26 to 50 of 241 Metadata Jobs in England

engagement, and ensure alignment across business, IT, compliance, and security teams. Establish data quality metrics, rules, and monitoring mechanisms across cloud data pipelines and lakehouses. Champion the use of metadata management, data catalogs (e.g., Azure Purview, Unity Catalog), and standardized business glossaries. Provide governance oversight for data sharing and consumption in Databricks notebooks, Power BI reports, and machine learning workflows. More ❯

and efficiency. Design and govern data architecture and integration standards across Azure Data Factory and Databricks to enable integrated analytics solutions. Support Munich Re's pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics, and R&D, in close alignment with business functions and enterprise information management. Manage the Information More ❯

principles of data modelling Re-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, data for analytics and business More ❯

implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. More ❯

etc. Conceptual and Logical design of the Data & Analytics Platform; together with experience of data repository consolidation and end user computing Supporting Data Governance colleagues in areas such as metadata management, data lineage, data audits and general data quality improvement Experience of implementing Master Data Management approaches and tooling Selection of external systems/services with a data component - in More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

policies, underwriting Effective stakeholder communication and delivery focus Strong project and time management in fast-paced environments Desirable Tools and Tech Power BI, Tableau, Looker, Domo Data governance and metadata management tools DevOps for data workflows, hybrid/multi-cloud architectures Monitoring and cost optimisation tools (Azure Monitor, GCP cost tools) Culture and Conduct Act as a role model for More ❯

skills. Preferred Qualifications: Cloud certification (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). More ❯

and AI developments Design for multi-tenancy and workload isolation between BI and research environments.BI and operational reporting Establish data architecture patterns for bronze/silver/gold layers, metadata management, and schema evolution. Build and maintain CI/CD workflows, job orchestration (e.g. Databricks Workflows or Airflow), and cluster management policies. Lead performance tuning, cost optimisation, and observability across More ❯

and delivering modern data platforms at scale Familiar with TOGAF and other enterprise architecture frameworks Experience and knowledge of data governance, data quality, and data cataloguing Knowledge of master, metadata and reference data management An understanding of Agile working practices and sprint based methodology Capable of actively contributing to knowledge sharing Desirable Knowledge, Skills and Experience: Knowledge of genomics Experience More ❯

and implementation a unified data platform from ingestion, processing through transformation pipelines leveraging Databricks Delta Lake Drive adoption of modern data stack for core platform, orchestration, streaming, data quality, metadata management, monitoring and governance Ensure platform scalability, reliability, and performance to support rapidly growing usage while solving for ease of adoption by customer & internal teams Recruit, grow, and lead exceptional More ❯

client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on the latest technologies and industry trends, leveraging insights to shape innovative solutions More ❯

understanding of the trade and portfolio management lifecycle, operations, compliance, risk, and attribution reporting. Demonstrated experience in data management, including DQ value, processes, tools, and related activities (data governance, metadata, data standards, data aggregation). A collaborative, team-oriented mindset with a passion for continuous learning and innovation. Experience presenting to and influencing executive-level stakeholders and contributing to enterprise More ❯

aligned to frameworks such as TOGAF or Zachman. Key Responsibilities Design and implement hybrid data architectures (cloud and on-prem) to support business strategy. Lead data governance initiatives, including metadata management, data quality, and policy enforcement. Identify and address areas of technical debt within data systems, driving long-term sustainability and agility. Collaborate with cross-functional teams to define and More ❯

per week to collaborate with your team and business stakeholders. As part of a transformative project leveraging Microsoft Fabric, you'll lead the design and implementation of a scalable, metadata-driven Medallion architecture. You'll work closely with cross-functional teams to deliver robust, trusted, and timely data solutions that power advanced analytics and business intelligence. What You'll Do More ❯

per week to collaborate with your team and business stakeholders. As part of a transformative project leveraging Microsoft Fabric, you'll lead the design and implementation of a scalable, metadata-driven Medallion architecture. You'll work closely with cross-functional teams to deliver robust, trusted, and timely data solutions that power advanced analytics and business intelligence. What You'll Do More ❯

per week to collaborate with your team and business stakeholders. As part of a transformative project leveraging Microsoft Fabric, you'll lead the design and implementation of a scalable, metadata-driven Medallion architecture. You'll work closely with cross-functional teams to deliver robust, trusted, and timely data solutions that power advanced analytics and business intelligence. What You'll Do More ❯

per week to collaborate with your team and business stakeholders. As part of a transformative project leveraging Microsoft Fabric, you'll lead the design and implementation of a scalable, metadata-driven Medallion architecture. You'll work closely with cross-functional teams to deliver robust, trusted, and timely data solutions that power advanced analytics and business intelligence. What You'll Do More ❯

data management, covering one or more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies and metadata management Strong problem solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that allow you build credibility with More ❯

with enterprise standards. Your Profile: Proven experience as a Data Architect or Data Modeller in the insurance or financial services domain. Strong understanding of data governance, data lineage, and metadata management. Hands-on experience with data modelling tools (e.g., Erwin, PowerDesigner). Familiarity with hyperscalers and modern data platforms (e.g., Databricks, Snowflake). Ability to articulate complex technical concepts clearly More ❯

Looking For Required: 5+ years in a Pre-sales or Solutions Engineering role, ideally in a data-driven software environment Deep understanding of Data Management disciplines, especially Data Governance, Metadata Management, and Data Lineage Exceptional communication skills - able to connect with technical and non-technical audiences, adapt quickly, and tell compelling stories Track record of running successful demos, Evaluations , and More ❯

existing data and analytics platforms and tools. You will contribute in pre-sales and design, implement scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, and provide delivery oversight. Here's how you'll contribute: Senior Data consultant at Zensar participates in end to end cycle from opportunity More ❯

tables, and scalability best practices It will also help you to have Experience establishing and enforcing data governance standards through technical architecture (not just documentation) Familiarity with data cataloging, metadata management, and observability tools A systems-thinking mindset-you understand the full data lifecycle and how to maintain integrity from source to dashboard At Booksy, we believe in the power More ❯

Azure data services Experience designing and implementing data pipelines, data lakes, and warehouses Strong knowledge of data governance, security, and compliance frameworks Experience with master data management (MDM) and metadata On Offer Our client is ideally looking to pay up to c£100k as a basic salary for the ideal individual, relevant to experience and qualifications. Higher offers may be More ❯