Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь есть современная работа с данными на GCP, техническое лидерство и явно заявленная поддержка обучения и благополучия. Но широкий круг клиентских задач и отсутствие зарплатной вилки мешают оценить предложение целиком.
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Много разных задачЗарплата не указанаСовременный стекВремя на развитиеПоддержка благополучия
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Big Data Architect (GCP): Architecting and implementing data pipelines, data platforms, and data warehouses on Google Cloud with an accent on BigQuery, Kubernetes, Airflow, dbt, and agentic AI tools. Focus on technical leadership, client consulting and training, end-to-end delivery, presales activities, and proof-of-concept development.
Location: Budapest, Hungary; hybrid work with 2–3 days from the office.
Company
hirify.global is a Google Cloud Partner delivering data analytics, machine learning, infrastructure, application development, and cloud migration solutions for clients in Europe and Asia.
What you will do
Architect and build data pipelines, data platforms, and data warehouses on Google Cloud Platform.
Act as a GCP technical consultant and trainer for client engineering teams.
Join client engineering teams and implement modern data engineering practices.
Lead and mentor engineers while supporting agile data team practices.
Manage stakeholder communication, conflict resolution, and end-to-end delivery.
Contribute to presales activities and proof-of-concept delivery.
Requirements
At least 6 years of hands-on coding experience with Java or Python and SQL.
At least 3 years of experience with Google Cloud Platform and/or Professional Google Cloud certifications.
Strong practical experience with BigQuery, Kubernetes, Airflow or Cloud Composer, and dbt Core.
Up-to-date hands-on experience using agentic AI tools to build software solutions.
Experience in telecommunications, banking, or financial services.
Strong English and Hungarian communication skills; ability to work from the Budapest office 2–3 days per week.
Nice to have
Professional Google Cloud certifications.
Experience mentoring engineers and guiding clients through cloud adoption.
Culture & Benefits
Hybrid work opportunities, flexible working hours, and support for work-life balance.
Regular feedback, mentorship, continuous training, and allocated learning hours during working time.
Financial initiatives supporting physical and mental health and green commuting.
Employee counseling with coaches and contracted psychologists.
Collaborative environment with knowledge-sharing sessions, professional meetups, team events, and sports activities.
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