1 to 25 of 199 Metadata Jobs in the UK

technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk ...

heterogeneous migrations where applicable). Optimize performance of source and target systems pre- and post-migration. Manage and govern S3-based data lakes and metadata using Glue Data Catalog. Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization. Implement monitoring, rollback, and failure recovery mechanisms. Ensure adherence ...

coexistence, and centralised models. Data modelling (conceptual, logical, canonical models) Data quality frameworks (profiling, cleansing, validation rules) Matching & survivorship logic, entity resolution, hierarchy management Metadata management, reference data management, and stewardship workflows Strong proficiency with cloud-native data services (Azure Purview/ADF, AWS Glue/Lake Formation, GCP DataPlex ...

Desirable Criteria Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives. Familiarity with Apache Airflow, data modelling, and metadata management Experience influencing enterprise data strategy and contributing to architectural governance. To apply for this position please submit your CV. ...

deployment, and monitoring for data services 4. Data Quality & Governance Implement data validation, profiling, and quality checks Work with data governance teams to enforce metadata standards, lineage, and catalogs 5. Collaboration Collaborate with data engineers, BI teams, analysts, and product teams Translate business requirements into scalable data solutions Your Profile ...

databases (PostGIS, Oracle, SQL Server). Develop and optimize SQL queries for data extraction, validation, and reporting. Contribute to data modeling, schema updates, and metadata management. Required Skills & Experience 8 10 years of experience in GIS analysis, GIS-based business analysis, or spatial data engineering. Strong hands-on skills with ...

Data Quality, Testing & Governance Implement automated testing suites, data contracts, lineage, and monitoring frameworks. Partner with Data Governance to embed quality rules, SLAs, and metadata standards into pipelines. Resolve data quality issues proactively and own improvements to source-to-target data flows. Cross-Functional Collaboration Work with business areas ...

innovative, customer‐focused group of data engineers and specialists responsible for building trusted enterprise data foundations. We work across master data management, data quality, metadata management, data integration, and data warehousing, using tools such as SQL, SSIS, and Alteryx to deliver reliable, scalable data solutions. Partnering closely with our customers ...

innovative, customer‐focused group of data engineers and specialists responsible for building trusted enterprise data foundations. We work across master data management, data quality, metadata management, data integration, and data warehousing, using tools such as SQL, SSIS, and Alteryx to deliver reliable, scalable data solutions. Partnering closely with our customers ...

Design and maintain robust data models and data architecture structures. Ensure efficient data flow, integration, and accessibility across platforms. Develop and maintain data dictionaries, metadata frameworks, and governance models. Support compliance with data quality, security, and regulatory requirements. Oversee storage, archiving, and lifecycle management of data assets. Collaborate with technical ...

records/AUM, pricing, corporate actions, fees/NAV). Drive master and reference data strategies (clients, instruments, counterparties, legal entities) aligned to governance, metadata, privacy, and stewardship. Act as a subject matter expert, translating complex technical concepts into clear business value for senior stakeholders. What We’re Looking ...

engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems ...

with governance policies and regulatory standards Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security Develop and maintain data lineage, metadata and architecture documentation Support reporting and analytics initiatives by ensuring data availability and consistency across systems Assist in designing data integration using tools such ...

Snowflake) Ability to communicate technical concepts clearly to non-technical stakeholders Desirable: Experience with data visualisation tools (e.g. Power BI, Tableau) Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica) Exposure to AI/ML use cases in analytics Background in financial services or other regulated industries What ...

native data architectures covering ingestion, processing, storage, and consumption Translate business and analytical requirements into practical, scalable data solutions Support data governance practices including metadata, lineage, data quality checks, and access controls Work within hybrid environments (on-prem to cloud) and support modernization initiatives Understand and apply data mesh concepts ...

frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines. •Strong programming skills in PySpark, SQL, Python. •Experience implementing medallion architecture, delta lakes, and metadata‐driven pipelines. •Hands-on experience with DQ frameworks, validation rules and reconciliation logic. •Ability to integrate Azure/Fabric datasets with Power BI semantic models ...

between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively identifying and mitigating ...

Syndicate (MRSL) in a cross-functional team of architects from business and technology Create the design of Munich Re ́s pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise ...

reporting on progress of data governance, data quality controls and data quality issues to Data Steerco, and risk committees. Lead and define establishment of metadata management, involving data documentation (data structure, definitions, lineage, reports etc.), to create a data catalogue that provides all colleagues with a complete understanding and trust ...

against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders. Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust Partner closely with Data Scientists and Visualisation specialists to enable ...

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 ...

part of Integrated Financial Crime Programme This role will be producing design and support for POC build this year. Strong knowledge of data governance, metadata management, data quality, and data mesh concepts, with the ability to influence enterprise-wide adoption. Ability to communicate complex technical concepts clearly to senior leadership ...

technical teams Nice to have Experience with IAM/PAM tooling such as CyberArk, SailPoint, BeyondTrust or similar Exposure to data governance tooling, lineage, metadata or control frameworks Experience supporting production issues/operational processes Why apply This is a strong opportunity to work on a genuinely interesting programme where ...

looking for experience across the following areas: Data architecture Data platform design Data modelling, cataloguing and associated governance Data lakes, distributed storage Metadata management Experience with Snowflake is preferred Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles ...

Experiment Tracking & Model Registry Maintain and improve the MLflow-based experiment tracking and model registry infrastructure. Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking. Enable ML engineers to move seamlessly from experimentation to production deployment with minimal friction. Data & Model Versioning Implement and maintain training data ...