1 to 25 of 2,024 Metadata Jobs in England

logical, and physical data models to support the enterprise data strategy. Data Strategy and Governance: Define and implement data management strategies, including data governance, metadata management, and data quality controls. Database and Cloud Technologies: Select appropriate database solutions (SQL, NoSQL, Data Lakes) and cloud platforms (AWS, Azure, Google Cloud) to More ❯

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

Design and implement robust ETL processes to integrate data from various sources into the data warehouse and big data platforms. Oversee the management of metadata, master data, and data lineage across systems. Ensure data consistency, accuracy, and availability for business users. Performance Optimization: Monitor and optimize the performance of data More ❯

solutions; Build reconciliation processes to ensure data consistency across systems; Implement data lineage tracking for key data elements; Support data governance initiatives by implementing metadata management; Create data quality metrics and dashboards for continuous monitoring. Infrastructure & DevOps Implement infrastructure-as-code for data platform components; Build CI/CD pipelines More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate More ❯

platform conceptual, logical and physical models. Proficient in leading small teams of architects/data modellers. Demonstrate a good understanding of data integration tools, metadata repository tools and their use. Appreciation and awareness of the latest concepts around Big Data and its application in Analytics architectures and solutions. A good More ❯

on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance More ❯

engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems More ❯

Azure Data Engineer, AWS Certified Database Specialty, etc.). Familiarity with NoSQL or NewSQL databases (MongoDB, Cassandra). Experience with data governance, MDM, and metadata management tools. Working knowledge of DevOps tools (Terraform, Git, Jenkins). #J-18808-Ljbffr More ❯

Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). More ❯

BigQuery, Dataflow, Informatica, or IBM DataStage, supporting both real-time and batch data processing. Governance & Data Quality Management: Establish comprehensive data governance frameworks, including metadata management and quality assurance, using platforms like Unity Catalog, Alation, Profisee, or DQ Pro. Strategic Advisory & Stakeholder Engagement: Serve as a strategic partner to executive More ❯

analytics. ETL/ELT pipeline development and optimisation to support large-scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Deep expertise in Microsoft Azure cloud services, particularly for data analytics and engineering Databricks, including Delta More ❯

data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute, and pipeline strategies. Provide governance support by defining metadata, lineage, and documentation for critical data assets. Evaluate and introduce modeling best practices, tools, and automation to increase model reuse, version control, and deployment efficiency. More ❯

strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Strong experience in SQL Good understanding of Azure infrastructure (Subscriptions/Resource Groups, Virtual Networks More ❯