.Omya is a leading global producer of industrial minerals – mainly derived from calcium carbonate, dolomite, and perlite – and a worldwide distributor of specialty chemicals. Founded in 1884 in Switzerland, Omya has a global presence extending to more than 160 locations in over 50 countries with 9,000 employees.Data and Analytics Office is responsible for creating business value from data and strategizing with all business functions to support Omya's digital transformation. It defines and implements a Data Strategy to drive the use of data scientists and analytics and leverage Artificial Intelligence across the business for additional add-value. The aim is to "Leverage Data as an Asset" in a cross-functional program to support Omya's Digital transformation.We are seeking a skilled and experienced Data Solution Engineer to join our team to be responsible for developing and governing our 'Data Platform'. As a Data Solution Engineer, you will be responsible for overseeing the implementation and management of our solution on Azure Data Platform, with a specific focus on Azure services and technologies. The ideal candidate will possess a strong proficiency in Azure Data Platform, along with extensive knowledge of Azure cloud services and relevant certifications.The Data Solution Engineer will report to the Data & Analytics Manager.Main responsibilities:Lead the end-to-end implementation of our solution on Azure Data Platform, including design, development, deployment, and ongoing maintenance.Collaborate with cross-functional teams, including data architects, tech developers, data scientists and other data engineers, to define and refine the solution architecture.Provide technical expertise and guidance to ensure that the solution is implemented efficiently and effectively by our supplier, leveraging the capabilities of the Azure Data Platform.Work closely with Data Ambassadors and Data Center of Excellence (CoE) to gather requirements, define project scope, and manage expectations throughout the project lifecycle.Develop and maintain a deep understanding of Azure cloud services, with a focus on Azure Data Platform, including Azure Synapse Analytics, Azure Data Lake, Azure Databricks, Azure Machine Learning, Azure Cognitive Services, Azure Cosmos DB (or other NoSQL DB), and other relevant technologies.Extensive experience in data integration with various sources such as SAP, Salesforce, DBs, SCADA, PIMS, etc.Monitor and optimize the performance and scalability of the solution on Azure Data Platform, making recommendations for improvements as needed.Responsible for overseeing AI implementations. This includes understanding AI models developed by data scientists and ensuring their successful deployment on Azure. You'll also monitor these models for performance and make necessary adjustments
