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14 дней назад

Senior Data Engineer (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
c1
Страна
Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (Databricks): Architecting and developing cloud data solutions and lakehouse platforms with an accent on robust data models, business requirements, and technical delivery. Focus on leading migration and development projects, planning testing, estimating implementation effort, and mentoring project teams.

Location: Hybrid in Budapest, Hungary

Company

Budapest-based data and application development company delivering business intelligence, data analytics, data warehouse, and cloud data solutions for Hungarian and international clients.

What you will do

  • Translate business needs into data requirements and solution plans.
  • Participate in technical pre-sales, effort estimation, and proposal creation.
  • Architect robust data models and modern cloud data platforms, with a focus on lakehouse architectures.
  • Lead the technical development of cloud data solutions.
  • Plan and lead testing activities.
  • Lead and mentor project teams of 3–6 members.

Requirements

  • At least 5 years of data engineering experience.
  • Hands-on experience with Databricks, Snowflake, Azure, or AWS-based data platforms.
  • At least 2 years of technical leadership or team lead experience on data warehouse or lakehouse migration and development projects.
  • Experience in consultancy projects, including business logic assessment, proposal submission, and time estimation.
  • Strong communication, customer orientation, proactivity, problem-solving, and creativity.
  • Professional working proficiency in English and Hungarian, both written and spoken.

Nice to have

  • Experience with legacy on-premise platforms such as Oracle or MSSQL.
  • Experience working on international projects.

Culture & Benefits

  • Diverse assignments combining technical and business challenges.
  • Access to modern technologies and tools.
  • Collaborative, supportive teams focused on shared outcomes.
  • Work-life balance and coordination with personal commitments.
  • Regular team gatherings, knowledge sharing, and technical discussions.
  • Personal mentoring and a culture based on mutual respect.

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