14 of 14 Contract Metadata Management Jobs in London

programme. Key Responsibilities Lead technical architecture and solution design for data products and open data services Provide design leadership across a multi-disciplinary team Apply expertise in data cataloguing, metadata management, and open/licensed data portals Leverage understanding of AI developments to shape and enhance data services Work with open source tools and cloud infrastructure (AWS, Terraform … of 7-8 and a wider programme of 50 Essential Skills & Experience Proven experience with data products and open/licensed data portals Knowledge of data cataloguing systems and metadata management Familiarity with CKAN or similar platforms Strong solution architecture and technical design capabilities Experience leading multi-disciplinary teams Cloud and infrastructure experience (AWS, Terraform) Programming skills in More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and master/reference data initiatives. Support data quality and remediation efforts. Facilitate stakeholder workshops and build strong relationships with end users. Communicate effectively across More ❯

using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and master/reference data initiatives. Support data quality and remediation efforts. Facilitate stakeholder workshops and build strong relationships with end users. Communicate effectively across More ❯

data structures. Desirable: Experience working in a cloud-based or hybrid data environment. Background in regulated sectors or large-scale enterprise data integration. Familiarity with data governance frameworks and metadata management. More ❯

Responsibilities Design and build data products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within … metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently and to manage multiple data tasks in a fast-paced More ❯

Responsibilities Design and build data products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within … metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently and to manage multiple data tasks in a fast-paced More ❯

data governance across Risk and Finance domains. The rate is 500 inside IR35 and 3 days in office (London) Key Requirements: Strong experience in data governance, data quality, and metadata management Solid understanding of BCBS239 and regulatory reporting (e.g. LCR, COREP, PRA110) Exposure to Risk and Finance data domains Hands-on experience with tools like Collibra, SQL, Python More ❯

and procurement teams to identify duplicate parts and promote standardization. Interact with customer SMEs to ensure good understanding on their application landscapes, requirements & current challenges. Familiar with capabilities around metadata management, classification systems, part taxonomy, Should Cost assessments, Maintaining Product Score Card, Workflow Integrations to route to right engineer for reviewing the similar parts and take corrective actions More ❯

impactful solutions, we want to hear from you. Key Responsibilities Design and implement scalable, secure, and efficient data architectures. Define and enforce data governance standards, including data quality and metadata management. Collaborate with stakeholders to align data solutions with business objectives. Oversee data integration, ETL/ELT processes, and pipeline orchestration. Optimize data storage solutions across relational, NoSQL, and … lakes). Hands-on experience with data integration patterns and ETL/ELT processes. Proficiency in AWS data platforms and services. Solid understanding of data governance principles (data quality, metadata, access control). Familiarity with big data technologies (Spark, Hadoop) and distributed computing. Advanced SQL skills and proficiency in at least one programming language (Python, Java). Additional Requirements More ❯

and spatial data using ArcGIS Pro and ArcGIS Online. * Administer and maintain ArcGIS Server, including restarts, performance monitoring, and troubleshooting. * Maintain and update spatial datasets, including polygon editing and metadata management. * Collaborate with service areas to deliver bespoke spatial data and mapping solutions. Essential experience & skills: * Strong practical experience using the ESRI ArcGIS suite (Pro, Enterprise, Online). * Proven … ability to manage, publish, and maintain spatial datasets and map services. * Experience with ArcGIS Server administration and system support. * Solid understanding of spatial data management and GIS principles. * Excellent communication and stakeholder engagement skills. Desirable experience & skills: * Experience working in a local government or public sector environment . * Knowledge of FME, SQL, or other data transformation tools. * Understanding of … data governance and metadata standards . Interviews will be held w/c 3/11/2025. Please contact me via for more information or to apply. More ❯