Data Platform Engineer

hace 5 días

Barcelona, Barcelona, España Omya Industries A tiempo completo

About Omya Industries

Omya Industries is a leading global producer of industrial minerals and a worldwide distributor of specialty chemicals. Our company has a global presence with over 160 locations in more than 50 countries and employs 9,000 people.

Data and Analytics Office

The Data and Analytics Office is responsible for creating business value from data and strategizing with all business functions to support Omya's digital transformation. We define and implement a Data Strategy to drive the use of data scientists and analytics and leverage Artificial Intelligence across the business for additional value.

Job Summary

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.

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, including understanding AI models developed by data scientists and ensuring their successful deployment on Azure.

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