3 of 3 Permanent Metadata Jobs in Midlothian

management for utilities. Develop data integration pipelines that unify operational (OT), informational (IT), and external data sources (e.g., weather, traffic). Configure and manage metadata catalogs to ensure effective data governance, security, and compliance. Collaborate with business and IT teams to enhance data discovery, quality, and utilization across the enterprise. … related field. 3+ years of experience in data management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure ...

Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. … Data Management Associate Manager, you will be responsible for designing and implementing metadata management and data lineage solutions that support enterprise-wide data governance and transparency. The role requires you to design and architect enterprise data discovery and lineage solutions that solve client challenges and enable strategic data governance capabilities. ...

Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. … report on data health Lead end-to-end delivery of data quality initiatives, from requirements gathering to deployment and support Integrate DQ solutions with metadata repositories and data governance platforms Provide technical guidance and best practices for data profiling, cleansing, and validation Explore and apply AI-driven techniques (e.g., GenAI ...