101 to 125 of 152 Metadata Management Jobs in the UK excluding London

Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as More ❯

procedures, and Azure Synapse for data processing. Guide the team on best practices, architecture, and documentation standards. Engage with stakeholders to ensure solutions are aligned with business needs. Integrate metadata sourcing from Collibra and support model curation using tools like Tabular Editor. Participate in agile ceremonies, code reviews, and solution design reviews. Required Skills & Experience: 10+ years of experience … engineering, BI, or data architecture roles. Strong expertise in Azure Synapse, ADF, SQL, and Power BI. Proven experience in designing and implementing dimensional models and semantic layers. Familiarity with metadata management tools (e.g., Collibra) and model curation tools (e.g., Tabular Editor). Excellent communication and stakeholder management skills. Experience working in agile environments and leading technical teams. More ❯

be inside IR35 Required Skills 10+ years of experience in Investment Banking Operations or Security Services (Custody/Asset Servicing/Fund Accounting). Proven expertise in Reference Data Management and Master Data within large-scale data transformation programs. Strong understanding of instrument data, client hierarchies, and account structures across asset classes (Equities, Fixed Income, Derivatives). Experience with … data governance tools and reference data platforms Familiarity with data modelling, lineage, and metadata management principles. Ability to interpret and translate operational requirements into data management and technology solutions. Excellent stakeholder management, documentation, and communication skills – able to bridge Operations and Technology teams. If you are interested in this position, please apply or send your updated More ❯

be inside IR35 Required Skills 10+ years of experience in Investment Banking Operations or Security Services (Custody/Asset Servicing/Fund Accounting). Proven expertise in Reference Data Management and Master Data within large-scale data transformation programs. Strong understanding of instrument data, client hierarchies, and account structures across asset classes (Equities, Fixed Income, Derivatives). Experience with … data governance tools and reference data platforms Familiarity with data modelling, lineage, and metadata management principles. Ability to interpret and translate operational requirements into data management and technology solutions. Excellent stakeholder management, documentation, and communication skills – able to bridge Operations and Technology teams. If you are interested in this position, please apply or send your updated More ❯

be inside IR35 Required Skills 10+ years of experience in Investment Banking Operations or Security Services (Custody/Asset Servicing/Fund Accounting). Proven expertise in Reference Data Management and Master Data within large-scale data transformation programs. Strong understanding of instrument data, client hierarchies, and account structures across asset classes (Equities, Fixed Income, Derivatives). Experience with … data governance tools and reference data platforms Familiarity with data modelling, lineage, and metadata management principles. Ability to interpret and translate operational requirements into data management and technology solutions. Excellent stakeholder management, documentation, and communication skills – able to bridge Operations and Technology teams. If you are interested in this position, please apply or send your updated More ❯

be inside IR35 Required Skills 10+ years of experience in Investment Banking Operations or Security Services (Custody/Asset Servicing/Fund Accounting). Proven expertise in Reference Data Management and Master Data within large-scale data transformation programs. Strong understanding of instrument data, client hierarchies, and account structures across asset classes (Equities, Fixed Income, Derivatives). Experience with … data governance tools and reference data platforms Familiarity with data modelling, lineage, and metadata management principles. Ability to interpret and translate operational requirements into data management and technology solutions. Excellent stakeholder management, documentation, and communication skills – able to bridge Operations and Technology teams. If you are interested in this position, please apply or send your updated More ❯

to surface key insights and performance indicators. Work with business and technical teams to define data rules, metrics, and KPIs aligned to governance strategies. Integrate data quality tooling with metadata, lineage, and governance platforms to enhance visibility and traceability. Support efforts to define and align reference data taxonomies and consumption models across business functions. About You 6+ years’ experience … in data management, analytics, or governance roles, ideally within financial services. In-depth understanding of data quality, metadata management, and lineage frameworks. Hands-on experience with enterprise data tools such as Collibra, Solidatus, Talend, or Ataccama. Excellent communication and stakeholder management skills, able to translate technical detail into business context. Proven ability to lead delivery teams More ❯

to surface key insights and performance indicators. Work with business and technical teams to define data rules, metrics, and KPIs aligned to governance strategies. Integrate data quality tooling with metadata, lineage, and governance platforms to enhance visibility and traceability. Support efforts to define and align reference data taxonomies and consumption models across business functions. About You 6+ years’ experience … in data management, analytics, or governance roles, ideally within financial services. In-depth understanding of data quality, metadata management, and lineage frameworks. Hands-on experience with enterprise data tools such as Collibra, Solidatus, Talend, or Ataccama. Excellent communication and stakeholder management skills, able to translate technical detail into business context. Proven ability to lead delivery teams More ❯

Partnered with one of the UKs largest Housing providers enabling safe and affordable housing for thousands of people countrywide, who are searching for a Permanent Data Management Manager who'll be responsible for spearheading the setup of the Data Management function and leading a small existing team of Data specialists and enabling improved business decision making. Scope of … play a key role defining Data Governance strategy and frameworks. Ensure Data quality and integrity as well as develop and oversee data quality metrics and KPIs. Manage and oversee Metadata Management practises tools and master data management. Enable a strong Data culture across the business and ensuring Data quality measures and targets and ensuring integrity of Data. Experience More ❯

experience across - TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data More ❯

technology teams to embed sustainable, scalable, and compliant data practices . Key Responsibilities Define, implement, and maintain data governance policies, processes, and reporting structures . Facilitate governance initiatives, including metadata management, stewardship, and ownership models . Design and deliver reporting frameworks that track data quality, risk, and control metrics. Collaborate with client stakeholders to promote data literacy and … embed governance roles across functions. Lead the selection, design, and rollout of governance, quality, and reporting tooling solutions . About You Strong track record in data governance and management within financial services. Deep understanding of metadata, lineage, stewardship, and data ownership frameworks . Experienced in developing and deploying governance and quality reporting frameworks . Excellent communicator capable of … Knowledge of key regulatory requirements such as BCBS-239, GDPR, or Consumer Duty . Experience integrating reporting dashboards with governance and quality metrics. Professional certifications in data governance, risk management, or related methodologies . Why Apply? This is a unique opportunity to take ownership of data governance and reporting initiatives at a consultancy that delivers impactful data solutions for More ❯

analysts, and stakeholders to enhance data accessibility and reliability. Take part in architecture and design discussions, ensuring solutions are scalable, testable, and well-documented. Improve data ingestion, orchestration, and metadata systems to support a growing analytics platform. Offer technical insight and second/third-line support on complex data issues. What You’ll Need 6+ years of professional software … Proficiency in SQL (both transactional and analytical use cases). Experience working with data lakes, ETL frameworks, and orchestration tools such as Airflow. Familiarity with streaming systems (Kafka) and metadata management tools. Solid knowledge of cloud environments (AWS preferred) and Kubernetes. Understanding of DevOps, CI/CD, and infrastructure as code. A proactive, inquisitive approach who enjoys solving More ❯

analysts, and stakeholders to enhance data accessibility and reliability. Take part in architecture and design discussions, ensuring solutions are scalable, testable, and well-documented. Improve data ingestion, orchestration, and metadata systems to support a growing analytics platform. Offer technical insight and second/third-line support on complex data issues. What You’ll Need 6+ years of professional software … Proficiency in SQL (both transactional and analytical use cases). Experience working with data lakes, ETL frameworks, and orchestration tools such as Airflow. Familiarity with streaming systems (Kafka) and metadata management tools. Solid knowledge of cloud environments (AWS preferred) and Kubernetes. Understanding of DevOps, CI/CD, and infrastructure as code. A proactive, inquisitive approach who enjoys solving More ❯

analysts, and stakeholders to enhance data accessibility and reliability. Take part in architecture and design discussions, ensuring solutions are scalable, testable, and well-documented. Improve data ingestion, orchestration, and metadata systems to support a growing analytics platform. Offer technical insight and second/third-line support on complex data issues. What You’ll Need 6+ years of professional software … Proficiency in SQL (both transactional and analytical use cases). Experience working with data lakes, ETL frameworks, and orchestration tools such as Airflow. Familiarity with streaming systems (Kafka) and metadata management tools. Solid knowledge of cloud environments (AWS preferred) and Kubernetes. Understanding of DevOps, CI/CD, and infrastructure as code. A proactive, inquisitive approach who enjoys solving 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 ❯

BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. Languages: English: C1 Advanced More ❯

BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. Languages: English: C1 Advanced More ❯

BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. Languages: English: C1 Advanced 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 ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills … Experience: - Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in More ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills … Experience: - Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in More ❯

clarity. Identify and resolve data quality issues and inconsistencies across large-scale environments. Key Skills: Teradata SQL, BTEQ, Data Mapping, Data Lineage, Data Modeling, Data Analysis, Data Quality, SQL, Metadata Management, Data Governance More ❯

aligning with client objectives in financial services. Build relationships at C-suite level by offering data-driven advisory on strategy, transformation roadmaps, and innovation opportunities. Define data governance frameworks, metadata management, and quality controls using a variety of platforms. Inspire and guide cross-functional global teams, ensuring best practices, knowledge sharing, and innovation are embedded in every engagement. More ❯

aligning with client objectives in financial services. Build relationships at C-suite level by offering data-driven advisory on strategy, transformation roadmaps, and innovation opportunities. Define data governance frameworks, metadata management, and quality controls using a variety of platforms. Inspire and guide cross-functional global teams, ensuring best practices, knowledge sharing, and innovation are embedded in every engagement. More ❯

aligning with client objectives in financial services. Build relationships at C-suite level by offering data-driven advisory on strategy, transformation roadmaps, and innovation opportunities. Define data governance frameworks, metadata management, and quality controls using a variety of platforms. Inspire and guide cross-functional global teams, ensuring best practices, knowledge sharing, and innovation are embedded in every engagement. More ❯