17 of 17 Metadata Management Jobs in Central London

and data governance Implement data 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 technical concepts effectively More ❯

term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organization. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity … Catalog for metadata management and scalable data & analytics. Key responsibilities and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (“as-is”) and future (“to-be”) data architecture blueprints, ensuring alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing … for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments. Work More ❯

term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organisation. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity … Catalog for metadata management and scalable data & analytics. Key responsibilities Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (as-is) and future (to-be) data architecture blueprints, ensuring alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing for Azure Databricks … Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments. Work closely with business More ❯

performance data platforms in production environments. This role requires a deep understanding of modern data engineering practices, real-time processing, and cloud-native solutions. Key Responsibilities: Data Pipeline Development & Management: Design, implement, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, unstructured, and real-time data feeds from diverse sources. Manage data pipelines for analytics … hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML models. Maintain awareness More ❯

data models, and pipelines in Snowflake and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality More ❯

. Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with 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). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to More ❯

. The Ideal Candidate The ideal candidate will bring strong expertise in Data Analysis combined with a working knowledge of: Data Governance principles Data Migration Cloud Transformations Operational Risk management practices This unique blend of skills will enable the successful candidate to provide both analytical depth and governance oversight, supporting the delivery of a robust and compliant data environment. … Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse data quality issues , contributing to root … data governance, and data quality within Risk and Finance functions. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business More ❯

SQL Server) to cloud-native solutions. Ability to communicate complex technical concepts to senior business stakeholders , influencing decision-making and strategic direction. Deep knowledge of data modelling, data integration, metadata management, and governance frameworks. Experience working in agile, cross-functional teams in large enterprise environments. Familiarity with modern data stack tools and practices (e.g., dbt, Airflow, CI/ More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

Month Rolling A global IT consulting firm is seeking an experienced Informatica IDQ Administrator to support a leading financial services client as part of a business-critical data management programme. This is an excellent opportunity to work in a cutting-edge environment delivering enterprise-level data governance and quality solutions. Key Responsibilities: Installation, configuration, upgrade, and administration of Informatica … EDC, and Axon. Troubleshooting and technical support for IDQ, EDC, and Axon platforms. Manage data profiling, scorecard creation, reference tables, and data quality metrics. Implement Data Catalog, Data Lineage, Metadata Management, and Data Governance standards. Integration with enterprise systems including SSO, ServiceNow, and other third-party platforms. Performance tuning, capacity planning, and environment optimization. Collaborate with infrastructure teams … line utilities. Solid experience with AWS services (EC2, RDS, S3, Route 53, etc.). Expertise with Oracle and MS SQL Server databases. Demonstrated experience in enterprise data governance and metadata management. Ability to analyze and resolve complex technical issues. Strong stakeholder management and communication skills. Desirable: Informatica IDQ Developer/Admin certification. Experience with ETL, Active Directory integration More ❯

Principal Activities of role: Data Pipeline Development: • Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes. • Data Integration and Management: Integrate data from disparate sources, ensuring data quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data More ❯

our dynamic Go To Market team. Job Description: We are seeking a highly skilled and experienced Principal Sales Consultant where your expertise will shape our FTSE 250 clients’ Data Management programmes. You will demonstrate your experience in supporting them through business case development through to strategy execution using your expertise. The ideal candidate will have a strong background in … data management, governance frameworks, and regulatory compliance. This role requires a strategic thinker with excellent communication skills and the ability to drive differentiated data governance approaches across our clients. Key Responsibilities: Engage with new clients to understand their Data Management requirements Develop, advise and propose strategic Data Management Services for new and existing clients Ensure clients’ data … management programmes align with their business objectives Guide clients on a practical journey of delivering their strategic Data programmes Support clients’ in developing business cases to justify the required investments in Data Governance/data services Lead client engagements and bids within clients through collaboration with cross functional internal teams Stay up to date with assigned industry trends, technology More ❯

define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyze and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as JSON, XML, CSV More ❯

ETL/ELT using Matillion or similar tools. • Strong Python and SQL skills, with a good understanding of data formats • Demonstrated experience in designing data lakes, data pipelines, and metadata management. • Solid understanding of CI/CD pipelines, infrastructure automation, and agile delivery. • Background in consulting, including stakeholder engagement and client-facing delivery. • Proven success in responding to RFI More ❯

Records Management Specialist Location: London (2 days per week) Rate: £550 p/d Inside IR35 Inside IR35 Project Duration – 5 months initially Industry: Media, Broadcast Overview We are seeking an experienced Records Management SME to join our prestigious broadcasting client’s team.The specialist will work within the Records Management Programme and lead on the implementation of … records management functionality within our SharePoint environment, and investigate the tools (existing and new) that could be used to undertake a discovery exercise of where out of retention digital records are being stored, and investigate the approaches that could be used for deletion of out of retention digital records. Key Accountabilities : Serve as the Subject Matter Expert on best … practices for the implementation of Records Management functionality into SharePoint, and lead on the discovery work for identifying and deleting out of retention digital records. Review of current business requirements for implementation of records management functionality into SharePoint. Review of current business requirements for a scanning tool to be used for the discovery (and subsequent deletion) of out More ❯

like month-end and budgeting. Troubleshoot and amend member formulas and Business Rules using C# or VB.NET. Evaluate and propose system design changes to meet evolving business needs. Manage metadata updates including new accounts, entities, and reporting units. Provide third-line support, prioritising and resolving system issues. Document procedures to streamline support activities and enable handover to support teams. More ❯