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A Senior Data Engineer who enjoys working in complex, enterprise-scale environments and is motivated by building robust, cloud-based data solutions. You have a strong engineering mindset, take ownership end-to-end, and are comfortable working with modern data platforms and cloud-native technologies.
Job Responsibility:
Design, build, and maintain scalable data pipelines on Azure
Ensure reliable, secure, and high-performance data processing using Databricks and cloud-native services
Support data-driven use cases across the organisation with clean, well-structured, and well-governed data
Contribute to a stable, automated delivery process through CI/CD and Infrastructure as Code
Develop and maintain data pipelines using Python (3.11+) and Databricks / PySpark
Work with Azure services including networking, storage, and security (Entra ID)
Write and optimise SQL for data transformation and analysis
Contribute to backend components using Java (17+), ideally with Spring or Quarkus
Automate infrastructure using Bicep and follow Infrastructure as Code best practices
Build and maintain CI/CD pipelines (Azure DevOps preferred)