101 to 125 of 219 Metadata Management Jobs in England

Develop: Contribute to the platforms architectural design and build integration, modelling, data persistence, and analytical systems.Data Pipelines: Implement, maintain, and test robust data pipelines.Metadata Management: Develop and manage metadata processes and tools.Performance Monitoring: Ensure the stability and performance of data pipelines.Data Quality: Implement tools for data curation, metadata management, and quality assurance.Collaboration: Engage with business and technology teams to align the platform with organizational goals.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence, National Security, Government ...

usable, trusted and aligned with front-office workflows. Partner with stakeholders to shape differentiated internal and client-facing data insights where appropriate. Stakeholder Management and Product Leadership Engage senior business stakeholders across Trading, Distribution, Structuring, Risk, Quants and Technology to understand data needs, business value and adoption barriers. … Modelling, Governance and Controls Work closely with technical and quant teams on domain data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements. Lead the design on data schemas, data storage, query apis and front to back information flows Provide product-owner challenge ...

delivery in three core areas which all work closely together: Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions … mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance , lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning ...

small core project team, you will lead the development of the programme's data improvement layer, establishing the standards, structures, policies and data management practices that support and connect all workstreams within the operating model redesign. This role is accountable for ensuring that data-related decisions made across … programme are aligned, consistent and technically robust and will provide expert guidance on data governance, data quality, data ownership, master data management and information architecture, ensuring that solutions are designed with long-term sustainability in mind beyond the life of the project. WHAT OUR DATA MANAGER WILL DO: Define ...

small core project team, you will lead the development of the programme's data improvement layer, establishing the standards, structures, policies and data management practices that support and connect all workstreams within the operating model redesign. This role is accountable for ensuring that data-related decisions made across … programme are aligned, consistent and technically robust and will provide expert guidance on data governance, data quality, data ownership, master data management and information architecture, ensuring that solutions are designed with long-term sustainability in mind beyond the life of the project. WHAT OUR DATA MANAGER WILL DO: Define ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing … metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments such as Databricks, Snowflake ...

regulatory considerations into scalable, production-ready AI architectures. Design and implement advanced GenAI solutions, including: Retrieval-Augmented Generation (RAG) Multi-Agent Systems Knowledge Management Platforms Enterprise Workflow Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such … data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution assurance across the full software development lifecycle, including architecture reviews, testing, deployment, monitoring, and optimisation. Facilitate client workshops and present ...

controlled and available to consumers across Vanguard globally. The role supports regulatory compliance, product development and oversight, investment stewardship, marketing and distribution, and investment management activities by managing ESG data operations, controls and exception processes. The analyst partners with internal stakeholders, data consumers and external suppliers to resolve data … data, manage operational risk and continuously improve ESG data processes and services. You will join a team of specialists responsible for the operational management of ESG investment data used across Vanguard globally. The team acquires, manages, controls and distributes ESG data and calculated ESG metrics that enable regulatory compliance ...

PLEASE NOTE: This role does not offer Relocation or Sponsorship. Applicants must be eligible to work in Jersey. Qualifications Implement data and information management operating standards such as data quality, data lifecycle management, meta data, and data privacy and protection as set out in the relevant data governance … procedures. Support the business in understanding how data is collected, stored, used and deleted using tools and methodologies to improve the adoption of information management and accountability. Experience Required : Experience in understanding data structures, data repositories, database types and how data moves between systems. Experience within the Standard Bank ...

asset servicing capabilities. Own the development and execution of the data delivery plan, including source data assessment, data mapping, transformation requirements, validation approach, defect management, reporting readiness, and operational handoff. Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion requirements. Drive … level mapping, calculation logic, timing, distribution requirements, and client sign-off. Oversee data profiling, gap analysis, field-level lineage, data quality assessment, reconciliation, exception management, and issue resolution. Define and manage data requirements for fund accounting, investor servicing, regulatory reporting, performance, alternatives administration, portfolio data, reference data, and client ...

## Blue Planet Data Management LeadPostulerlocations: London: UK- Reading-Regustime type: Full timeposted on: Publié aujourd'huijob requisition id: R031020As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers … foundation for data exchange, AI training, and digital twin deployment* Develop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage tracking* Translate data architecture vision into scalable, cloud-native and microservices-based implementations in collaboration with engineering teams* Define ...

. Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop apps, dashboards ...

stakeholders to enable self‐serve analytics and consumption. Good to Have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reporting. Personal Qualities High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal ...

architectural integrity rather than hands‐on coding. Ensuring Governance & Quality: Establish Strong Data Governance, partner with the Data Governance Manager to define schema management, metadata frameworks (e.g., OpenMetadata), and data quality controls, promoting data democratisation and self-service. Adhere to Security & Compliance by integrating information security standards ...

security, governance, RBAC, data sharing, performance optimization, and multi‐environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event‐driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/… Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

future of Asset & Wealth Management. Your expertise will empower teams to make informed decisions and deliver value to our clients. As an Asset & Wealth Management Index Data Owner, VP in the Index Product Team, you will execute critical data management activities that support strategic business and product objectives. … data delivery partners and consumers. Your leadership will help drive innovation and maintain high standards for data integrity and compliance. Job Responsibilities: Execute data management and data risk responsibilities across the entire data lifecycle Ensure responsible use, sharing, and protection of data, maintaining quality and reliability Define, describe ...

program leadership to ensure successful migration outcomes.Provide technical leadership, coaching, and mentoring to data analysts and project teams while promoting best practices in data management and governance.Stay current with emerging technologies including AI-assisted migration capabilities, SAP Business AI, SAP Joule, cloud data platforms, and modern data engineering practices.Cummins … clustered computing, IoT technologies, and Big Data ecosystems.To be successful in this role you will need the following:10+ years of experience in data management, data analysis, data quality, or SAP data migration.Proven experience delivering SAP data migration workstreams within large-scale SAP S/4HANA transformation programs.Strong understanding ...

with business, engineering, product, and architecture teams to build scalable data platforms and AI capabilities that drive measurable value while ensuring strong governance, risk management, and regulatory compliance. Key Responsibilities Programme Execution: Lead cross-functional delivery of complex Data & AI initiatives from concept through adoption. Strategic Alignment: Translate business … launch of enterprise data platforms, MLOps, AI-enabled features, and data quality frameworks. Governance & Risk: Ensure solutions comply with data privacy, security, AI risk management, and regulatory standards. Stakeholder Management: Act as a trusted advisor to executive leadership on execution priorities, investments, and performance metrics. Required Qualifications 7+ ...

Collaborate with analytics, data science, and machine learning teams to translate business requirements into high‐quality data assets. Contribute to data governance practices, including metadata management, lineage, and discoverability. What You’ll Work On A modern sportsbook data platform built on AWS, supporting both real‐time and batch … data assets powering trading analytics, risk monitoring, and customer personalisation models. Integration with semantic layers, BI tools, and machine learning platforms. Data governance and metadata tooling to improve transparency, trust, and reuse across the organisation. Your Experience 5+ years experience in data engineering, building and maintaining scalable data platforms. ...

data migration lifecycle-from initial discovery, inventory, and data mapping to complex transformation, execution, and final reconciliation. You will navigate complex data models, metadata, and large-scale relational structures, ensuring clean, fully validated, and seamless migration to modern cloud environments. Essential Criteria 8-10+ years of dedicated experience … Execution, and Post-migration Validation. Hands-on proficiency with Azure DevOps, Git, and modern CI/CD deployment practices. Deep understanding of data modeling, metadata management, and data lineage. Desirable Experience Experience migrating legacy systems into Azure or Microsoft Fabric . Prior background in Financial Services working ...

data migration lifecycle-from initial discovery, inventory, and data mapping to complex transformation, execution, and final reconciliation. You will navigate complex data models, metadata, and large-scale relational structures, ensuring clean, fully validated, and seamless migration to modern cloud environments. Essential Criteria 8-10+ years of dedicated experience … Execution, and Post-migration Validation. Hands-on proficiency with Azure DevOps, Git, and modern CI/CD deployment practices. Deep understanding of data modeling, metadata management, and data lineage. Desirable Experience Experience migrating legacy systems into Azure or Microsoft Fabric . Prior background in Financial Services working ...

integration services Enable high-quality data for client-facing products, reporting, artificial intelligence, machine learning and operational activities Co-author data governance practices covering metadata, data quality, lineage, privacy and compliance within Databricks Unity Catalog Review solution designs to ensure architectural alignment, reduce risk, eliminate duplication and maximise reusability … Azure cloud data platforms Experience supporting or managing long-term data migration projects between bespoke or legacy systems Knowledge of data governance, data quality, metadata management, lineage, privacy and compliance Excellent stakeholder engagement, communication and influencing skills Ability to assess emerging technologies and make informed architectural recommendations Experience ...

Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport. Role Overview … reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering and architecture. Qualifications ...

track.Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport.Role Overview:We are looking … analytical or historical reporting workloads.Experience with cloud-native data technologies or modern data platform tooling.Experience with Data Orchestration/ETL processes.Understanding of data governance, metadata management, data quality and data lineage practices.Awareness of AI-assisted tooling and its responsible use within data engineering and architecture.QualificationsNot essential ...