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2 дня назад

Senior Data Engineer (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Engineer (Databricks): Designing scalable data integration solutions and corporate data products across Databricks, SAP BDC, Microsoft Fabric, and enterprise systems with an accent on data architecture, platform governance, and performance optimization. Focus on owning the Databricks Data Layer, leading international integration projects, building reusable templates, and mentoring junior engineers.

Location: Berlin, Germany; hybrid mobile working is usually available three days per week.

Company

hirify.global develops AI, data, automation, data platform, and business intelligence solutions across the value chain.

What you will do

  • Architect complex data integration solutions with the Enterprise Data Architect across Databricks, SAP BDC, and Microsoft Fabric.
  • Design and develop scalable corporate data products by integrating heterogeneous data from SAP, Microsoft, and other enterprise systems.
  • Own the Data Layer on the central Databricks platform, ensuring performance, governance, stability, and continuous evolution.
  • Lead international data integration projects and drive global standardization and best practices.
  • Develop proofs of concept and reusable Databricks templates, using agentic coding where appropriate.
  • Provide technical guidance and mentor junior colleagues.

Requirements

  • 5–10 years of hands-on experience with SQL, database technologies, and designing and optimizing high-performance data solutions.
  • Deep practical expertise in the Databricks ecosystem, including Delta Lake and Apache Spark.
  • Experience with performance tuning, execution optimization, and cost-efficient data processing.
  • Software development experience with Python, Java, C, C++, or C#.
  • Familiarity with CI/CD pipelines using GitHub Actions.
  • Hold or be willing to obtain Databricks Certified Data Engineer Professional and a cloud provider certification such as Azure Data Engineer Associate or AWS Certified Data Engineer.
  • Effective communication in an international environment and the ability to explain complex technical topics clearly.

Culture & Benefits

  • Permanent employment contract with a secure workplace, flat hierarchies, and a culture of appreciation.
  • Flexible working hours and mobile working, usually three days per week.
  • 30 days of annual vacation for full-time employment, pro rata for part-time employment.
  • Performance-based bonus, modern equipment, comprehensive onboarding, and personalized training.
  • Workation for up to 30 days per year in selected countries and a sabbatical after three years of employment.
  • Health, fitness, career development, employee events, corporate benefits, relocation cost reimbursement under certain conditions, JobRad, JobTicket, and company health insurance.

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