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У роли понятный фокус на внедрении корпоративных платформ данных и есть работа с Databricks и AI-проектами, но в консалтинге проекты и клиенты могут часто меняться.
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Работа на проектахПонятные задачиАктуальные технологииПоддержка развития
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Technical Project Manager (Databricks): Leading enterprise-wide data platform implementations built on Databricks from ingestion through Medallion architecture to BI and agentic AI consumption layers with an accent on project delivery, agile leadership, and stakeholder alignment. Focus on managing budgets and technical risks, optimizing compute costs, refining technical roadmaps, and bridging C-level business requirements with data engineering and data science execution.
Location: Remote; EU candidates only. Budapest, Hungary is listed as the job location.
Company
Data and technology services provider delivering data engineering, data science, artificial intelligence, application development, data warehousing, business intelligence, and data analytics solutions.
What you will do
Manage end-to-end delivery of enterprise-wide data platform implementations built on Databricks.
Run sprints, stand-ups, retrospectives, and other Scrum ceremonies for data engineering and data science teams.
Track budgets, optimize compute costs, and manage risks involving data quality and pipeline bottlenecks.
Translate C-level business requirements into technical execution and align business stakeholders with technical teams.
Partner with Product Owners and Data Architects to refine and prioritize the technical roadmap.
Requirements
8+ years of experience as an IT Project Manager or Advisory Consultant, including complex data or cloud projects.
Strong understanding of foundational AI and data platform concepts.
Knowledge of the architectural components of Databricks, Snowflake, and Microsoft Fabric.
Fluent English is required.
Nice to have
Experience at a Big4 or top-tier technology consulting firm.
Hands-on exposure to Spark, Delta Lake, or MLOps tools.
Enterprise implementation experience in ERP, CRM, Core Banking, or BSS/OSS.
Experience in consulting sales or public-sector projects.
Deep business understanding of at least two sectors: Banking, Telco, Energy, Insurance, Retail, or Production.
Strong people management skills and the ability to review and correct technical subject-matter experts' work.
Culture & Benefits
Remote-friendly and hybrid work environment.
Ownership-oriented culture with opportunities to drive impact.
Mentorship, training, and professional growth opportunities.
International AI engagements across global markets.
Collaborative professional community.
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