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7 дней назад

Senior Data Engineer (Databricks)

Формат работы
hybrid
Тип работы
project
Грейд
senior
Английский
b2
Страна
Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Databricks): Designing and implementing modern data architectures and lakehouse solutions for long-term business intelligence and analytics projects with an accent on Databricks, Snowflake, cloud platforms, and complex data solutions. Focus on providing technical leadership, mentoring project teams, estimating implementation effort, and ensuring code quality through reviews.

Location: Budapest, Hungary; hybrid workplace with occasional on-site presence at client or company offices.

Company

hirify.global is a Budapest-based consultancy with 250+ employees delivering data warehouses, business intelligence, data analytics, application development, and innovative business solutions for Hungarian and international clients.

What you will do

  • Design and implement modern data architectures and lakehouse solutions using Databricks, Snowflake, Azure, and AWS.
  • Provide technical leadership throughout project lifecycles and collaborate with business stakeholders.
  • Create effort estimations and provide technical expertise during pre-sales activities.
  • Mentor project teams of 3–6 people and ensure code quality through code reviews.

Requirements

  • At least 5 years of experience in data engineering.
  • Proficiency in AWS or Azure and Databricks or Snowflake.
  • Strong knowledge of SQL, Python, or PySpark.
  • Proven experience designing and delivering complex data solutions.
  • Excellent communication skills in both English and Hungarian.
  • Valid B2B or contractor status with the ability to issue invoices.

Culture & Benefits

  • Long-term, project-based collaboration with a steady flow of high-end projects.
  • Variety of projects across financial, telecommunications, energy, and other sectors.
  • Flexible hours supporting other professional commitments, with full-time and part-time engagement options of 20–30 hours per week.
  • Professional autonomy and meaningful input into technical solution design and decision-making.
  • Remote-first mindset, with occasional on-site work potentially required by clients or company offices.

Hiring process

  • Initial introductory call.
  • Deep-dive technical interview to discuss expertise and determine project fit.

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