51 to 75 of 120 Metadata Management Jobs in the UK

existing data and analytics platforms and tools. You will contribute in pre-sales and design, implement scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, and provide delivery oversight. Here's how you'll contribute: Senior Data consultant at Zensar participates in end to end … a non-technical audience Proven record in creating low level solution designs aligned with the high-level architecture and principles. Experience with a variety of modern data design and management tools, e.g., ER_Studio, Collibra, Precisely, OneTrust Experience in MDM/DQM/Data Governance technologies like Collibra, Atacama, Alation, Reltio Experience with the modern data, analytics and business … meet business objectives. Experience handling multiple projects and priorities, managing timescales and delivery across a virtual, technical, cross-functional team Robust knowledge of GDPR and likely implications on data management Experience operating with an engineering, agile and devops mindset. Technical expertise with Git, Jira, etc. 3-5 years of experience working for Insurance organisations in UK is a must 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 ❯

with enterprise data strategy. Oversee and manage the integration of Snowflake with a cloud platform. This includes using various available services or introducing new ones to enhance data flow, management, and storage. Showcase our platform's adherence to DCAM standards across multiple domains, such as data ingestion, transformation, cataloguing, and lineage tracking, to demonstrate our growing maturity in these … optimise resource utilisation, and ensure scalable and budget-conscious data processing workflows. Provide architectural oversight for platform enhancements, integrations, and performance optimisation. Champion best practices in data architecture, including metadata management, data quality, and access control. Engage with stakeholders across business and technology to understand requirements and translate them into scalable platform capabilities. Support the onboarding of new … needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight More ❯

business stakeholders to shape and deliver the long-term vision for enterprise-grade data architecture. Key Responsibilities Design and implement scalable database solutions, conceptual and logical data models, and metadata-driven pipelines Own the full data lifecycle from initial design and ingestion to governance and performance optimisation Lead architectural direction across the platform, helping the business move from legacy … Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments Proven experience as a Data Architect or Lead Data Engineer in enterprise or complex environments Strong ability 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 ❯

skills. Preferred Qualifications: Cloud certification (Azure Data Engineer, AWS Certified Database Specialty, etc.). Familiarity with NoSQL or NewSQL databases (MongoDB, Cassandra). Experience with data governance, MDM, and metadata management tools. Working knowledge of DevOps tools (Terraform, Git, Jenkins). 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 ❯

delivery of secure, scalable cloud data solutions, aligning with business and compliance needs. Key Responsibilities Design, build, and maintain cloud-native data pipelines (Azure/GCP) Implement scalable data management frameworks: observability, validation, lineage Translate business needs into effective technical prototypes and solutions Collaborate with stakeholders, data teams, and service partners Ensure data security, governance, and regulatory compliance Monitor … Purview, GCP Data Catalog) Knowledge of GDPR, HIPAA, RBAC, encryption, and auditing Insurance data familiarity: placements, claims, policies, underwriting Effective stakeholder communication and delivery focus Strong project and time management in fast-paced environments Desirable Tools and Tech Power BI, Tableau, Looker, Domo Data governance and metadata management tools DevOps for data workflows, hybrid/multi-cloud More ❯

teams to evangelize development & adoption to accelerate platform strategy Drive key decisions around architecture, build vs. buy, open-source, technical debt, data governance, and investment priorities. Represent our Process Management, Data and AI strategy to executive stakeholders, customers, partners, and industry as needed. Technical Leadership Build & own common AI frameworks, AI platform and infrastructure components and multi agent architecture … and implementation a unified data platform from ingestion, processing through transformation pipelines leveraging Databricks Delta Lake Drive adoption of modern data stack for core platform, orchestration, streaming, data quality, metadata management, monitoring and governance Ensure platform scalability, reliability, and performance to support rapidly growing usage while solving for ease of adoption by customer & internal teams Recruit, grow, and More ❯

its growing Data Capability. The ideal candidate is a professional with experience in designing, developing, validating and communicating enterprise data solutions using Snowflake. Deep experience in developing enterprise data management strategies including data lake/warehouse implementations, data movement, data services, data acquisition, data conversion, and archive/recovery. What will you do? Lead as a hands-on architect … in Snowflake and acted as lead data architect on at least two Snowflake implementations. Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh. Understanding data management and governance concepts such as data quality, metadata management, etc. Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools Experience in 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 ❯

across an organisation? This role is perfect for someone whos already made their mark in enterprise data architecture and is ready to take things further. If youve worked with metadata, master data, and data modellingand youre excited to help a business make smarter decisions through better datayoull thrive here. Whether youre based in London, York or Norwich, youll be … Were looking for a Data Architect who specialises in Information Architecture . Youll design and govern how data is structured, understood and flows across Aviva. Youll help us manage metadata, master and reference data, and ensure our data assets speak a common language. This role sits within our Architecture team and supports both operational and analytical data needsmaking sure … Skills and experience were looking for: Experience designing enterprise-wide information and data models, using organisational and industry standards and leveraging relevant tools and techniques. Strong knowledge of data management disciplines at a strategicas well as operational capacity, including experience in metadata management, data governance, and master/reference data management. Ability to articulate and illustrate abstract 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 ❯

with enterprise standards. Your Profile: Proven experience as a Data Architect or Data Modeller in the insurance or financial services domain. Strong understanding of data governance, data lineage, and metadata management. Hands-on experience with data modelling tools (e.g., Erwin, PowerDesigner). Familiarity with hyperscalers and modern data platforms (e.g., Databricks, Snowflake). Ability to articulate complex technical concepts 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 ❯

range Direct message the job poster from La Fosse As a Data Architect, you will play a critical role in shaping enterprise-wide data solutions and ensuring effective data management across the entire lifecycle from capture to consumption. You will collaborate with IT teams, project managers, and business stakeholders to define solution architectures aligned with the enterprise data strategy. … help define and promote architectural standards that support scalable, secure, and integrated data platforms across the organisation. Key Responsibilities Define solution architectures for data warehouse, master/reference data management, and integration. Contribute to the development of a Reference Data Architecture and related artefacts. Support the standardisation of enterprise data management processes and documentation. Collaborate with business and … domains. Define and help implement data asset inventory and classification processes. Contribute to the assessment and documentation of the existing enterprise data landscape. Provide architectural guidance on Master Data Management (MDM), metadata, and data governance initiatives. Design and assess data flow processes, dependencies, and integration points. Lead architectural input to feasibility studies, PoCs, and system pilots for modern 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. … you to discuss Triad and the position. If shortlisted, you will be invited for: A Technical interview with our Lead Data Architect 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 ❯

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. … you to discuss Triad and the position. If shortlisted, you will be invited for: A Technical interview with our Lead Data Architect 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 ❯

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. … you to discuss Triad and the position. If shortlisted, you will be invited for: A Technical interview with our Lead Data Architect 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 ❯

aligned to frameworks such as TOGAF or Zachman. Key Responsibilities Design and implement hybrid data architectures (cloud and on-prem) to support business strategy. Lead data governance initiatives, including metadata management, data quality, and policy enforcement. Identify and address areas of technical debt within data systems, driving long-term sustainability and agility. Collaborate with cross-functional teams to More ❯