physical data models to support business and technical requirements. Collaborate with data architects, analysts, and engineers to ensure accurate translation of business needs into data solutions. Maintain data dictionaries, metadata, and documentation for consistency and reusability across the organization. Optimize data models for performance, scalability, and integration with existing systems. Ensure compliance with data governance, security, and quality standards. Support 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 ❯
understanding of the trade and portfolio management lifecycle, operations, compliance, risk, and attribution reporting. Demonstrated experience in data management, including DQ value, processes, tools, and related activities (data governance, metadata, data standards, data aggregation). A collaborative, team-oriented mindset with a passion for continuous learning and innovation. Experience presenting to and influencing executive-level stakeholders and contributing to enterprise 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 ❯
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
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 ❯
South West London, London, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
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 ❯
technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with industry standards More ❯
transformation roadmaps. Data Governance & Management Design and implement data governance frameworks (e.g., DAMA, DCAM). Define data ownership models, stewardship roles, and data quality KPIs. Support the implementation of metadata management, lineage tracking, and data cataloging tools. Required Qualifications & Experience: - 15+ years of experience in data advisory, data strategy, or data management roles. - 8-10 years of experience working within More ❯
Employment Type: Permanent
Salary: £100000 - £110000/annum 15% cash flex and bonus
to align data strategies with business goals and deliver measurable value. What We're Looking For: Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and implement complex data models and 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 ❯
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 ❯
and destruction, data lineage and quality and standardizing these elements into a formal data contract Collaborates closely with stakeholders to understand requirements and translates them into actionable plans for metadata management solutions Champions key initiatives by implementing features that generate genuine business value Effectively defines and prioritises the feature backlog Works alongside industry experts and talented professionals in a dynamic More ❯
data ownership , escalating where needed Enforce governance standards under pressure while maintaining business alignment Collaborate across divisional teams with strong stakeholder management Experience Required 10+ years in data governance, metadata management, and cataloging Strong technical understanding of Microsoft Purview , Azure, and Databricks Familiarity with tools like Collibra, Elation , or similar is a plus Background in data engineering, architecture , or technical More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Foreign, Commonwealth & Development Office
this vital hands-on role youll work towards becoming an expert in one or more core FCDO data domains, and focus on understanding, cataloguing and modelling data, data flows, metadata and data interactions. Working with product delivery teams and technical architects to ensure that systems, solutions, reporting and data are correctly designed and offer assured patterns that can be reused More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Littlefish
role, youll be at the heart of shaping, managing, and optimising M365/SharePoint environments for our clients. Youll advise on best practices including designing robust site structures, implementing metadata strategies, and ensuring seamless content lifecycle management across complex environments that empower organisations to collaborate and innovate effectively. A significant part of your responsibilities will centre on leveraging Microsoft Purview More ❯
entity-component-system (ECS) frameworks. Background in writing production-quality code and scaling models to work with very large datasets. Knowledge of distributed systems and data engineering (Kafka, pipelines, metadata management). Experience with containerised deployments (Docker, Kubernetes, Helm). Strong collaboration skills, with a focus on sharing knowledge and working as part of a team. A holistic approach to More ❯
marketing and content strategies. Experience : Proven experience as a Product Owner/Lead or similar role, ideally with Digital Asset Management platforms. Deep understanding of digital asset management principles, metadata structures, and content lifecycle workflows. Experience with Aprimo DAM or comparable systems is a must. Strong communication, stakeholder management, and facilitation skills. Ability to manage competing priorities in a fast More ❯
marketing and content strategies. Experience : Proven experience as a Product Owner/Lead or similar role, ideally with Digital Asset Management platforms. Deep understanding of digital asset management principles, metadata structures, and content lifecycle workflows. Experience with Aprimo DAM or comparable systems is a must. Strong communication, stakeholder management, and facilitation skills. Ability to manage competing priorities in a fast More ❯
marketing and content strategies. Experience : Proven experience as a Product Owner/Lead or similar role, ideally with Digital Asset Management platforms. Deep understanding of digital asset management principles, metadata structures, and content lifecycle workflows. Experience with Aprimo DAM or comparable systems is a must. Strong communication, stakeholder management, and facilitation skills. Ability to manage competing priorities in a fast More ❯
