26 to 50 of 65 Metadata Management Jobs in the UK excluding London

and other enterprise database platforms Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing More ❯

and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based and operates on More ❯

and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based and operates on More ❯

positive difference to the lives of our clients, customers, colleagues, shareholders, and society. We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent. Aberdeen comprises three businesses, interactive investor (ii), Investments, and Adviser … market, through either public markets or alternative asset classes. About the Department As an Engineer (Data Platforms), you will be a member of the Development Chapter within the Asset Management Tribe, reporting to the Development Chapter Lead and working as part of a cross-functional team. You will contribute to the design, development, and support of systems that are … and pipelines that underpin our investment data products. These products are central to many of the initiatives within the Tribe and are used across the organisation to support portfolio management, analytics, and regulatory reporting. As such, we are looking for engineers who can hit the ground running - with the ability to quickly understand investment data, navigate complex data flows More ❯

expertise. They offer a structured and professional environment, providing employees with opportunities to contribute to impactful projects in a collaborative setting. Description Deep expertise in data governance, data quality, metadata management, profiling, analysis, and related data management tools. Lead the implementation of data governance across Risk and Finance domains, ensuring alignment with BCBS239 regulatory standards. Accountable for … end-to-end ownership of data definition, lineage, and governance for prioritised use cases. Oversee business data requirement changes, ensuring effective execution of change and release management across data domains. Contribute to meeting regulatory obligations by establishing processes that ensure the delivery of accurate, complete, timely, and reliable data. Partner with divisional stakeholders to develop and implement data standards … data quality, data profiling, and analysis. In-depth working knowledge of BCBS239 gained through experience in Tier 1 and Tier 2 banking environments. Skilled in communicating effectively with senior management, including board-level stakeholders. Proficient in interpreting complex data structures and performing advanced calculations across Risk and Finance functions. Comprehensive understanding of the Risk and Finance data domains, along More ❯

policies. Qualifications & Experience • Working knowledge of data architecture and implementation of governed data solutions using Microsoft Purview, Azure, Databricks, Python, DevOps, Unity Catalogue, Data Factory, and RDBMSs. Experience with metadata management, lineage tracking, and automation tools for governance workflows. • Experience in designing and maintaining end-to-end data architectures, including OLTP and OLAP models, ETL pipelines, data lakes … orchestration frameworks, and reporting platforms. Exposure to CI/CD pipelines and monitoring practices in data engineering. • Ability to apply best practices in data lifecycle management, covering ingestion, transformation, reporting, archival, and decommissioning. Familiarity with data quality frameworks and secure data handling protocols. • Good understanding or strong interest in supporting data governance programs using frameworks like DAMA DMBOK and … internal governance strategies. Experience implementing governance controls in regulated sectors such as banking, reinsurance, or insurance. • Ability to ensure secure data management by applying information security principles and working with relevant technology stacks, including data encryption and key vault management. Strong understanding of data privacy regulations and international standards. • Ability to collaborate on audit and risk management efforts More ❯

principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security best practices. Excellent problem-solving, communication, and collaboration skills. Organisation: Initial Contract - 3-6 months Day Rate - Outside IR35 London (Hybrid working) Robert Half More ❯

engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day - an extra day to give back to yourself or your community Cycle-to More ❯

experienced Collibra Developer/Collibra Technical SME to join a major enterprise data governance programme. This role focuses on designing, building and optimising solutions across the Collibra platform, supporting metadata management, data lineage and reference data capabilities. You will work closely with data owners, stewards and technology teams to ensure the Collibra environment runs efficiently, delivers high-quality … metadata, and integrates seamlessly with the wider data ecosystem. Key Responsibilities Design and configure Collibra operating models, domains, communities and asset types Develop Collibra workflows using BPMN, Groovy and Java APIs Implement metadata ingestion, lineage integrations and custom API/SDK automation Configure and support Collibra Edge, metadata harvesting and ingestion pipelines Integrate Collibra with ETL/… SQL skills and experience with major databases (Oracle, PostgreSQL, DB2, BigQuery) Experience with ETL/ELT tools (e.g., Informatica, DataStage) and BI tools (Qlik, Power BI) Good understanding of metadata standards, lineage, reference data and business glossaries Exposure to cloud environments (AWS, GCP, Azure) Desirable Collibra Ranger/Expert certification Experience delivering Collibra solutions in large, complex organisations If More ❯

design authority, providing architectural assurance across data and AI domains within the programme Lead integration and interoperability strategy between enterprise platforms (e.g., ServiceNow, Microsoft Fabric, Azure) Drive adoption of metadata management, lineage, and governance tooling, such as Microsoft Purview Align architecture with operational use cases to deliver measurable improvements in service delivery and analytics Requirements Essential: Proven experience … Microsoft Fabric and/or Databricks in operational or data platforms Demonstrated ability to integrate AI components (e.g., ML pipelines, predictive analytics) into production environments Familiarity with enterprise service management tooling, particularly ServiceNow In‐depth knowledge of metadata, lineage, governance, and data security frameworks Strong communication and stakeholder engagement skills across technical and non‐technical audiences Desirable: Experience More ❯

data quality , including profiling, cleansing, monitoring, and remediation strategies. Provide architectural guidance on MDM platform selection , cloud vs. on-prem deployment , and integration patterns (API, ETL, messaging). Support metadata management , lineage tracking , and compliance initiatives. Hands-on experience with more than one MDM technology/platform (eg, Riversand, Informatica MDM, Semarchy, TIBCO EBX, Reltio). Excellent communication … and stakeholder management skills. Experience in multi-domain MDM (Customer, Supplier, Location, etc.) is a strong plus. Knowledge of cloud platforms (Azure, AWS, GCP) and data Lakehouse architectures. More ❯

relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance and quality monitoring. Implement lineage tracking, metadata management, and compliance with governance standards. Partner with data scientists, economists, and technical teams to translate requirements into solutions. Communicate effectively with technical and non-technical audiences. Participate More ❯

Data Modelling Consultant Location: London (3 days per week onsite) Salary: £50,000 - £65,000 + benefits The Company Join a global management consultancy known for delivering large-scale data and digital transformation projects across financial services, capital markets, and energy. You will be part of a collaborative, fast-growing Data Architecture practice that helps some of the world … frameworks and solutions that support analytics, BI, and machine learning initiatives. You will collaborate closely with senior data architects and engineers to create logical and physical data models, define metadata standards, and support end-to-end data migration and integration projects. Key Responsibilities Develop and maintain conceptual, logical, and physical data models Work with stakeholders to gather and interpret … data requirements Support metadata management, documentation, and governance activities Contribute to ETL design and data movement between systems Gain hands-on experience with modelling tools such as ERWin, Sparx, or RSA Your Skills and Experience 2-4 years of experience in data modelling or data architecture Exposure to relational and dimensional modelling (3NF, star, snowflake) Strong SQL and 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 ❯

development teams. Key Responsibilities Requirements Gathering: Collect, analyse, and document business needs from stakeholders. Translation of Requirements: Convert business objectives into detailed technical specifications for Adobe AEM teams. Content Management Support: Assist in defining taxonomy, metadata standards, publishing workflows, and content authoring processes. Required Skills & Experience Core AEM Knowledge: Solid understanding of AEM architecture, components, templates, and workflows. … Platform Expertise: Hands-on experience with AEM Sites, Assets, Forms, and Brand Portal setup. Content Management: Strong familiarity with content structures, metadata management, and digital asset workflows. Technical Fundamentals: Working knowledge of HTML, CSS, JavaScript, and data analysis tools. What We’re Looking For A proactive communicator who can collaborate across business and technical teams. Someone who More ❯

understanding, support large-scale data migrations, and deliver best-practice modelling solutions aligned to industry standards. What You'll Do Conduct business analysis to define data requirements and support metadata management Design and deliver conceptual, logical, and physical data models for complex data programmes Identify data entities and relationships and map source-to-target transformations Support data governance … grasp of data modelling layers and standards (conceptual, logical, physical) Familiarity with financial reference models such as fpML, FIX, or FIBO Skilled in data model documentation, stakeholder engagement, and metadata practices Understanding of RDBMS, UML, JSON/XML schemas, and project lifecycles (Agile preferred) Bonus Points For Hands-on experience with data modelling tools such as Erwin, Sparx, Visual … working with ontologies and knowledge of RDF/OWL/TTL Exposure to Python or SQL scripting in support of data model design Knowledge of data governance and enterprise metadata integration strategies Background in working on regulatory or compliance-related data transformation initiatives Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a More ❯

modelling, architecture, or database design Proficiency with modelling tools such as ERwin, PowerDesigner, or similar Strong understanding of relational and NoSQL data structures Familiarity with data governance frameworks and metadata management Experience working with cloud data platforms and modern data ecosystems Excellent communication and stakeholder engagement skills Desirable Skills: Experience with API schema design and OpenAPI specifications Working More ❯

and AI to support proactive and informed decision making. • Promote data product thinking by designing reusable, modular data assets that serve cross functional business needs and accelerate delivery. • Drive metadata management and data lineage practices to improve data discoverability, trust and compliance. • Tailor analytical approaches to the care sector's specific needs, including safeguarding, compliance, operational efficiency and More ❯

team as you solve challenging problems together. Experience across UK Healthcare sector or Public Sector Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware of best practice techniques More ❯

team as you solve challenging problems together. Experience across UK Healthcare sector or Public Sector Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware of best practice techniques More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is 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. Influence and inspire stakeholders at all levels, both technical and non-technical, to embed data quality into every initiative. What You'll Bring Proven experience in Data Quality Management and enterprise tooling (MS Purview). Strong understanding of data governance frameworks, metadata management, and master data principles. Ability to identify data issues, perform root cause analysis More ❯

data. Influence and inspire stakeholders at all levels, both technical and non-technical, to embed data quality into every initiative. What You'll Bring Proven experience in Data Quality Management and enterprise tooling (MS Purview). Strong understanding of data governance frameworks, metadata management, and master data principles. Ability to identify data issues, perform root cause analysis More ❯