1 to 25 of 256 Permanent Metadata Jobs in the UK

technologies Troubleshooting and resolving data-related issues. Architect scalable data solutions to support advanced analytics, machine learning, and real-time processing needs. Design and implement data governance frameworks, including metadata management, lineage tracking, and cataloging. Ensuring data quality and reliability; ensuring data security and compliance, including GDPR. Document data engineering standards, design decisions, and infrastructure setup for operational transparency. Collaborating More ❯

solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organizational policies and regulatory requirements. Optimize data products and their components for performance, scalability, and reliability. Evaluate and recommend data … tools like GitHub Actions or similar. AWS certifications such as AWS Certified Data Engineer. Knowledge of Snowflake, SQL, Apache Airflow, and DBT. Familiarity with Atlan for data cataloging and metadata management. Understanding of iceberg tables. Who we are: We're a global business empowering local teams with exciting work that is making a difference. Our portfolio includes consulting, applications, business More ❯

data quality, integrity and compliance 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 as OIC (Oracle Integration Cloud), Oracle More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronize and More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronize and More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

with evolving data governance standards. Key Responsibilities Architect Scalable Data Solutions: Design and implement efficient data models and database architectures to support current and future business needs. Develop Documentation & Metadata Standards: Maintain clear and up-to-date architectural documentation, including metadata definitions and data lineage diagrams. Establish Data Standards & Best Practices: Define and enforce data architecture principles, governance policies, and … Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to explain complex More ❯

Design, implement, and support a platform providing secured access to large datasets. • Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. • Model data and metadata to support ad-hoc and pre-built reporting. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. • Recognize and adopt best More ❯

Data Engineer Bond street 70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company’s success. There are opportunities for professional development, such as training More ❯

Data Engineer Bond street 50-70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company's success. There are opportunities for professional development, such More ❯

Data Engineer Bond street 50-70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company's success. There are opportunities for professional development, such More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. What you will do Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical … e.g. Oracle, SQL Server, Cloud Data platforms) plus real-time data streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance, and security. Proven ability to design and implement data governance tools and data literacy programs More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance, scalability … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance, scalability … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance, scalability … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical More ❯

a robust and compliant data environment. Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse data … within Risk and Finance functions. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business process and data flow modelling. Ability to More ❯

a robust and compliant data environment. Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse data … within Risk and Finance functions. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business process and data flow modelling. Ability to More ❯

or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. • Ensure data quality, integrity, and security throughout the data pipeline. … Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. • Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive – Resilient and committed to achieving goals through persistent effort. Innovation – Generates new ideas and solutions through original thinking. Results Focus – Aligns team efforts with More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive - Resilient and committed to achieving goals through persistent effort. Innovation - Generates new ideas and solutions through original thinking. Results Focus - Aligns team efforts with More ❯

principles of data modelling Re-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, data for analytics and business More ❯

user needs when designing deliverables. 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 of service-oriented architecture, including More ❯

criteria of the effort Analyze data lineage documentation and support the creation of data and system flow documentation and process maps Support the updates for key data capabilities including metadata repositories, data dictionaries, data lineage, business process maps, and training materials with the data and system process flows Partner with business data owners required to ensure maintenance of key artifacts More ❯