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Понятная зона ответственности на ведущем уровне и конкретные задачи в области качества данных делают вакансию сильной; формат работы в Кракове и подробно описанные льготы дают полезный контекст.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Quality Engineer (Data) (Data Engineering/Quality Engineering): Defining quality strategy and developing automated and manual tests for data platforms, pipelines, and products with an accent on data accuracy, ETL/ELT validation, and continuous testing. Focus on leading root-cause analysis, integrating automation with CI/CD, mentoring engineers, and exploring AI for test automation and defect detection.
Location: Kraków, Poland; hybrid work combining home and office work in Kraków
Salary: 23,000–30,000 PLN gross per month on an employment contract
Company
hirify.global is a home improvement company operating brands including Castorama, B&Q, Screwfix, Brico Dépôt, and Koçtaş, with more than 74,000 people.
What you will do
Define and drive Quality Engineering strategy, standards, and best practices across data platforms, pipelines, and products.
Lead automated and manual testing for data accuracy, completeness, consistency, reliability, integrations, ETL/ELT processes, and transformations.
Investigate complex quality issues, perform root-cause analysis, and drive preventative actions and continuous improvement.
Partner with Data Engineers, Data Designers, Product Owners, and stakeholders to define quality requirements, identify risks, and establish testing approaches.
Drive shift-left testing, continuous testing, CI/CD integration, and quality throughout the software development lifecycle.
Provide technical guidance and mentoring, evaluate emerging tools, and explore practical AI applications for automation, validation, and defect detection.
Requirements
Extensive Quality Engineering experience, ideally in Data Engineering, Big Data, or complex data platform environments.
Strong expertise in Quality Engineering principles, test strategy, automation, and modern quality assurance practices.
Experience defining test strategies, standards, and Quality Engineering best practices across teams.
Advanced SQL skills for validating complex datasets, data transformations, and ETL/ELT pipelines.
Hands-on experience with Python, PySpark, Databricks, and testing distributed data processing solutions.
Experience designing and evolving automated test frameworks and integrating continuous testing into CI/CD pipelines.
Good understanding of cloud-based data platforms, data quality principles, and modern software engineering practices.
Strong analytical, problem-solving, communication, and stakeholder management skills, including the ability to influence technical decisions.
Proactive continuous-improvement mindset focused on reliable, scalable, high-quality data solutions.
Excellent written and spoken English required.
Culture & Benefits
Flexible and agile hybrid working with home-office and Kraków-office options.
Private medical healthcare at LUXMED, including dental care, for employees and families.
Medicover sports card, employer-funded life insurance, wellbeing programme, and annual bonus opportunity.
Training and Buddy programme, language and accounting courses, LinkedIn Learning, and possible study and certification co-financing.
Eight-hour working day with a 30-minute lunch break, plus public transport co-financing and parking benefits.
Inclusive environment supporting experimentation, continuous improvement, and professional development.
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