51 to 75 of 278 Metadata Jobs in England

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

to ensure the opportunities and impacts of new features are fully exploited and understood, and contribute to the creation, maintenance, promotion and use of metadata resources such as Data Dictionaries and Data Lineages. Proactively engage with the business regarding projects and ensure that Data principles are being adhered to, and More ❯

to ensure the opportunities and impacts of new features are fully exploited and understood, and contribute to the creation, maintenance, promotion and use of metadata resources such as Data Dictionaries and Data Lineages. Proactively engage with the business regarding projects and ensure that Data principles are being adhered to, and More ❯

of these investments to ensure they deliver expected outcomes and benefits. Deliver a cohesive Group Data Model to ensure consistent master data, reference data, metadata, and optimized data pipelines across processes and systems. Collaborate with market analysts, vendors, and partners to identify technological opportunities, and provide thought leadership on Data More ❯

of these investments to ensure they deliver expected outcomes and benefits. Deliver a cohesive Group Data Model to ensure consistent master data, reference data, metadata, and optimized data pipelines across processes and systems. Collaborate with market analysts, vendors, and partners to identify technological opportunities, and provide thought leadership on Data More ❯

of these investments to ensure they deliver expected outcomes and benefits. Deliver a cohesive Group Data Model to ensure consistent master data, reference data, metadata, and optimized data pipelines across processes and systems. Collaborate with market analysts, vendors, and partners to identify technological opportunities, and provide thought leadership on Data More ❯

of these investments to ensure they deliver expected outcomes and benefits. Deliver a cohesive Group Data Model to ensure consistent master data, reference data, metadata, and optimized data pipelines across processes and systems. Collaborate with market analysts, vendors, and partners to identify technological opportunities, and provide thought leadership on Data More ❯

of these investments to ensure they deliver expected outcomes and benefits. Deliver a cohesive Group Data Model to ensure consistent master data, reference data, metadata, and optimized data pipelines across processes and systems. Collaborate with market analysts, vendors, and partners to identify technological opportunities, and provide thought leadership on Data More ❯

management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and More ❯

validation and pipeline testing frameworks to ensure data reliability and accuracy. Design and execute test cases for ETL/ELT workflows, data transformations, and metadata-driven data pipelines . Validate platform engineering components , including infrastructure automation, CI/CD pipelines, and cloud-based data services . Collaborate closely with data More ❯

dimensional models in the gold layer built for analytical use. Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management. Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such More ❯

discussions. Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred qualifications: Expertise in configuring/customizing Collibra, data governance frameworks, metadata management, and data quality. Proficiency in SQL, databases (e.g., Oracle, SQL Server), and familiarity with data integration tools. Ability to translate business requirements into technical More ❯

creating data models and data flows in collaboration with the business and technical teams. Data Catalog: Assist in developing and maintaining data dictionaries and metadata repositories. Data Analysis: Analyze business data to identify opportunities for improvement. Stakeholder Communication: Serve as a point of contact between the data project team and More ❯

and Pandas. ·Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. ·Build processes supporting data transformation, data structures, metadata, dependency and workload management. ·Experience supporting and working with cross-functional teams in a dynamic environment. ·Strong communication skills to collaborate with remote teams (US More ❯

Technology, Cloud Data Warehouse, and Data Lake platforms. Expertise in Data Governance practices, including leading solutions for Data Quality, Data Profiling, Data Catalog, and Metadata management strategy. Ability to multitask and juggle several responsibilities simultaneously. Strong written and verbal communication skills. Excellent organizational skills and attention to detail. Experience crafting More ❯

Technology, Cloud Data Warehouse, and Data Lake platforms. Expertise in Data Governance practices, including leading solutions for Data Quality, Data Profiling, Data Catalog, and Metadata management strategy. Ability to multitask and juggle several responsibilities simultaneously. Strong written and verbal communication skills. Excellent organizational skills and attention to detail. Experience crafting More ❯

quality monitoring metrics and data quality rule creation. Operation and incremental build-out of the data platform using in-house and vendor data tools. Metadata analysis and data catalogue curation to support data discoverability. Day-to-day data subject matter expert support for the front office across various data sets. More ❯

quality monitoring metrics and data quality rule creation. Operation and incremental build-out of the data platform using in-house and vendor data tools. Metadata analysis and data catalogue curation to support data discoverability. Day-to-day data subject matter expert support for the front office across various data sets. More ❯

Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh Understanding of data management and governance concepts such as data quality, metadata management, etc. Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools Ability to implement data processing and transformation pipelines More ❯

/permissions are captured, ensuring compliance in implementation approach Working with the Analytics team to implement data segmentation strategies into marketing decisioning Ensuring that metadata in Sagas estate (e.g. website tagging) is of the right quality and value for decisioning in the business Helping teams get data to where it More ❯

Knowledge of GCP Kubernetes would be an advantage. Knowledge of data warehousing concepts with a good understanding of dimensional models. Experience in implementing a metadata framework for data ingestion, data quality, and ETL. Good communication skills and ability to manage IT stakeholders. More ❯

SQL. • Ability to interpret complex data requirements and architect solutions. • Experience with SAP Power Designer or a similar data modeling tool. • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. • Experience with Microsoft Azure Synapse is a plus. • Excellent presentation, communication (oral More ❯