Be an essential element to a brighter future. We work together to transform essential resources into critical ingredients for mobility, energy, connectivity and health. Join our values-led organization committed to building a more resilient world with people and planet in mind. Our core values are the foundation that make us successful for ourselves, our customers and the planet. Job DescriptionOverviewAs an Azure Enterprise Analytics Data Engineer, you will play a key role in designing, building, and optimizing data pipelines and analytics solutions on the Microsoft Azure platform. You will collaborate with cross-functional teams to transform business requirements into scalable data solutions, ensuring data integrity, performance, and accessibility.Key ResponsibilitiesDesign and implement scalable data pipelines and analytics solutions using Azure services.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.Develop and maintain data models, ETL processes, and data integration workflows.Ensure data quality, governance, and security across all analytics platforms.Create interactive dashboards and visualizations to support business decision-making.Optimize performance of data systems and troubleshoot issues as needed.Contribute to the development and deployment of machine learning models and statistical analyses.Participate in version-controlled development workflows and collaborative analytics projects.QualificationsBachelor’s degree in Computer Science, Data Science, Engineering, or a related field.3+ years of experience in data science, modeling, or programming (Python, MATLAB, R, C++, SQL, Java, etc.).3+ years of experience in data visualization tools (Plotly, Power BI, Tableau, Matplotlib, etc.).Strong understanding of statistical and machine learning methods.Hands-on experience with database and cloud platforms (Databricks, Spark, Microsoft SQL, SAP HANA, Microsoft Cloud).Experience with Azure Data Factory for orchestrating data workflows.Proficiency in Microsoft SQL Server for data storage and querying.Hands-on experience with Azure Data Lake for big data storage and analytics.Experience with Generative AI tools such as Azure OpenAI or Databricks Genie.Proficiency in front-end development technologies (HTML, CSS, JavaScript, Bootstrap, etc.).Experience with version-control systems (GitHub, etc.).Demonstrated…