26 to 50 of 70 Metadata Management Jobs in London

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 ❯

data platforms, governance, and service models to enable high-quality, trusted, and scalable data services for internal and external stakeholders. The successful candidate will combine deep expertise in data management with strong leadership, commercial acumen, and the ability to build high-performing teams. Responsibilities: Strategy & Leadership: Define and deliver the organisation’s Data Service Provider strategy, ensuring it supports …/DataOps practices. Governance & Compliance: Ensure compliance with data security, privacy, and regulatory frameworks (e.g., GDPR, DPA, ISO27001, NHS DSPT, FCA). Embed governance frameworks to assure data quality, metadata management, and lineage. Define and enforce policies for data usage, access controls, and retention. Stakeholder & Vendor Engagement: Engage senior stakeholders across business, technology, and policy to align data … platforms (AWS, Azure, GCP), and data integration/ETL pipelines. Proven track record of managing large, complex data programmes and services at scale. Strong knowledge of data governance, quality management, and regulatory compliance. Excellent leadership, stakeholder management, and influencing skills, with experience engaging at board/executive level. Commercial acumen with experience managing budgets, contracts, and vendor relationships. More ❯

data platforms, governance, and service models to enable high-quality, trusted, and scalable data services for internal and external stakeholders. The successful candidate will combine deep expertise in data management with strong leadership, commercial acumen, and the ability to build high-performing teams. Responsibilities: Strategy & Leadership: Define and deliver the organisation’s Data Service Provider strategy, ensuring it supports …/DataOps practices. Governance & Compliance: Ensure compliance with data security, privacy, and regulatory frameworks (e.g., GDPR, DPA, ISO27001, NHS DSPT, FCA). Embed governance frameworks to assure data quality, metadata management, and lineage. Define and enforce policies for data usage, access controls, and retention. Stakeholder & Vendor Engagement: Engage senior stakeholders across business, technology, and policy to align data … platforms (AWS, Azure, GCP), and data integration/ETL pipelines. Proven track record of managing large, complex data programmes and services at scale. Strong knowledge of data governance, quality management, and regulatory compliance. Excellent leadership, stakeholder management, and influencing skills, with experience engaging at board/executive level. Commercial acumen with experience managing budgets, contracts, and vendor relationships. More ❯

data platforms, governance, and service models to enable high-quality, trusted, and scalable data services for internal and external stakeholders. The successful candidate will combine deep expertise in data management with strong leadership, commercial acumen, and the ability to build high-performing teams. Responsibilities: Strategy & Leadership: Define and deliver the organisation’s Data Service Provider strategy, ensuring it supports …/DataOps practices. Governance & Compliance: Ensure compliance with data security, privacy, and regulatory frameworks (e.g., GDPR, DPA, ISO27001, NHS DSPT, FCA). Embed governance frameworks to assure data quality, metadata management, and lineage. Define and enforce policies for data usage, access controls, and retention. Stakeholder & Vendor Engagement: Engage senior stakeholders across business, technology, and policy to align data … platforms (AWS, Azure, GCP), and data integration/ETL pipelines. Proven track record of managing large, complex data programmes and services at scale. Strong knowledge of data governance, quality management, and regulatory compliance. Excellent leadership, stakeholder management, and influencing skills, with experience engaging at board/executive level. Commercial acumen with experience managing budgets, contracts, and vendor relationships. More ❯

data platforms, governance, and service models to enable high-quality, trusted, and scalable data services for internal and external stakeholders. The successful candidate will combine deep expertise in data management with strong leadership, commercial acumen, and the ability to build high-performing teams. Responsibilities: Strategy & Leadership: Define and deliver the organisation’s Data Service Provider strategy, ensuring it supports …/DataOps practices. Governance & Compliance: Ensure compliance with data security, privacy, and regulatory frameworks (e.g., GDPR, DPA, ISO27001, NHS DSPT, FCA). Embed governance frameworks to assure data quality, metadata management, and lineage. Define and enforce policies for data usage, access controls, and retention. Stakeholder & Vendor Engagement: Engage senior stakeholders across business, technology, and policy to align data … platforms (AWS, Azure, GCP), and data integration/ETL pipelines. Proven track record of managing large, complex data programmes and services at scale. Strong knowledge of data governance, quality management, and regulatory compliance. Excellent leadership, stakeholder management, and influencing skills, with experience engaging at board/executive level. Commercial acumen with experience managing budgets, contracts, and vendor relationships. 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 ❯

We are seeking an Analytical Data Engineer to join a leading Analytics as a Service (AaaS) provider, supporting clients across energy management, predictive maintenance, HR, and finance. You will transform complex data from multiple sources into actionable insights, creating user-friendly data models and dashboards that empower clients to explore their data independently. This client-facing role blends data … Analytical Data Engineer Job Requirements Essential 2-5 years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio More ❯

We are seeking an Analytical Data Engineer to join a leading Analytics as a Service (AaaS) provider, supporting clients across energy management, predictive maintenance, HR, and finance. You will transform complex data from multiple sources into actionable insights, creating user-friendly data models and dashboards that empower clients to explore their data independently. This client-facing role blends data … Analytical Data Engineer Job Requirements Essential 2-5 years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio 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 ❯

Spark (SQL, PySpark), Databricks Workflows Data Pipeline Design : Proven experience in scalable ETL/ELT development Azure Services : Data Lake, Blob Storage, Synapse Data Governance : Unity Catalog, access control, metadata management Performance Tuning : Partitioning, caching, Spark job optimization Cloud Architecture : Infrastructure-as-code, monitoring, automation Finance Domain Knowledge : Experience with financial systems and reporting Data Modelling : Kimball methodology More ❯

Spark (SQL, PySpark), Databricks Workflows Data Pipeline Design : Proven experience in scalable ETL/ELT development Azure Services : Data Lake, Blob Storage, Synapse Data Governance : Unity Catalog, access control, metadata management Performance Tuning : Partitioning, caching, Spark job optimization Cloud Architecture : Infrastructure-as-code, monitoring, automation Finance Domain Knowledge : Experience with financial systems and reporting Data Modelling : Kimball methodology 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 ❯

and business goals Collaborate with both technical and non-technical stakeholders to deliver data-driven solutions Translate business problems into effective data architecture and models Guide the development of metadata, standards, and data governance practices Lead data profiling and analysis to ensure clarity and usability for end users Promote innovation by identifying and integrating new tools and techniques Support … strategic planning through architecture insight and recommendations 5+ years of experience in data architecture, modelling, and governance Proficiency in designing and updating enterprise data models Experience with data profiling, metadata management, and data standards Strong communication skills for engaging across technical and non-technical teams Strategic thinking with a practical approach to problem-solving Ability to present insights More ❯

Deep, hands-on experience designing and building data warehouses with strong command of dimensional modeling (e.g., Kimball methodology) Expertise in Google Cloud Platform, especially BigQuery architecture, optimization, and cost management Advanced SQL skills and production-level experience using dbt (or similar tools) to build modular, testable transformation pipelines Practical mastery of LookML and semantic layer design within Looker, including … tables, and scalability best practices It will also help you to have Experience establishing and enforcing data governance standards through technical architecture (not just documentation) Familiarity with data cataloging, metadata management, and observability tools A systems-thinking mindset-you understand the full data lifecycle and how to maintain integrity from source to dashboard At Booksy, we believe in More ❯

engineering or backend software development Proficiency in Python or Java for data retrieval and pipeline development Experience with IaC tools such as Terraform or Ansible for deployment and infrastructure management Hands-on experience with; ETL/ELT orchestration and pipeline tools (Airflow, Airbyte, DBT, etc.) Data warehousing tools and platforms (Snowflake, Iceberg, etc.) SQL databases, particularly MySQL Desired Experience … based services, particularly AWS Proven ability to manage stakeholders, their expectations and explain complex problems or solutions in a manner suitable for the audience. Knowledge of data governance and metadata management Knowledge of data security best practices and compliance requirements Success Looks Like: Safely implement controls to enable self-service of Data for other teams such as Data More ❯

with modular, reusable, and efficient code in various languages. Development Lifecycle : Understanding of SDLC, CI/CD pipelines, and version control. Data Governance & Security : Knowledge of data security, governance, metadata management, and master data principles. Key Responsibilities: As a Senior Data Engineer, you'll bridge the gap between client needs and technical solutions, creating data pipelines that ingest … Tune data systems for performance, scalability, and monitoring. Data Security : Apply best practices for information security, including encryption and data anonymity for sensitive data assets. Data Governance & Quality : Manage metadata, data lineage, and data quality standards. If you're passionate about using data engineering and AI to solve complex problems in the Defence and Security sector, we'd love More ❯

processing frameworks. Extracting data and isolating data clusters. Testing scripts and analyzing results. Troubleshooting application bugs. Maintaining the security of company data. Training staff on application use Good project management and communication skills. Designing, creating, and maintaining Scala-based applications Participating in all architectural development tasks related to the application. Writing code in accordance with the app requirements Performing … team 12+ years of hands-on experience in variety of platform & data development roles 5+ years of experience in big data technology with experience ranging from platform architecture, data management, data architecture and application architecture High Proficiency working with Hadoop platform including Spark/Scala, Kafka, SparkSQL, HBase, Impala, Hive and HDFS in multi-tenant environments Solid base in … data technologies like warehousing, ETL, MDM, DQ, BI and analytical tools extensive experience in metadata management and data quality processes and tools Experience in full lifecycle architecture guidance Advanced analytical thinking and problem-solving skills Advanced knowledge of application, data and infrastructure architecture disciplines Understanding of architecture and design across all systems Demonstrated and strong experience in a More ❯

designing and implementing data architectures on AWS platforms. * Ability to create and present entity relationship diagrams, logical data models, and high-level architecture diagrams. * Familiarity with data modelling standards, metadata management, and data governance. * Knowledge of security, privacy, and compliance requirements within UK Government projects. * Proficiency with tools like Lucidchart, ER/Studio, Draw.io, or similar for diagramming. … discuss Triad and the position. If shortlisted, you will be invited for: 1. A Technical interview with our Lead Data Architect 2. An interview with a member of the Management Team, including a career review and cultural fit assessment. We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other More ❯

including domain-driven design and data mesh. Experience with relational, dimensional, and NoSQL data modeling. Familiarity with cloud data platforms (e.g., Snowflake, AWS, Databricks). Knowledge of data governance, metadata management, and data lineage. Excellent communication and documentation skills. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF More ❯