1 to 25 of 27 Metadata Jobs in the South East

APIs, and machine learning models in coordination with DevOps teams. Define and embed best practices for data warehousing and Lakehouse architecture (e.g. Medallion). Standardise data development, modelling, and metadata management across the enterprise. Implement lineage tracking and orchestration tools to improve transparency and governance. Conduct code reviews, testing, and documentation to ensure quality and robustness of analytics outputs. Take More ❯

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 More ❯

Design and implement conceptual, logical, and physical data models. Define architecture standards and ensure alignment with business needs. Collaborate with data engineers, architects, and product teams. Maintain data dictionaries, metadata, and lineage documentation. Support data product performance, scalability, and compliance. Lead resolution of data issues and performance bottlenecks. Requirements: 10+ years in data architecture/modeling. Expertise in modeling techniques More ❯

data architecture standards and best practices Collaborate with cross-functional teams to align data models with business needs Lead data integration, transformation, and migration strategies Maintain enterprise data models, metadata repositories, and data lineage documentation Optimise data products for performance, scalability, and reliability Skills & Experience: 10+ years in data architecture and modelling Expertise in dimensional modelling, 3NF, and Data Vault More ❯

play a key role in transforming business requirements into scalable and insightful reporting and dashboard solutions. Role The Oracle BI Consultant will design and develop OBIEE dashboards, reports, and metadata models (RPD). Translate business requirements into technical specifications and BI solutions. Write, optimise, and maintain complex SQL queries for data extraction, transformation, and analysis. Develop and manage data models More ❯

Requirements Proven experience in a consulting/delivery environment , delivering data architecture for UK government or healthcare clients . Strong background in core data architecture disciplines - data modelling, transformation, metadata, migration, governance, and MDM. Strong stakeholder management skills - able to translate between business goals and technical solutions. Experience mentoring teams and influencing data delivery across wider project teams. Deep understanding More ❯

and SQL across platforms like Snowflake, real-time systems, or similar Strong exposure to AWS (Lambda, S3, EKS, SNS, API Gateway) Understanding of real-time and analytical data pipelines, metadata, and cataloguing (e.g., Atlan) Strong communication, stakeholder management, and documentation skills Preferred (but not essential): AWS or Snowflake certifications Knowledge of Apache Airflow, DBT, GitHub Actions Experience with Iceberg tables 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. Excellent communication More ❯

consistent communication with teams to report progress, risks, and issues. Knowledge, Skills, Experience & Qualifications: Essential: Strong knowledge of Transactional Data types and Bank Products. Expertise in data governance, quality, metadata, profiling, analysis, and management tools. Problem-solving aptitude with effective communication skills. Understanding of enterprise-wide data governance practises. Confident stakeholder engagement abilities. Proficient in Microsoft Office Suite (Word, Excel More ❯

Data Platform Operations : Managing production ETL/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 the team is working More ❯

pipelines, contributing to open science and collaborative research. To ensure compliance with best practices in biological data handling. To support the integration of biological data with laboratory and experimental metadata, working with data engineers and software developers where needed. To advise scientific leadershipon emerging bioinformatics methods and tools that can be applied to accelerate discovery. Qualifications & Experience: An advanced degree More ❯

Data Platform Operations : Managing production ETL/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 the team is working More ❯

based data engineering using services like S3, Lambda, Glue, and Athena. Ensure interoperability with global research infrastructures (e.g. DiSSCo UK, RECODE, DToL). Define best practices in data quality, metadata, and reproducibility. Collaborate with cross-functional teams (science, software, product). Mentor engineers and contribute to institutional data strategy and standards. Tech Requirements Strong Python skills; experience with Airflow, Luigi More ❯

Responsibilities: Lead development of automated reporting and analytics tools Shape and enforce data governance and quality standards Champion data ownership, stewardship, and compliance initiatives Work cross-functionally to integrate metadata and taxonomy strategies Build training materials and guide agile teams in embedding data quality at every stage Translate data insights into commercial opportunities and operational improvements Support business owners with More ❯

and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub Actions, Terraform). Familiar with data quality tools and metadata/cataloguing (e.g. Great Expectations, Unity Catalog). Beneficial: MarTech domain knowledge. Notable: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or More ❯

modern, data-centric architecture Useful Experience: Data Modelling : Physical, logical, conceptual models; data flow diagrams; ontologies; UML/Visio/Sparx Data Standards : Technical specs, code assurance, championing interoperability Metadata Management : Data catalogues, repositories; tools like Apache Atlas, Hive Metastore, AWS Glue/Datazone Data Design : Data lakes, warehouses, lakehouses, pipelines, meshes, marketplaces If you're passionate about shaping data More ❯

interactive maps and spatial data using ArcGIS Pro and ArcGIS Online Administer ArcGIS Server, including restarts, troubleshooting and performance monitoring Maintain and update spatial data layers (e.g. polygon editing, metadata management) Engage with internal stakeholders across services to deliver bespoke mapping and spatial data solutions Key skills and experience required: Significant hands-on experience with the ESRI ArcGIS suite , including More ❯

Essential Skills & Experience: * Strong background in Salesforce release management within regulated environments (preferably financial services or banking). * Hands-on experience with Salesforce deployments (including use of version control, metadata APIs, and deployment automation tools). * Working knowledge of Agile, DevOps, and ITIL change control frameworks. * Solid understanding of data governance, privacy regulations (e.g., GDPR), and FCA compliance as it More ❯

cost-effective solutions and value for money. Content Support & Brand Alignment: Proof-read and edit website content to ensure clarity, tone, and brand consistency. Contribute to SEO improvements and metadata management across pages. Maintain awareness of best practice in web content, mobile responsiveness, accessibility, and digital UX. Our ideal Website Co-ordinator should have the following skills and experience: Level More ❯

cost-effective solutions and value for money. Content Support & Brand Alignment: Proof-read and edit website content to ensure clarity, tone, and brand consistency. Contribute to SEO improvements and metadata management across pages. Maintain awareness of best practice in web content, mobile responsiveness, accessibility, and digital UX. Our ideal Website Co-ordinator should have the following skills and experience: Level More ❯

degree (PhD preferred) in genomics, bioinformatics, computer science, or a related field. Proven leadership experience in scientific data management, software development, or bioinformatics. Strong knowledge of nucleotide sequence data, metadata, and the challenges of large-scale data curation and integration. Experience of developing and maintaining scalable big data systems. Exceptional communication and stakeholder engagement skills. Demonstrated ability to innovate, inspire More ❯

and responsibilities Design, build, and maintain SharePoint Online pages to host a centralized software catalogue. Collaborate with stakeholders to gather requirements and translate them into functional SharePoint solutions. Implement metadata, tagging, and search optimization to ensure intuitive navigation and discoverability. Ensure compliance with internal governance, security, and data protection policies. Provide documentation and training materials for end users and administrators. More ❯

theme and sentiment analysis . Build user-triggered reporting dashboards and synthesis tools with search and filtering capabilities. Enable insight-driven stakeholder engagement via intuitive visual interfaces. Data Governance & Metadata Establish and enforce metadata standards and catalogue structures. Ensure compliance with data security, privacy, and classification requirements (e.g., RBAC, SSO, Azure Entra). Monitoring, Maintenance & Recovery Integrate ArcGIS Monitor and More ❯

scope of the Data Governance programme. Develop and maintain governance artefacts such as the Data Governance Charter, policies, standards, and metrics. Lead the implementation of data governance processes including metadata management, data quality, master data, and data classification. Own and maintain the enterprise Data Catalogue. Liaise with external stakeholders to ensure alignment with data handling requirements. Drive continuous improvement in … practices. Strong understanding of Data & Analytics disciplines and their strategic importance. Proven ability to work with both business and technical teams to define and implement governance requirements. Experience with metadata management, data quality tools, and master data management. Strong leadership, communication, and stakeholder engagement skills. Familiarity with data protection and compliance standards. What you'll get in return A permanent More ❯

scope of the Data Governance programme. Develop and maintain governance artefacts such as the Data Governance Charter, policies, standards, and metrics. Lead the implementation of data governance processes including metadata management, data quality, master data, and data classification. Own and maintain the enterprise Data Catalogue. Liaise with external stakeholders to ensure alignment with data handling requirements. Drive continuous improvement in … practices. Strong understanding of Data & Analytics disciplines and their strategic importance. Proven ability to work with both business and technical teams to define and implement governance requirements. Experience with metadata management, data quality tools, and master data management. Strong leadership, communication, and stakeholder engagement skills. Familiarity with data protection and compliance standards. What you'll get in return A permanent More ❯