Senior Platform Solutions Engineer - Azure DevOps (f/m/d)

In this role, I will rely on you for cross-functional collaboration, partnering with stakeholders across business units to translate complex requirements into robust data-driven technical solutions, integrating data engineering and software development. You will be expected to engage in hands-on development by building and optimizing data pipelines using modern programming languages and frameworks, focusing on Python/Pyspark/Snowpark. Additionally, you will design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake for seamless data ingestion, transformation, storage, and retrieval. I will count on you to leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). You will also drive solution delivery through agile methodologies, managing end-to-end development cycles from requirements gathering to deployment and monitoring, ensuring high-quality deliverables. Conducting rigorous testing, including unit, integration, and user acceptance testing (UAT), will be key to ensuring reliability, performance, and scalability of data systems. Lastly, I will need you to monitor and optimize production environments using observability tools and implement CI/CD pipelines for continuous delivery using tools like Azure DevOps.