Developer – Azure Databricks / Python / PySpark - 10967958

Developer – Azure Databricks / Python / PySpark Requirement ID: 10967958 Posted On: 09 September 2026 Location: Amsterdam, Netherlands Work Arrangement: Fully Onsite Experience: 8–10 years Languages: English Contract Duration: To be confirmed Core Skills: Python, Azure Databricks, PySpark Job Description We are looking for an experienced Developer / Data Engineer with strong hands-on expertise in Azure Databricks, Python, and PySpark . The ideal candidate will specialize in building robust, reliable, and maintainable data-processing solutions within a Databricks environment. This role is focused on data processing engineering within Databricks , rather than traditional Business Intelligence (BI), data enrichment, or reporting architectures. The successful candidate should have deep practical experience managing complex data processes and making sound technical decisions in a continuously evolving architecture. Key Responsibilities Design, develop, and maintain robust data-processing solutions using Azure Databricks . Build and manage batch and streaming data-processing pipelines . Develop scalable solutions using Python, PySpark, and SQL . Design appropriate data models within the Databricks environment. Manage and control multiple parallel data processes working with shared source data. Ensure data-processing solutions are stable, reliable, maintainable, and scalable. Work with Azure cloud services and implement CI/CD pipelines using YAML . Develop and maintain infrastructure using Infrastructure as Code (IaC) , particularly ARM/Bicep . Identify and resolve technical issues while minimizing technical debt. Contribute to continuous improvement of the data-processing environment and development practices. Collaborate closely with other engineers, architects, and stakeholders in an Agile environment. Make pragmatic technical decisions without unnecessary over-engineering or blindly applying design patterns. Must-Have Skills Strong, hands-on experience with Azure Databricks . Deep expertise in Python and PySpark . Strong SQL skills. Proven experience designing and managing data processing within Databricks. Experience with both streaming and batch data processing . Experience designing data models within Databricks. Experience managing multiple parallel data processes using shared source data. Solid experience with Microsoft Azure cloud services. Hands-on experience with CI/CD pipelines using YAML . Experience with Infrastructure as Code , particularly ARM and/or Bicep . Experience working in an Agile development environment. 8–10 years of relevant professional experience . Nice-to-Have Broader understanding of end-to-end data solutions . Experience working within complex and evolving data architectures. Understanding of best practices for building highly reliable and maintainable data platforms. Soft Skills & Professional Competencies The ideal candidate should demonstrate: Strong focus on quality, reliability, and maintainability . A proactive mindset and commitment to continuous improvement . Strong collaboration and communication skills. A structured and analytical approach to problem-solving. A pragmatic engineering mindset. Ability to make well-founded technical decisions. Ability to avoid unnecessary complexity and over-engineering. Strong ownership of solutions from development through to reliable operation. What We Are Looking For We are specifically looking for a pragmatic Azure Databricks/Python specialist with genuine, deep hands-on experience—not someone with only superficial exposure to Databricks. The successful candidate will be comfortable managing and controlling data within a Databricks environment, building stable and high-quality processing solutions, and working effectively within a complex technical architecture.