Senior Python Developer – Azure Data Platform (m/f/d) ID27174-0
Project Start: 01.10.2026
Project End: 31.12.2026
Offsite Hours: 400
Onsite Hours: 0
Travel Hours: 0
Work Location: Remote
Project Description
As part of the Meters & Money project, we are building a future-proof data foundation layer that enables reporting, a billing solution and a customer portal, unlocking more value from their operational data.
Tasks
Design, develop, and maintain components of an Azure-based data platform using Python, CosmosDB and DeltaTables
Build and integrate containerized workloads running on Azure Container Apps
Take ownership of technical topics independently, from solution design through implementation, testing, and deployment
Develop well-tested code following established software engineering and Python best practices
Implement appropriate error handling, logging, monitoring, and operational safeguards for production workloads
Collaborate with other developers, data engineers, and stakeholders to deliver reliable end-to-end solutions
Review existing implementations and proactively identify opportunities for improvement, simplification, and increased maintainability
Consult the preparation and stabilization of the platform for production go-live, covering (automated) deployment to separate environments
Contribute to CI/CD pipelines and automated deployment processes
Where applicable, contribute to Infrastructure as Code (IaC) and the automation of Azure infrastructure provisioning and configuration
Skills
Python, Azure, CI/CD
Senior-level Python development experience, with the ability to work independently and make sound technical decisions based on software engineering best practices
Strong practical experience with Python-based timeseries data processing
Experience developing and operating containerized applications on Azure
Experience writing production-ready, well-tested, maintainable code
Ability to independently analyze problems, develop solution approaches, and implement them end-to-end
Experience working in an environment preparing a data platform for production go-live
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