Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на BI и данных и современный набор инструментов, но зарплата и условия B2B-контракта не раскрыты, поэтому важные детали предложения остаются неясными.
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Контракт B2BЗарплата не указанаСовременный стекПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Power BI & Data Specialist (Power BI/Python/Databricks): Designing and maintaining dashboards, reports, semantic models, and scalable analytical solutions with an accent on data modelling, automation, and business requirements analysis. Focus on building data pipelines and reporting interfaces, optimizing SQL and Python solutions, and translating complex technical concepts into deliverables for international stakeholders.
Location: Remote, with the role listed in Athens, Attica, Greece
Company
Quento is the ICT arm of hirify.global, delivering solutions across AI, digital engineering, cloud, and cybersecurity.
What you will do
Design, develop, and maintain Power BI dashboards, reports, semantic models, and analytical solutions.
Develop and optimize data models and data processing solutions using Power BI, Power Query, Python, and SQL.
Use Databricks and cloud-based analytics platforms to support scalable reporting and data-driven decision-making.
Gather, analyze, document, and validate business requirements, translating them into technical and analytical deliverables.
Support intuitive user-facing reporting interfaces and the continuous improvement of data products and analytics services.
Facilitate workshops and explain technical concepts to business and technical stakeholders in an international environment.
Requirements
Bachelor’s degree in computer science, engineering, data science, information systems, mathematics, or a related field.
At least six years of post-university experience in data management and software development.
Strong hands-on experience with Power BI, including data modelling, Power Query, dashboard and report development, and semantic models.
Strong experience with Python, SQL, Databricks, cloud-based analytics environments, containerized platforms, and Kubernetes.
Experience with data integration, analytics platforms, data validation, reporting interfaces, and modern BI and data engineering practices.
Fluent English at C1 level or higher is required, including the ability to facilitate discussions with business and technical stakeholders.
Nice to have
Experience in international, regulated, public-sector, or enterprise-scale analytics environments.
Exposure to cloud-based data platforms, AI-assisted analytics, advanced reporting, or data-driven automation.
Familiarity with data governance or data product management concepts.
Culture & Benefits
Offsite work under a B2B contract.
Collaboration in an international and multicultural environment.
Focus on innovation, analytics best practices, data quality, and continuous improvement.
CV submission in English is required.
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