1 to 25 of 51 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 ❯

Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient More ❯

and delivering modern data platforms at scale Familiar with TOGAF and other enterprise architecture frameworks Experience and knowledge of data governance, data quality, and data cataloguing Knowledge of master, metadata and reference data management An understanding of Agile working practices and sprint based methodology Capable of actively contributing to knowledge sharing Desirable Knowledge, Skills and Experience: Knowledge of genomics Experience 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 ❯

policies, underwriting Effective stakeholder communication and delivery focus Strong project and time management in fast-paced environments Desirable Tools and Tech Power BI, Tableau, Looker, Domo Data governance and metadata management tools DevOps for data workflows, hybrid/multi-cloud architectures Monitoring and cost optimisation tools (Azure Monitor, GCP cost tools) Culture and Conduct Act as a role model for 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 ❯

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 ❯

DB and more Making informed decisions on the strategic direction and roadmap for the use and implementation of cloud platforms and DevOps methodologies. Design scalable and efficient data models, metadata systems, and data catalogues aligned with business objectives. Optimise performance and resolve issues to ensure data accessibility and responsiveness. Provide guidance and oversight to project teams on data architecture and More ❯

into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯

into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What 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 ❯

usage Support analytics and self-service reporting initiatives Skills & Experience Strong experience with GCP, BigQuery, Dataflow Proficiency in Python and Terraform Skilled in ETL/ELT, data modelling, and metadata management Familiarity with CI/CD, DevOps, and Infrastructure-as-Code Knowledge of insurance data and KPIs is advantageous but not essential Benefits: Competitive salary and benefits Discretionary bonus Hybrid 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 ❯

Azure data services Experience designing and implementing data pipelines, data lakes, and warehouses Strong knowledge of data governance, security, and compliance frameworks Experience with master data management (MDM) and metadata On Offer Our client is ideally looking to pay up to c£100k as a basic salary for the ideal individual, relevant to experience and qualifications. Higher offers may be 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 ❯

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 ❯

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 ❯

working. With confidence in data integration design, you establish standards, keep them up to date, and ensure adherence to best practices across industry and government. You can identify how metadata repositories support different areas of the organisation and set up robust governance processes to maintain accuracy. Problem-solving is a strong suit, including anticipating challenges, understanding their broader impact, and More ❯

efficient, performant, and high-quality pipelines for data ingestion into the platform Contribute to building data management components, including reference data management, de-identification, data curation, pathogen and technical metadata catalogues, and data access controls Ensure efficient, secure, scalable, available, and performant data storage components, including genomic variant storage, clinical data stores, and clinical imaging Ensure robust ingest services capable … Experience with modern database technologies, including Iceberg, NoSQL, and vector databases Embraces innovation and works closely with scientists and partners to explore cutting-edge technology Knowledge of master data, metadata, and reference data management Understanding of Agile practices and sprint-based methodologies Active contributor to knowledge sharing and collaboration Desirable Knowledge, Skills and Experience: Familiarity with genomics and associated 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 ❯

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 ❯

Java, or both. You should also be familiar with cloud-hosted software and REST APIs. Additionally, knowledge of Docker, Kubernetes , and containerization is required. Strong skills in data and metadata transformation using JSON and XML are essential for this position. Previous experience with agile development methodologies is also beneficial. 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 ❯

skills in Git (or similar) and experience with release/version control Bonus Points Experience in data-heavy creative or media industries Passion for the arts Familiarity with structured metadata standards (e.g., DDEX ERN or RDR) Experience with PostgreSQL , AWS RDS , and S3 Perks & Benefits 25 days holiday , plus bank holidays and a Christmas office closure 6% employer pension contribution More ❯