23 of 23 Permanent Metadata Management Jobs in London

Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management. Job Title: Market Data Lead - Data Governance & Transformation Location: London, Cheapside Remuneration: 100,000 - 120,000 base plus benefits, perks, healthcare options and bonus! Note: Capital Markets experience … Data Lead to join our Data Governance & Transformation team. In this role, you will be responsible for managing and leading data governance initiatives for Market Data, ensuring robust data management processes across the organization. You will work closely with business, technology, and data stakeholders to drive excellence in metadata management, data quality, and data access governance. Key … Responsibilities: Lead the Market Data governance stream, bringing priority datasets under governance and implementing data management activities such as Metadata Management, Data Quality, and Data Access & Sharing. Collaborate with business SMEs, BAs, and Technology Leads to define and manage critical data assets, establish DQ rules, and ensure effective data access controls. Facilitate regular meetings with stakeholders to More ❯

Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management. Job Title: Market Data Lead - Data Governance & Transformation Location: London, Cheapside Remuneration: £100,000 - £120,000 base plus benefits, perks, healthcare options and bonus! Note: Capital Markets experience … Data Lead to join our Data Governance & Transformation team. In this role, you will be responsible for managing and leading data governance initiatives for Market Data, ensuring robust data management processes across the organization. You will work closely with business, technology, and data stakeholders to drive excellence in metadata management, data quality, and data access governance. Key … Responsibilities: Lead the Market Data governance stream, bringing priority datasets under governance and implementing data management activities such as Metadata Management, Data Quality, and Data Access & Sharing. Collaborate with business SMEs, BAs, and Technology Leads to define and manage critical data assets, establish DQ rules, and ensure effective data access controls. Facilitate regular meetings with stakeholders to More ❯

challenge of making their diverse data platforms deliver meaningful business value. You will help them achieve that by providing advisory and assurance services across a range of modern data management technologies, including Data Vault 2.0 architectures, Snowflake, Azure, AWS, Google BigQuery, and Databricks. Reporting to the Data and AI Consulting Manager, you will combine consulting experience, technical proficiency, and … Delivery Design, validate, and optimise Data Vault 2.0 architectures across Snowflake, Databricks, and BigQuery environments. Provide best-practice guidance on dbt modelling, testing frameworks, and macros. Define governance and metadata standards (naming, access, lineage, compliance) suited to regulated industries like higher education and retail. Recommend orchestration and deployment strategies using Azure Data Factory, AWS Glue, or similar tools, with … modern data orchestration tools (ADF, AWS Glue, Google Dataflow, or similar). Experience with BI and analytics platforms (Power BI, Tableau, Looker). Solid grasp of data governance and metadata management practices, including regulatory compliance (GDPR, PCI, etc.). Strong consulting, stakeholder management, and communication skills. Desirable Experience with at least two major cloud data platforms (Azure More ❯

Data Management Consultant Location: London Salary : Competitive salary package depending on experience Career Level: Consultant/Specialist, Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply … communities in which we work and live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Consultant to join our Data & AI Practice. As a Data Management Consultant, you will be responsible for designing and implementing Master Data Management (MDM) solutions that support … business and technical stakeholders to ensure that MDM strategies align with organizational goals and deliver measurable value. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data More ❯

Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of … this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

ASSISTANT VP DATA GOVERNANCE Permanent position - Hybrid with 4 working days on site.You must have banking experience and do not require sponsorship.Reporting to the data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of metadata, data lineage, data protection, data quality, data standards, and their policy … and monitoring their implementation to ensure all data standards are complied with and to achieve high data quality; to act as the 2LOD role for IT risks including Data Management Risk, Information Security Risk (including Cyber) and Technology Risk, be responsible for defining the relevant key controls, overseeing and challenging the effectiveness of control measures.Responsibilities: Develop Data Protection and … to the data governance program. Support all departments and business lines in making recommended changes, including helping to resolve any data related issues. Assist with various reports required by management, auditors or regulators. Carry out any ad hoc tasks assigned by the Head of Data and Process Management Office Participating in the lifecycle management of data, including More ❯

and reliability. What You Bring Essential Skills Java Development: 3–5 years of hands-on experience in Java development, particularly in data-intensive environments and building data products. Database Management: Background in managing both SQL and NoSQL databases. Version Control & CI/CD: Knowledge of version control (Git) and CI/CD practices for data pipeline deployment and Exposure … workflow/orchestration tools (e.g., Airflow, Dagster, Prefect). Cloud-based Data Services: Exposure to cloud-based data services (GCP preferred; AWS/Azure also considered). Data Lineage & Metadata Management: Understanding of best practices. Data Governance & Compliance: Awareness of data governance and compliance principles (GDPR, ISO27001). SaaS/API-driven Environments: Background in SaaS/API More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London - City (Hybrid - 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 - £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London - City (Hybrid - 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 - £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing 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 ❯

+ 10% bonus + exceptional benefits plus hybrid working to be based in London on a full-time basis (sponsorship approved).You’ll be responsible for delivering data management, AI assurance, and analytics audits , helping clients to design and embed strong data and AI governance frameworks. You’ll also lead the use of AI and analytics tools to automate … and enhance internal audit processes - improving efficiency, accuracy, and insight.This is an exciting opportunity for a proactive leader who thrives at the intersection of data, AI, and risk management , and wants to shape the future of audit within a fast-evolving digital landscape. Plan, lead, and deliver data management, AI, and analytics audits for clients across multiple sectors. … Provide advisory services - designing and implementing data and AI governance frameworks and practical, proportionate controls. Define and assure compliance against data and AI standards, including data quality, lineage, and metadata management. Help build and expand the data and internal audit practice , developing new propositions that meet client and market needs. Drive business development , building trusted client relationships and contributing 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 ❯

OPC UA, MQTT, REST. Design and manage data lakes, warehouses, and streaming platforms for predictive analytics, digital twins, and operational intelligence. Define and maintain asset hierarchies, semantic models, and metadata frameworks for contextualized industrial data. Implement CI/CD pipelines for data workflows and ensure lineage, observability, and compliance across environments. Collaborate with AI/ML teams to support … model training, deployment, and monitoring using MLOps frameworks. Establish and enforce data governance policies, stewardship models, and metadata management practices Monitor and improve data quality using rule-based profiling, anomaly detection, and GenAI-powered automation Support GenAI initiatives through data readiness, synthetic data generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue 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 ❯

The Role Job level: 10 Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible. Coordinate teams and set best practices and standards when … specialists. Problem-solving responsibility : Solves highly complex problems, balancing technical, user, business, and operational needs. Applies expert judgement to make decisions, manage risks, and guide teams through ambiguity. Change management requirements: Leads or co-leads significant change initiatives. Responsible for managing stakeholder expectations, supporting adoption, and embedding sustainable ways of working. Internal/External interactions: Acts as a trusted … products and support others to do the same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control, and infrastructure More ❯

architecture Strong background in Data Lakes, cloud-based data warehousing (eg Snowflake), and Big Data environments Proven success delivering scalable data architecture solutions across complex programmes Deep understanding of metadata management and advanced data modelling practices Experience with various modelling methodologies (3NF, Dimensional, Data Vault) Ability to translate business requirements into long-term architectural strategies Practical knowledge of 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 ❯

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 ❯

with business stakeholders, data architects, and domain experts to translate requirements into scalable data solutions, ensuring alignment with governance and best practices. The position involves analysing data flows, embedding metadata management, and supporting both structured and semi-structured data, including JSON and XML. Proficiency with Sparx Enterprise Architect, Erwin, PowerDesigner, or Visual Paradigm is key, alongside familiarity with More ❯

solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to … complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys … and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding More ❯

Key Responsibilities Design, build and maintain data pipelines from multiple structured and unstructured sources Cleanse, organise and model data for advanced analytics and reporting Develop data glossaries and manage metadata for internal and client-facing use Implement and administer knowledge frameworks to connect and enrich data assets Build dashboards and reports to surface insights for business and client stakeholders … Collaborate with cross-functional teams to deliver scalable, data-driven solutions Requirements Hands-on experience with data engineering and analytics tools Strong understanding of data management, modelling, and integration practices Experience with APIs and connectors for data sourcing Analytical mindset with attention to detail and problem-solving ability Comfortable working in a collaborative, high-growth environment Prior exposure to More ❯