1 to 25 of 52 Metadata Management Jobs in London

designing scalable, high-performance data architectures on Azure and Databricks ? Do you thrive on solving complex data challenges, integrating modern data platforms, and defining best practices for enterprise data management? We are looking for a Data Architect to lead the design and implementation of cutting-edge data solutions in a cloud-native environment. You will play a key role … in shaping data strategy, designing high-level and low-level architectures , and ensuring the seamless integration of data management tools. If you enjoy working with big data technologies, governance frameworks, and modern analytics platforms , this role is for you! Key Responsibilities Design and architect scalable, secure, and cost-effective Azure Databricks solutions for business and analytical workloads. Translate business … into high-level and low-level solution designs , ensuring alignment with best practices. Define and implement enterprise data governance, security, and compliance strategies. Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery Data governance frameworks for policy More ❯

Database Developer London-based | Hybrid (3 days in-office) | Full-time Postgres SQL Metadata management Data Exchanges Digital Service Digital Supply chain Digital Distribution PL Sql (Procedural SQL) scripts We’re an independent, creative company looking for a talented Database Developer to join our London-based technology team. You’ll help maintain and evolve a custom-built, business … functions Support testing and ongoing improvements to the data platform Monitor performance and implement iterative enhancements Work closely with business users to understand and interpret data needs Postgres SQL Metadata management Data Exchanges Digital Service Digital Supply chain Digital Distribution PL Sql (Procedural SQL) scripts You’ll Bring 5+ years' experience in SQL/database development A passion … skills in Git (or similar) and experience with release/version control Bonus Points Experience in data-heavy creative or media industries Passion for the arts Familiarity with structured metadata standards (e.g., DDEX ERN or RDR) Experience with PostgreSQL , AWS RDS , and S3 Perks & Benefits 25 days holiday , plus bank holidays and a Christmas office closure 6% employer pension More ❯

role centred on managing and ensuring the integrity of Commercial data across various platforms and compliance with legal standards like GDPR. Key responsibilities include implementing data quality rules, documenting metadata, integrating master data, and generating insightful reports. The candidate should have experience working with SQL, conducting comprehensive data analysis, and possesses skills in project delivery, data governance, and effective … communication. As the role is embedded within the Commercial department, experience in an airline or a similarly strategic business environment is a significant advantage. JOB ACCOUNTABILITIES Data Quality Management: •Develop and implement Data Quality rules. •Monitor data integrity using Data Quality tools. •Identify, report, and analyse Data Quality issues. Metadata Management: •Collect and document table and column … descriptions, business terms, KPIs. •Facilitate the integration of metadata into the Data Catalogue (tool implementation forthcoming). Master Data Management and Reference Data Management: •Gather master data and reference data. •Ensure integration with the Master Data Management tool. Data Compliance: •Ensuring that data management practices comply with relevant laws, regulations, and standards, such as GDPR More ❯

of eLearning modules with Articulate or Captivate. • Legal training experience a plus. • Advanced knowledge of Microsoft Office 2016 in addition to other relevant legal applications (time recording systems, expense management systems, metadata management systems, document comparison systems, workflow management systems, electronic signature systems, PDF converters). • Proficiency in iManage document management system applications (FileSite, iManage More ❯

integration of internal and external data sources (e.g., market prices, fundamentals, grid data, weather feeds) into centralized platforms. Deliver real-time, high-quality data to support trading decisions, risk management, and performance tracking. 2. Technical Leadership & Team Management Manage and mentor a team of data engineers, fostering technical excellence and continuous learning. Oversee code quality, architecture decisions, and … deployment practices across the team. Collaborate with the Global Head of Data to align engineering efforts with strategic priorities. Lifecycle Management : Overseeing data enrichment, update, and deletion processes, and ensuring documentation in enterprise catalogs 3. Business Collaboration Work closely with traders, quantitative analysts, and risk managers to understand data requirements and deliver fit-for-purpose solutions. Translate business needs … into technical specifications and ensure timely delivery of data products. 4. Data Quality & Governance Implement monitoring systems to ensure data accuracy, completeness, and timeliness. Support data governance initiatives, including metadata management, lineage tracking, and access controls. Ensure compliance with regulatory standards (e.g., REMIT, EMIR) and internal audit requirements. 5. Innovation & Continuous Improvement Evaluate and adopt new technologies (e.g. More ❯

and build CI/CD pipelines using Azure DevOps to automate deployment and monitoring of data solutions to all environments. Provide knowledge sharing to data operations teams on release management and maintenance. Manage platform administration, ensuring optimal performance, availability, and scalability of Azure data services. Implement end-to-end data pipelines, ensuring data quality, data integrity and data security. … control (RBAC), encryption, and compliance with industry standards. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Monitor and optimize Databricks performance, including cost management guidance and cluster tuning. Stay up to date with Azure cloud innovations and recommend improvements to existing architectures. Assist data analysts with technical input. You may also be required … managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best More ❯

responsible for managing company-wide data governance activities. Head of DG is responsible fordeveloping and implementing data governance policies, monitoring adherence to data standards, and providing guidance on data management practices. This role involves ensuring data quality, consistency, and security across entire organization. Understanding the Business Value of Data Governance: Demonstrating how data governance enhances data quality and supports … Key Responsibilities: Strategic Leadership: Develop and execute a comprehensive data governance strategy that aligns with the organization's goals and regulatory requirements. Policy Development: Provide guidance on data lifecycle management, data contract, data privacy, and data security. Establish and enforce data governance policies, standards, and procedures to ensure data quality, security, and compliance. Data Quality Management: Oversee data … data privacy and protection regulations such as SOX and GDPR by implementing robust data governance frameworks. Data Communities: Lead the data stewardship program, assigning roles and responsibilities for data management across the organization. Training and Awareness: Develop and deliver training programs to educate employees on data governance policies, procedures, and best practices. Performance Monitoring: Implement metrics and reporting mechanisms More ❯

life cycle. This includes complying with the data strategy and providing oversight and advice to other data architects who are undertaking the design of data models and supporting the management of metadata. The Senior Data Architect also provides guidance to other architects (such as Enterprise Architects and Solutions Architects) to make sure that organisation's systems are designed in … a Senior Data Architect, you will play a critical role in leading data architecture contributions to enable and standardise approaches to indexing data in the ONS, designing data and metadata standards for ONS outputs to enable our Content Management System and strategic API to serve the user needs, and supporting the design and delivery of the Enterprise Metadata Management Data Model capability. Responsibilities include, but are not limited to: Work across stakeholders, including data linkage experts to ensure data architecture plays a key role in the design of ONS indexing. Lead on data architecture contributions to support the design and development of the ONS Content Management System and API. Contribute to the design and delivery More ❯

meetings 2. Data Governance & Quality: Establish and enforce data governance policies, standards, and procedures Define data quality rules and implement processes for data validation and cleansing Design and implement metadata management strategies Architect secure data storage, access controls, and data privacy measures Develop and implement Master Data Management (MDM) strategies Partner closely with the Enterprise Architect, Integration … Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding of data requirements for machine learning, including feature stores, data versioning, and MLOps principles Familiarity with common retail data domains (e.g., customer, sales, inventory, product, supply chain More ❯

APIs, and machine learning models in coordination with DevOps teams. Define and embed best practices for data warehousing and Lakehouse architecture (e.g. Medallion). Standardise data development, modelling, and metadata management across the enterprise. Implement lineage tracking and orchestration tools to improve transparency and governance. Conduct code reviews, testing, and documentation to ensure quality and robustness of analytics … outputs. Take ownership of incident resolution and lead root cause analysis to ensure sustainable remediation. Enforce best practices for change control, release management, rollback planning, and deployment testing. Maintain high levels of internal client satisfaction by ensuring deliverables meet service level expectations. Ensure audit readiness through documentation, access control, and data lineage practices in line with regulatory standards. Manage … and technology partners providing analytics tools or support services. Undertake additional responsibilities as required to support the broader data strategy. Skills, Knowledge & Abilities Essential: Strong understanding of enterprise data management and governance principles. Proven experience delivering Business Intelligence (BI) solutions and dashboards to enable data-driven decisions. Experience designing relational and dimensional data models (e.g. star schema, snowflake, etc. More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to More ❯

Leadership Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI More ❯

Leadership Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI More ❯

data from SAP (e.g., S/4HANA, BW/4HANA) and non-SAP sources (e.g., cloud platforms, APIs, third-party systems). Establish and enforce data governance policies including metadata management, data lineage tracking, and access control to ensure data integrity and compliance. Optimize data pipelines and transformation logic using SAP Datasphere's capabilities to support real-time … validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products. Support product managers on lifecycle management for products and services considering business priorities, budget, current versions and risks. Responsible for the delivery of an Agile/DevSecOps Mindset across their portfolio including transformational initiatives. Your … Profile Essential Skills/Knowledge/Experience (Up to 10, Avoid repetition): 10+ years of experience in the SAP/Data Management ecosystem, with at least 3 years in SAP Datasphere. Strong understanding of cloud data architecture and analytics best practices. Proficiency in SAP Data Services, SAP HANA, SAP BW, Datasphere, and SAP Analytics Cloud. Experience in SAP Cloud More ❯

data from SAP (e.g., S/4HANA, BWS/4HANA) and non-SAP sources (e.g., cloud platforms, APIs, third-party systems). * Establish and enforce data governance policies including metadata management, data lineage tracking, and access control to ensure data integrity and compliance. * Optimize data pipelines and transformation logic using SAP SAC's capabilities to support real-time … tower. * Seek highly automated solutions and new approaches to work through partnership with Product Owner and/or Functional Experts on continuous improvement, evolution of the product and Lifecycle management * Work as Solution Architects translating Business requirements/EPICs into Technical designed solutions * Participate on new design for solutions, services and products together with Business stakeholders, Enterprise Architecture, Transformational … validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products * Support product managers on lifecycle management for products and services considering business priorities, budget, current versions and risks. * Responsible for the delivery of an Agile/DevSecOps Mindset across their portfolio including transformational initiatives Key More ❯

data from SAP (e.g., S/4HANA, BWS/4HANA) and non-SAP sources (e.g., cloud platforms, APIs, third-party systems). * Establish and enforce data governance policies including metadata management, data lineage tracking, and access control to ensure data integrity and compliance. * Optimize data pipelines and transformation logic using SAP Datasphere's capabilities to support real-time … tower. * Seek highly automated solutions and new approaches to work through partnership with Product Owner and/or Functional Experts on continuous improvement, evolution of the product and Lifecycle management * Work as Solution Architects translating Business requirements/EPICs into Technical designed solutions * Participate on new design for solutions, services and products together with Business stakeholders, Enterprise Architecture, Transformational … validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products * Support product managers on lifecycle management for products and services considering business priorities, budget, current versions and risks. * Responsible for the delivery of an Agile/DevSecOps Mindset across their portfolio including transformational initiatives Key More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

you shape and deliver AI assurance and data analytics audits, acting as a subject matter expert across diverse client engagements. Key Responsibilities: Lead and manage audit engagements covering data management, AI, and analytics, delivering assurance services to clients across multiple sectors. Provide expert advisory support, designing and implementing tailored data and AI governance frameworks to meet the unique needs … of each client. Develop and embed governance standards, including policies, controls, quality measures, data lineage, and metadata management. Contribute to the growth of the practice, helping to create new service offerings aligned with client demand, industry developments, legal requirements, and emerging technologies. Drive business development in the financial services sector, building strong client relationships and developing bespoke solutions that … address strategic needs. Key Requirements: Proven experience in data management, AI, and data analytics within an internal audit capacity in consultancy or financial services. Strong understanding and hands-on experience in; data management and governance frameworks, AI assurance, including data quality, data lineage, regulatory reporting, AI models, and metadata management Track record of driving sales and More ❯

seeking a skilled Technical Data Business Analyst to join the Digital Trading Analytics (dTA) portfolio. This position is ideal for candidates with a strong technical foundation in data analysis, management, and testing-especially within trading, market data, and analytics platforms. This role offers a unique opportunity to contribute to data-driven initiatives supporting trading and analytics use cases across … engagement capabilities. Nice to Have Familiarity with data visualization tools (e.g., Power BI, Tableau). Exposure to cloud platforms (e.g., Databricks , Snowflake ). Understanding of data governance , lineage , and metadata management . Experience with data cataloguing and quality frameworks . More ❯

that support business goals, including data warehousing, data lakes, and real-time data processing. Lead the evaluation, selection, and integration of new data technologies and tools to optimise data management processes. Support the development of data products, through robust architecture, data governance policies, ensuring data quality, integrity, security, and compliance with relevant regulations (GDPR). Lead a team to … development of data migration strategies to consolidate and centralise data from various sources into a single Platform for MRSG. Drive the adoption of best practices in data architecture, data management, and data lifecycle management. Provide leadership, mentorship, and guidance to the Data Office, Architects and Data Governance. Collaborate with cross-functional teams to develop data-driven insights, dashboards, and … etc. Conceptual and Logical design of the Data & Analytics Platform; together with experience of data repository consolidation and end user computing Supporting Data Governance colleagues in areas such as metadata management, data lineage, data audits and general data quality improvement Experience of implementing Master Data Management approaches and tooling Selection of external systems/services with a More ❯

as needed. What We're Looking For Required: 5+ years in a Pre-sales or Solutions Engineering role, ideally in a data-driven software environment Deep understanding of Data Management disciplines, especially Data Governance, Metadata Management, and Data Lineage Exceptional communication skills - able to connect with technical and non-technical audiences, adapt quickly, and tell compelling stories More ❯

cycle, supports them in becoming truly data-driven, and in turn solves complex industry challenges faced across a variety of sectors. Here, you will become a specialist in data management, with projects spanning data governance, data ethics, data quality and data architecture, through managing and delivering work streams that expose the true value of clients' data. Additionally, you'll … are keen to strengthen their team and hear from you. Get a head start on the competition, and apply here today. What You Need: Solid professional grounding in data management, covering one or more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies and metadata management Strong problem solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that allow you build credibility with clients Company: Graduate Recruitment Bureau (Hiring for client) Location: London, UK Salary Notes: £55-70K Course Notes: Any considered with a preference for STEM subjects Jobs related More ❯

EMEA BCBS239 Programme, where you will lead the implementation of data governance across Risk and Finance domains. You'll work with senior stakeholders to establish best-in-class data management practices, supporting our ambition to meet evolving regulatory requirements and embed a culture of openness, transparency, and data-driven innovation.As a subject matter expert, you'll help influence the … of BCBS239, risk and finance data structures, and data governance best practices Proven experience influencing and engaging senior stakeholders across complex organisations Strong working knowledge of data quality, profiling, metadata management, and governance tools (Collibra preferred) Analytical mindset with the ability to challenge constructively and solve problems creatively Experience working in Tier 1/Tier 2 banking, with … a solid grasp of regulatory expectations and enterprise data frameworks Confident communicator with excellent presentation and stakeholder management skills Proficiency in Excel, Visio, PowerPoint, and understanding of data models (physical, logical, business) Degree educated, ideally in a quantitative field, or equivalent industry experience Desirable skills: Experience in ECB onboarding, SQL, Python, Power BI/Tableau, or data engineering Exposure More ❯

/or Scala. * Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. * Familiarity with AI/ML concepts and their application in data analytics. * Experience with metadata management, data lineage tracking, and data cataloguing. * Knowledge of serverless data processing, event-driven architectures, and modern data stacks. In accordance with the Employment Agencies and Employment Businesses More ❯

models in cloud platforms (e.g., Azure, Databricks). Domain Expertise Understand and model data from platforms such as DV360, Meta, Amazon DSP, TikTok, IAS, Innovid, and others. Integrate campaign metadata, audience segments, impressions, clicks, conversions, and spend data. Align models with taxonomy standards and media KPIs. Stakeholder Collaboration Work closely with the head of architecture, media teams, activation teams … and analytics leads to capture requirements. Support data governance, cataloguing, and lifecycle management initiatives. Optimization & Reusability Ensure models support modularity, composability, and reusability across campaigns and markets. Enable downstream media use cases such as MMM, MTA, and real-time performance dashboards. Required 7+ years of experience in data modelling. Broader understanding of the CPG or consumer healthcare industry and … modelling, proficiency with modelling tools. Understanding of media buying platforms, ad servers, and campaign activation tools. Proficiency in SQL, data warehousing, and cloud data platforms. Experience with data governance, metadata management, and data quality frameworks. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to More ❯