Data Engineer | f/m/d

We work for the financial industry and you will play a crucial role in a DevOps approach designing, building, and maintaining the infrastructure that underlies data-driven decision-making. Your primary responsibility is to ensure the efficient and reliable flow of data from various sources to support business intelligence, trading and risk management. The tools and frameworks we use: Azure OpenAI, Azure Machine Learning, Cognitive Services, Azure Data Factory, Azure Blob Storage, Azure DevOps, AKS, Azure DevOps, Databricks, Python, Docker, Kubernetes/AKS. Javascript, .Net, MLflow (Databricks). How you will get the job done  - designing and implementing data models and architectures that support financial data management - developing and maintaining ETL processes to integrate data from diverse sources, including market data feeds, customer information systems, and transactional databases - ensuring data quality, security, and compliance with regulatory requirements - collaborating with business owners, data analysts and scientists, SW engineers, and DevOps specialists to support the development of predictive models and business intelligence tools - optimizing data processing workflows for performance, scalability, and reliability - working in an international Scrum team