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3 дня назад

Senior Data Engineer (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
c2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Data Engineer (Databricks): Designing and implementing cutting-edge data platforms and robust data pipelines for Data & AI initiatives with an accent on MLOps methodologies and end-to-end solution design. Focus on architecting transformative solutions and enabling data-driven strategies for clients.

Location: Netherlands

Company

hirify.global helps customers become more data-driven and implement mature data solutions, being the first local Elite partner of Databricks in the Benelux.

What you will do

  • Leverage cutting-edge data engineering techniques to facilitate informed business decisions for clients.
  • Lead the development of robust data pipelines and design end-to-end solutions for sophisticated data products.
  • Ensure stakeholders have seamless access to manipulation capabilities for data on a modern data platform.
  • Design and build next-generation data platforms that support Data & AI initiatives.
  • Set up cloud OTAP environments for platforms such as Azure, AWS, and GCP.
  • Train and guide business consultants and junior developers in the application of cloud technology.

Requirements

  • Minimum 5 years of work experience as a Data Engineer, including at least 2 years with Databricks technology (Spark and Delta Lake).
  • Fluent in Dutch and English.
  • Completed technical WO or HBO education with WO thinking and working level.
  • Strong communication, analytical, and leadership skills for team collaboration.
  • Experience with Cloud platforms (e.g., Azure, AWS, GCP), preferably with certifications.

Nice to have

  • Familiarity with data modeling techniques: Dimensional, Relational, Data Vault.
  • Experience with Pyspark, SQL, Python, data pipelines, API’s, Agile, Scrum, DevOps, data architecture, data storytelling, Infrastructure-as-Code, and ML-Ops.

Culture & Benefits

  • Tailor-made growth path with training, courses, certification, and mentoring.
  • Collaborate with a team of experts pushing boundaries in data, technology, and consulting.
  • Make an immediate impact and take responsibility for client projects from day one.
  • Work in a supportive, flexible, and no-nonsense environment that fosters growth and authenticity.
  • Competitive employment benefits, including bonuses and expense allowance.
  • A company car or mobility budget.
  • Prioritized work-life balance, with options like sabbaticals or expanded holidays.
  • An affordable sports membership with access to 50 different sports at over 10,000 partners.
  • Opportunity to work remotely from abroad for 10 days per year.
  • A vibrant community that organizes both professional and social events.

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