Senior Azure Data Engineer

Role overview Design, build, and operate production data pipelines and analytical products on an Azure-based data platform. The role spans new reporting workloads and improvements to existing pipelines, with responsibility for reliability, performance, monitoring, incident response, and operational documentation.

Responsibilities - Create, test, deploy, and maintain scalable pipelines for reporting and analytics. - Refactor existing pipelines to improve reliability, performance, maintainability, and observability. - Work with data, architecture, product, and engineering colleagues to turn reporting needs into robust solutions. - Onboard data workloads to the platform and align them with architecture, governance, security, and engineering standards. - Own operational practices for data pipelines, diagnose failures, identify root causes, and implement lasting fixes. - Document data flows, dependencies, transformations, and operating procedures; share practices that support team autonomy.

Requirements - At least eight years of data engineering experience, including ownership of production-grade pipelines. - Strong hands-on experience with Microsoft Azure and Databricks. - Advanced SQL and Python skills, with experience building and operating data pipelines and analytical data products. - Understanding of modern data platform and lakehouse approaches, including medallion architecture and dimensional modelling. - Experience with software engineering and DataOps practices such as version control, automated testing, CI/CD, monitoring, and incident management. - SRE experience, strong data modelling judgment, clear documentation, and ability to work autonomously across teams.

Nice to have - Databricks governance, lineage, and access-control experience, including Unity Catalog. - Experience with payment or transaction data, or in distributed international teams.