/Databricks/Python Specialist

Databricks/Python Specialist

Netherlandsnlvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
1 month ago

About the Role

GeekSoft Consulting | Fixed Term Employment

Amsterdam, Netherlands | Posted on 06/17/2026

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  • Industry Technology
  • Date Opened 06/17/2026
  • Job Type Fixed Term Employment
  • Work Experience 5+ years
  • State/Province Noord-Holland
  • City Amsterdam
  • Zip/Postal Code 1011
  • Country Netherlands
  • Help design, build and continuously improve the clients online platform.
  • Research, suggest and implement new technology solutions following best practices/standards.
  • Take responsibility for the resiliency and availability of different products.
  • Be a productive member of the team.
  • Experienced Data Engineer with deep expertise in Azure Databricks and Python/PySpark to design, develop, and maintain robust data processing solutions.
  • Focuses on building reliable and scalable data processing capabilities within a Databricks environment, rather than traditional BI or data enrichment solutions.
  • Strong hands-on experience managing complex data workloads, designing efficient data models, and ensuring the stability, quality, and maintainability of data solutions within a modern cloud architecture.
  • Strong hands-on experience with Azure Databricks as the primary technology platform.
  • Deep expertise in Python, PySpark, and SQL.
  • Proven experience designing and managing data processing solutions within Databricks environments.
  • Experience handling both streaming and batch data processing workloads.
  • Strong understanding of data modeling principles within Databricks.
  • Experience managing multiple concurrent data processing pipelines operating on shared data sources.
  • Hands-on experience with Azure cloud services and CI/CD pipeline implementation using YAML.
  • Experience with Infrastructure as Code (IaC) using ARM templates and/or Bicep.
  • Experience working within Agile development environments.
  • Understanding of end-to-end data platform and data solution architectures.
  • Strong focus on quality, reliability, maintainability, and minimizing technical debt.
  • Proactive mindset with a commitment to continuous improvement.
  • Excellent collaboration and communication skills.
  • Structured and pragmatic engineering approach with a focus on practical, sustainable solutions.
  • Ability to make sound technical decisions within complex and evolving environments.
  • A challenging, innovating environment.
  • Opportunities for learning where needed.

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