As a Senior Azure Databricks Developer, you will: - Design, develop, and maintain scalable data processing solutions using Azure Databricks. - Build and optimize batch and streaming data pipelines using Python, PySpark, and SQL. - Design and implement robust data models within the Databricks ecosystem. - Manage multiple parallel data processing workloads on shared datasets while ensuring performance and reliability. - Collaborate with cross-functional teams to deliver high-quality data solutions aligned with business requirements. - Implement CI/CD pipelines using Azure DevOps and YAML-based deployment frameworks. - Utilize Infrastructure as Code (ARM/Bicep) to automate cloud resource provisioning and management. - Participate in Agile ceremonies and contribute to continuous improvement initiatives. - Ensure solution quality, maintainability, scalability, and adherence to engineering best practices. - Make informed technical decisions within a complex and evolving cloud data architecture. What You Bring to the Table: - 6–8 years of overall experience in software engineering, data engineering, or cloud data platform development. - Strong hands-on experience with Azure Databricks as a primary development platform. - Deep expertise in Python, PySpark, and SQL for large-scale data processing. - Proven experience building and managing both streaming and batch processing solutions. - Solid experience with Azure cloud services and CI/CD implementation using YAML pipelines. - Hands-on experience with Infrastructure as Code tools, particularly ARM Templates and/or Bicep. - Strong understanding of distributed data processing concepts and performance optimization. - Experience working in Agile development environments. - Exposure to end-to-end data platform architectures is an added advantage. You Should Possess the Ability to: - Design reliable and scalable data processing frameworks within Azure Databricks. - Handle complex data transformation and processing requirements efficiently. - Optimize data workloads for performance, scalability, and cost-effectiveness. - Manage concurrent processing pipelines and shared data dependencies. - Identify, troubleshoot, and resolve technical issues proactively. - Communicate technical concepts effectively to stakeholders and team members. - Balance engineering best practices with practical business requirements. - Drive continuous improvement initiatives and reduce technical debt. - Deliver maintainable, production-grade solutions with a strong focus on quality. What We Bring to the Table: - Opportunity to work on large-scale cloud-native data platforms and modern data engineering initiatives. - Exposure to cutting-edge Azure and Databricks technologies. - Collaborative Agile work environment focused on innovation and continuous learning. - Challenging technical projects that encourage ownership and professional growth. - A culture that values quality engineering, pragmatic problem-solving, and teamwork. - Opportunities to contribute to architecture decisions and influence technical direction. - Dynamic and supportive team environment focused on delivering impactful solutions. Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. ​ Recruiter: Giftson Paul Davidson Phone: +31 20 369 0609 ; Extn : 146 E-mail: giftson.p@stafide.nl LinkedIn: [https://www.linkedin.com/in/giftsonpauldavidson](https://www.linkedin.com/in/giftsonpauldavidson/)