1 to 25 of 96 Metadata Jobs in the South East

capability. Data modelling expertise, including dimensional modelling and enterprise data concepts. Experience delivering business intelligence, dashboarding, and reporting solutions. Strong understanding of data governance, metadata management, lineage, and data quality principles. Cloud & Data Platforms Experience with one or more of: Microsoft Fabric Databricks Snowflake AWS Data Services Azure Data Services ...

analytics and visualisation tooling. Strong SQL and data analysis capabilities. Data platform migration or modernisation programmes. Business requirements gathering and workshop facilitation. Data governance, metadata management and data quality initiatives. Leading technical workstreams or managing delivery teams. Working within highly regulated or public sector environments. Experience with technologies such ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed ...

analysis and requirements gathering . Hands-on experience with Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial ...

applications. Experience with Power BI, QuickSight, or similar tools for analytics. Adherence to ETL/data management best practices (e.g., incremental loads, error handling, metadata logging). Knowledge of data protection regulations (GDPR, CCPA) and security protocols (encryption, RBAC). Agile/SCRUM practitioner with experience in offshore team collaboration. ...

applications. Experience with Power BI, QuickSight, or similar tools for analytics. Adherence to ETL/data management best practices (e.g., incremental loads, error handling, metadata logging). Knowledge of data protection regulations (GDPR, CCPA) and security protocols (encryption, RBAC). Agile/SCRUM practitioner with experience in offshore team collaboration. ...

guidance and mentoring. Experience Required Data Architecture: Strong experience in data modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. Cloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation ...

Snowflake and brings together marketing, financial and other operational data across sites in multiple countries. This role will define the models, definitions, keys, metadata and data contracts that make that data consistent, trusted and usable across markets. You'll work closely with data engineering, analytics, product, commercial, marketing, finance ...

skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers Snowflake proficiency: roles, warehouses, governance, masking policies, and row-level security - not just querying, but owning the environment Experience supporting ...

skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers Snowflake proficiency: roles, warehouses, governance, masking policies, and row-level security -- not just querying, but owning the environment Experience supporting ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering standards ...

Ensure architecture supports UK GDPR, data minimisation, DPIAs, data-sharing requirements, information governance and wider public sector obligations Enhance Microsoft Purview integration for cataloguing, metadata, lineage, ownership, classification and discoverability; define accountability for domains, workspaces, data products and semantic models Review capacity, performance and consumption, recommending workload protection, monitoring, cost ...

managed effectively. The Role You will work closely with business and technology stakeholders to deliver key data management capabilities, including data governance, data quality, metadata management, and data lineage . You'll play a key role in shaping data strategies, defining controls, and supporting the delivery of enterprise-wide data ...

platform codebase where appetite and skill allow Keep QA coverage current as new views and data sources are onboarded — updating baselines, refreshing metadata, and extending test coverage without being asked Engage with AI agents for test authoring, investigation, result analysis, and documentation — working fluently in an AI-augmented engineering environment ...

technologies, tools and data solutions across the business Defining architectural standards, best practices and reusable patterns across engineering teams Supporting data governance, security, metadata and data quality initiatives Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices Partnering with stakeholders to understand requirements ...

geodatabase design, SQL/spatial databases, data integration and analytical workflows relevant to marine/coastal consultancy. Strong understanding of data governance, quality assurance, metadata, coordinate systems and geospatial best practice. Ability to provide technical leadership and assurance on complex projects, including solution design, peer review, risk management and delivery ...

experience. Demonstrated experience serving as a data steward, lead data steward, data-domain governance lead, or equivalent business owner accountable for data standards, quality, metadata, ownership, and issue resolution in a regulated environment. Strong data analysis skills with the ability to translate data into information, and strategies into actionable plans. ...

best practice. Acting as an ambassador for data governance YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Data governance, data management, or metadata management. Data catalogue tooling experience Strong stakeholder management and business-facing communication skills. Experience working with SQL and/or Python alongside modern data platforms. ...

/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that ...

doing Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains Maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted Translating business requirements into clear, well-structured data models in collaboration with Product Owners, Technical Lead and delivery … Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency and traceability of model changes Supporting governance and metadata management using recognised data modelling tools Capturing and maintaining domain knowledge and model documentation Engaging with architects, SMEs, governance and compliance teams as needed Managing ...

doing*** Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains* Maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted* Translating business requirements into clear, well‐structured data models in collaboration with Product Owners, Technical Lead and delivery … Maintaining data modelling standards and best practices across squads* Applying change management principles to ensure consistency and traceability of model changes* Supporting governance and metadata management using recognised data modelling tools* Capturing and maintaining domain knowledge and model documentation* Engaging with architects, SMEs, governance and compliance teams as needed* Managing ...

technologies, tools and data solutions across the business Defining architectural standards, best practices and reusable patterns across engineering teams Supporting data governance, security, metadata and data quality initiatives Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices Partnering with stakeholders to understand requirements ...

Lead platform enhancements, change management, training, and user support activities for biometrics and other data science communities. Establish standards for reproducibility, traceability, auditability, and metadata-driven analytics. Promote continuous improvement and innovation to increase efficiency, quality, and user experience. Represent the organization in industry forums and contribute to the evolution ...

foundational data capabilities through high-quality EDA, data profiling and rapid analytical investigations in agreed Fabric and Databricks workspaces. Build confidence in data quality, metadata, metrics, baselines and user-focused measurement for priority data and AI products. Surface informed ideas for what more can be done with available data, then ...

concepts, including human-in-the-loop decision-making, explainability, traceability, evaluation, monitoring, and governance. Familiarity with scientific data, model lifecycle management, data provenance, reproducibility, metadata, cataloging, and data governance principles. Ability to translate complex R&D or business needs into clear product strategies, measurable outcomes, and scalable solutions. Strong stakeholder ...