1 to 25 of 57 Permanent Metadata Jobs in London

data models, pipelines, and integration frameworks. Support the implementation of Customer Data Platforms (CDPs), MDM, and CRM systems. Ensure compliance with data governance, metadata standards, and data quality frameworks. Collaborate with stakeholders to define data architecture vision and roadmap. Contribute to the development of reusable architecture assets and design patterns. ...

Data Lake environments. - Architect data ingestion, ETL/ELT pipelines, and integration frameworks. - Drive data modeling (conceptual, logical, physical) using best practices. - Govern metadata, lineage, data security, and compliance frameworks. - Lead cloud-native data solutions on AWS (S3, Glue, Lambda, Redshift, IAM, VPC). - Collaborate with engineering teams to implement ...

warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice ...

data pipelines. Strong understanding of data governance, security, compliance, and best practices for managing enterprise data assets. Experience working with MDM, data cataloguing, or metadata management tools. Comfortable operating in a low data maturity environment and leading change through influence rather than authority. Excellent communication and stakeholder management skills, with ...

Responsibilities: Lead enterprise data architecture design across AWS, Azure, and GCP environments. Define target and transition architectures, standards, and reference models. Own data governance, metadata management, lineage, and master data strategies. Design data platforms including data lakes, lakehouse, and streaming architectures. Collaborate with engineering, security, and platform teams to ensure ...

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 ...

advanced statistical techniques. Familiarity with AI-enhanced analytics tools such as Copilot, AI Foundry, or Fabric-based AI services. Understanding of data governance, metadata management, and data quality best practices. Experience with statistical modelling, forecasting, or machine learning techniques. Relevant Microsoft certifications (Power BI, Fabric, or Data Analyst Associate). ...

implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with a track ...

product teams to deliver robust data solutions. Experience working with Terraform for infrastructure-as-code and automated deployment of cloud resources (desirable) Understanding of metadata based ingestion frameworks and data contracts (desirable) Person Specification A passionate data engineer with a history of driving his or her own technical and professional ...

Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge ...

Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills ...

Architecture & data modelling skills. Able to articulate the data vision and mission when engaging with internal & external clients. Proved experience in designing and implementing metadata management capabilities. Business mindset to understand organisation business capabilities. Experience in data harvesting and business catalogue tools. Understanding of data management concepts such as data ...

physical data models for insurance systems Ensure alignment with Lloyds market standards including Core Data Record CDR and Blueprint Two initiatives Develop data dictionaries metadata and governance frameworks Data Integration Transformation Collaborate with business analysts actuaries and IT teams to integrate data from multiple sources policy claims bordereaux exposure Optimize ...

Provide input and challenge to ensure data models are fit for purpose Data Governance Steering Drive strong data governance practices, including data ownership, stewardship, metadata management, and data sharing Ensure compliance with company policies and industry standards Agentic Strategy Prioritisation Prioritise both data access and tooling to support agentic strategies ...

services such as AWS, Azure or GCP, ensuring reliability, performance and compliance. A key responsibility is defining and maintaining content data standards, schemas and metadata structures, partnering with Solutions Architects to ensure all onboarding aligns with industry best practices. You'll champion best-practice patterns across API design, integration layers ...

real-time use cases. Architect secure, scalable, and cost-efficient cloud-native data solutions on Azure, leveraging Fabric-native capabilities. Embed data governance, lineage, metadata, and quality controls using Microsoft Purview and Fabric governance features. Define access control, security, and data privacy models aligned with enterprise and regulatory requirements (e.g. … experience in data migration and modernization from legacy DWH/BI platforms to Fabric or Azure-based platforms. Strong knowledge of data governance, lineage, metadata, and data quality frameworks. Ability to design secure, compliant enterprise data platforms in regulated environments. Excellent communication skills with demonstrated experience engaging senior stakeholders. ...

patterns. Quantify business impact and ROI to support prioritization and scaling decisions. 5) Governance, Risk & Compliance Alignment Ensure alignment with enterprise data governance, metadata, lineage and data quality standards. Embed regulatory and conduct-risk considerations (e.g., data privacy, auditability, model risk) into platform and solution design. Promote responsible … analytics pipelines. Solid understanding of AI/ML concepts, MLOps and integration of models into enterprise data platforms. Practical knowledge of data governance, metadata, lineage and data quality tooling in regulated environments. Demonstrated ability to translate architecture strategy into executable delivery patterns and influence senior stakeholders. Experience operating in Agile ...

models -Engage with stakeholders -Review forums and project delivery in line with company standards -Help with both internal system data design and lodging of metadata management behaviours YOUR SKILLS AND EXPERIENCE:The ideal candidate will have the following skills and experience: -Data modelling experience in financial services industry working with ...

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 ...

audit readiness; data retention/lineage requirements. Data Management Expertise : Canonical data modeling, shared contracts/APIs, event-driven and batch patterns, lineage/metadata, reference/master data, data quality controls. Governance Leadership : Design-pattern stewardship, control frameworks, standards enforcement, policy-to-implementation traceability. Communication & Stakeholder Management : Executive-level ...

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 Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. ...

data architecture function. What You’ll Do: Lead the design and rollout of enterprise-wide data models and standards. Define data frameworks, governance, and metadata strategies for large-scale transformations. Work closely with clients to identify opportunities for data modernisation and architecture improvement. Oversee multiple workstreams and mentor senior consultants ...

analyse LTV by campaign, source, or cohort. Engagement & Content Performance Deliver deep-dive insights on content consumption, recirculation, and recommendation logic. Analyse AI-driven metadata features (summaries, highlights, FAQs) and their impact on engagement. Partner with editorial teams to surface performance trends, scroll-depth patterns, and underperforming content. Acquisition, Retention ...

manual effort Designing and building internal tools such as: Lightweight GUIs for operational tasks Workflow automations for engineering and support teams Data enrichment or metadata tooling Prototyping quickly, validating with users, and iterating towards production-ready solutions Advising on model selection, cost vs performance trade-offs, and deployment considerations (cloud ...

Investigating data issues and providing clear, actionable insights Delivering core data management artefacts including: Data glossaries Data quality rules and controls Data lineage and metadata documentation Supporting data governance, records management and regulatory compliance (including GDPR) Essential Skills & Experience Data Analysis & Requirements Strong experience gathering and documenting business and technical … with unstructured data and records management tools (e.g. Microsoft Purview) Experience defining and enforcing data quality rules Experience implementing or maintaining data lineage and metadata solutions (e.g. Collibra, Solidatus) Strong understanding of regulatory and compliance requirements within financial services SQL & Reporting Strong SQL skills for data analysis, validation and reporting ...