Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Somerset Bridge
analysts, compliance, and business functions to ensure data is governed, understood, and fit for purpose across its lifecycle. Additionally, the role supports compliance and audit readiness by maintaining clear metadata, lineage, and retention policies using tools such as Azure Purview and Unity Catalog. This position is vital to enabling trusted analytics, AI development, and operational efficiency. What you'll be … providing training, guidance, and accountability across business units. Define and monitor data quality KPIs, initiating remediation plans with relevant owners where data integrity risks are identified. Manage and maintain metadata standards and business glossaries, enabling consistent definitions and enterprise-wide understanding of data assets. Ensure compliance with data privacy and protection laws (e.g. UK GDPR, Data Protection Act, FCA/… of data protection legislation and regulatory standards (e.g. DPA 2018, GDPR, FCA SYSC, PRA SS1/21). Experience with Azure Purview, Unity Catalog, or similar data governance and metadata tools. Excellent understanding of data management principles including data quality, metadata, lineage, classification, and stewardship. Experience leading data governance initiatives in regulated environments such as financial services or insurance. Strong More ❯
client requirements into scalable and secure data architectures Drive infrastructure-as-code and CI/CD deployment practices Process structured and semi-structured data (JSON, XML, Parquet, CSV) Maintain metadata, build data dictionaries, and ensure governance is embedded by design Work across industries in fast-paced, high-value engagements This Principal Data Engineer will bring: Extensive experience with ETL/… ELT pipelines and data transformation patterns Proficiency in AWS cloud services , particularly Redshift, Glue, Matillion, and S3 Strong command of data quality, data lineage, and metadata practices Fluency in database technologies (both relational and NoSQL) Experience with Linux environments and data visualisation tools (e.g. Tableau, QuickSight, Looker ) Bonus points for: Familiarity with Hadoop, Spark, or MapReduce Exposure to data APIs More ❯
Key Responsibilities Provide 1st and 2nd line support for web applications, with a focus on AEM-based websites. Troubleshoot issues related to content publishing, page rendering, site performance, and metadata in AEM. Monitor and report on site performance and search indexing via Google Search Console. Collaborate with developers, content editors, QA, and DevOps teams to resolve technical issues. Manage and More ❯
ETL/ELT using Matillion or similar tools. Strong Python and SQL skills, with a good understanding of data formats Demonstrated experience in designing data lakes, data pipelines, and metadata management. Solid understanding of CI/CD pipelines, infrastructure automation, and agile delivery. Background in consulting, including stakeholder engagement and client-facing delivery. Proven success in responding to RFI/ More ❯
Bristol, Avon, England, United Kingdom Hybrid / WFH Options
Reilly People
and contribute to the ongoing development of its industry-leading platform. This hybrid role offers the opportunity to work across its full technology stack, from data pipeline engineering to metadata enrichment in a small collaborative and high-performing team. It’s ideally suited to someone who combines strong technical ability with proactivity, clear communication and organisational skills. Data Engineer - Benefits More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/ More ❯
million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/ More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
ITSS Recruitment Ltd
assets.4. Builds and deploys communication plans for data consumers so they are aware of data governance standards and available resources for accurate reporting of the data.5. Develops a centralized metadata and classification repository for data assets that can be systematically used with confidence in business applications.6. Fosters communication and knowledge exchange among data governance practitioners through engagement with CoEs7. Operationalizes More ❯
our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance, through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth of skills enable transformational change at any scale. You will learn, grow More ❯
Builds and deploys communication plans for data consumers so they are aware of data governance standards and available resources for accurate reporting of the data. 5. Develops a centralized metadata and classification repository for data assets that can be systematically used with confidence in business applications. 6. Fosters communication and knowledge exchange among data governance practitioners through engagement with CoEs More ❯
Integrity: Act with personal integrity at all times. Professional: Work within team processes, confront problems proactively, propose solutions, take ownership, and maintain a positive attitude. Additional responsibilities include migrating metadata and business rules into the Unified Platform, analyzing and fixing inconsistencies, and leveraging problem-solving skills to improve business processes. BASIC QUALIFICATIONS Bachelor's degree in a technical field Relevant More ❯
across technical and non-technical teams Preferred Qualifications, Capabilities, and Skills: Experience with AWS cloud stack (S3, SageMaker, Lambda, ECS, etc.) Experience working with structured data, tabular models, and metadata-driven platforms Experience with regulated data systems, enterprise controls, or secure data processing workflows Contributions to open-source ML or backend tooling frameworks J.P. Morgan's Commercial & Investment Bank is More ❯
for critical issues. Work with Technology and market data vendors to get solutions working for clients. Setup and customize our instrumentation and tooling to generate meaningful alerts and gather metadata on network behavior over time. What's required 8-10 years of experience with 3-5 experience in low latency networking Deep understanding of network systems/architectures at a More ❯
London, England, United Kingdom Hybrid / WFH Options
BBC
technologies DESIRED BUT NOT REQUIRED: Familiarity with Scheduling systems such as Movida/Mediagenix On Demand and general experience with Media delivery to 3rd parties including audio, video, captions, metadata and scheduling. Reasonable understanding of programming languages such as JSON, XML, SQL, VBA, RSS. If you can bring some of these skills and experience, along with transferable strengths, we'd More ❯
personalization, commerce, lifecycle, and identity. We're changing the world of streaming video and looking for a fearless, talented software engineer to build our vision of a global content metadata management platform to delight our operators and captivate our viewers. As a Lead Software Engineer in the Content Catalog team, you will drive the technical architecture, implementation and improvement of More ❯
Collaborate on AI platform designs leveraging Dell's product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc. Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell's maturity model frameworks. Stay current on emerging AI and associated Data Management technologies. Actively contribute field feedback to Dell More ❯
ERPs, APIs, flat files) into OneStream. Facilitating workshops and collaborating with Finance and IT stakeholders to translate business requirements into technical solutions. Delivering best-practice system configuration, workflow design, metadata management, and security setup. Supporting UAT, cutover, and go-live activities, including troubleshooting, performance tuning, and root cause analysis. Providing post-go-live enablement, admin training, documentation, and knowledge transfer More ❯
scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages More ❯
monitoring to ensure high availability and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and secure service architecture. Coach junior More ❯
operations. Experience in product experience management, digital commerce, or product content operations. Proven experience in implementing or supporting PXM systems (Akeneo, Salsify, inRiver, etc) Strong understanding of product taxonomy, metadata, attributes, lifecycle management, content syndication and data workflows. Excellent analytical and problem-solving skills with the ability to communicate technical concepts to non-technical stakeholders. Experience integrating PXM systems with More ❯
operations. Experience in product experience management, digital commerce, or product content operations. Proven experience in implementing or supporting PXM systems (Akeneo, Salsify, inRiver, etc) Strong understanding of product taxonomy, metadata, attributes, lifecycle management, content syndication and data workflows. Excellent analytical and problem-solving skills with the ability to communicate technical concepts to non-technical stakeholders. Experience integrating PXM systems with More ❯
operations. Experience in product experience management, digital commerce, or product content operations. Proven experience in implementing or supporting PXM systems (Akeneo, Salsify, inRiver, etc) Strong understanding of product taxonomy, metadata, attributes, lifecycle management, content syndication and data workflows. Excellent analytical and problem-solving skills with the ability to communicate technical concepts to non-technical stakeholders. Experience integrating PXM systems with More ❯
Newcastle Upon Tyne, Tyne And Wear, United Kingdom
Accenture
operations. Experience in product experience management, digital commerce, or product content operations. Proven experience in implementing or supporting PXM systems (Akeneo, Salsify, inRiver, etc) Strong understanding of product taxonomy, metadata, attributes, lifecycle management, content syndication and data workflows. Excellent analytical and problem-solving skills with the ability to communicate technical concepts to non-technical stakeholders. Experience integrating PXM systems with More ❯
monitoring to ensure high availability and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and secure service architecture. Coach junior More ❯
accurately provide protection to users in real time. We ensure that the correct remediation can take place before the user is placed at risk, and follow up with providing metadata to other systems to be visualized etc. You'll have the opportunity to: Design and build reliable distributed systems that handle volumes of data with low latency. Maintain and support More ❯