EQUALITY, DIVERSITY, AND INCLUSION

We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute.

• Serve as the technical escalation point for data management support, ensuring timely and effective resolution of complex data-related issues.
• Maintain, monitor, and improve data management systems, ensuring compliance with governance policies and regulatory requirements.
• Support the implementation of data quality frameworks, data lifecycle management, and metadata management initiatives.
• Work collaboratively with IT teams, business stakeholders, and external vendors to enhance data management capabilities.
• Provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms,, such as Azure SQL databases, Fabric Warehouse and Onelake, Databricks, and Azure Data Factory.
• Document technical solutions, best practices, and knowledge base articles to facilitate effective knowledge transfer and continuous improvement.
• Diagnose and resolve data-related incidents and problems escalated from Level 1 and Level 2 support teams.
• Perform advanced database administration, including indexing, query tuning, backup and recovery, and security management.
• Support data integration processes (ETL, API connections) and troubleshoot failures in Azure data pipelines.
• Implement and maintain data governance standards, ensuring data accuracy, completeness, and consistency through the use of tools such as Azure Purview and SAP datasphere.
• Provide technical support for enterprise data management tools, including data catalogues, data lakes, and master data management solutions.
• Conduct regular audits to ensure compliance with data governance policies and standards.
• Support incident management and change management processes related to data management.
• Train and mentor Level 1 and Level 2 support teams to enhance their data management capabilities