1 to 25 of 166 Metadata Jobs in England

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate ...

Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation ...

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 ...

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 ...

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. ...

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 ...

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 ...

data warehousing best practices Familiarity with performance tuning and cost optimisation in Fabric or Azure Experience with Microsoft Purview or similar tools for metadata and governance Awareness of NHS data reporting practices and privacy considerations (e.g. pseudonymisation) Use of infrastructure-as-code or deployment scripting tools in data projects Disclosure ...

Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models Strong Python and PySpark development capability Solid SQL skills for warehouse development and metadata layers Proven ownership of production data systems end-to-end Wider Azure data platform experience (e.g. Synapse, Databricks) CI/CD pipelines within Azure ...

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 ...

Integrator (ODI) Oracle Fusion Data Intelligence (FDI) Governance & Data Quality Ensure data quality, integrity, and compliance with governance frameworks Define and maintain: Data lineage Metadata Architecture documentation Align with regulatory standards (e.g. GDPR, SOX) Collaboration & Delivery Work closely with: Functional teams Enterprise architects DBAs and infrastructure teams Support reporting ...

Governance: Produce clear documentation describing pipeline behaviour, data flows, dependencies, and operational expectations. Maintain structured coding practices, version control discipline, and consistent naming/metadata standards. Contribute to internal templates, reusable components, and acceleration assets. Practice Support & Collaboration: Work closely with peers and senior engineers to adopt best-practice engineering ...

data storage and compute services Data Mesh & Domain Ownership Support domain-oriented data product development in partnership with business teams Promote standards for naming, metadata, documentation, and discoverability Enable decentralised data ownership while maintaining consistency Experience Proven experience as a Data Engineer in a modern cloud data environment Strong ...

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 ...

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 ...

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 ...

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 ...

Support the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectives Analyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcement Collaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable ...

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 ...

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 ...

access controls. • Ensure platforms are designed for performance, scalability, reliability, and security. Data Governance, Quality & Compliance • Implement frameworks for data quality, lineage, observability, and metadata management. • Ensure compliance with security, privacy, and regulatory requirements across all data platforms. • Oversee remediation of data quality issues within BAU operations. Change & Delivery • Accountable ...

Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines What you’ll do Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power ...

feature engineering, explainability, auditability and regulatory compliance Partnering with Data Science to ensure data is fit for modelling, prediction and monitoring Driving documentation, lineage, metadata and governance adoption across teams What They're Looking For Proven experience designing data architectures and data models in complex, regulated environments, financial services experience ...

data concepts into clear requirements, delivery plans, and consumable documentation for technical & non-technical partners. Experience with data product management principles, including data modelling, metadata management, data quality, and lifecycle governance. Experience with data governance, privacy, and regulatory obligations relevant to enterprise data use. Strong partner management skills with ...

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 ...