The Senior Azure Data Engineer creates the overall structure and workflow of a software solution and is responsible for leading and/or handling the development of one to multiple components. The Senior Azure Data Engineer will work with an Architect and Manager to build the appropriate solution to support the application. The Senior Azure Data Engineer works in an Agile team in a multi-technology environment and contributes to the development, maintenance, and enhancement of business applications. Collaborates with Business Analysts, key stakeholders, other IT professionals to define detailed customer requirements and system interfaces, assess available technology, and develop and present technologies. Recommends and supports technical coding standards and practices. Stays current on emerging technologies. Key Responsibilities: • Design, develop, and maintain data pipelines using Azure Data Factory. • Build and optimize data solutions using Azure SQL / SQL Server and related Azure data services. • Implement CI/CD pipelines for data engineering workloads using Azure DevOps or similar tools. • Perform data modeling to support analytics, reporting, and downstream consumption. • Ensure data quality, performance, scalability, and reliability across pipelines. • Collaborate with architects, analysts, and application teams to integrate data solutions. • Support deployments, monitoring, troubleshooting, and production support activities. • Follow enterprise security, governance, and compliance standards. • Collaborate with Business Stakeholders, Business Analysts and other IT groups to help define and recommend software solutions that are scalable, maintainable and efficient to achieve/exceed the expectations of the business unit. Required Skills: • Strong hands-on experience with Azure Data Factory. • Solid experience with SQL and relational databases (Azure SQL / SQL Server). • Experience working in Microsoft Azure cloud environments. • Hands-on experience building and deploying CI/CD pipelines for data workflows. • Strong understanding of data modeling concepts (dimensional and relational). • Experience with version control and Agile delivery practices. • Excellent written and oral communication • Strong organization/time management • Strong analytical and problem solving • Ability to grasp and apply new information quickly • Ability to work/motivate team members as well as being able to work independently • Shows flexibility and attention to details • Strong desire for continuous improvement • Ability to handle ever increasing responsibility and assignments with growing complexity • Shows initiative on assignments, and professionally executes projects with little direction • Ability to be creative and innovative • Strong problem-solving and analytical skills • Ability to work independently and as part of a team • Well-organized, disciplined work habits • Ability to manage and complete multiple, concurrent tasks • Availability to occasionally work late evening and weekends as needed. Preferred Skills: • Exposure to other Azure data services (Synapse, Databricks, Data Lake). • Experience with stream data using Azure Event Hubs. • Experience supporting analytics or reporting platforms and building dashboards using PowerBI. • Familiarity with data governance and data quality frameworks. Education/Experience: • College degree preferred, high school diploma required. • 3+ years using of experience and in using tools listed above US Work Authorization required. Markel does not provide visa sponsorship for this position, now or in the future. The base salary offered for the successful candidate will be based on compensable factors such as job-relevant education, job-relevant experience, training, licensure, demonstrated competencies, geographic location, and other factors.