoken English required.
Culture & Benefits
Inclusive and flexible working environment with home-office and office options.
Private medical healthcare at LUXMED, including dental care, for employees and families.
Sports card, employer-financed life insurance, child insurance, pension-related benefits, and annual bonus opportunity.
Training, buddy programme, language and accounting courses, LinkedIn Learning, and possible study and certification co-financing.
Wellbeing programme, employee referral programme, office facilities, parking, and discounted public transport in Kraków.
Eight-hour working day with a 30-minute lunch break included.
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 →