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7 of 7 Metadata Management Jobs in Birmingham
Birmingham, England, United Kingdom Apexon Technology
reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. About Apexon: Apexon is a digital-first technology services firm … reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDIGITAL Key Responsibilities: • Design, develop, and maintain logical … ensure consistency and compliance with regulatory requirements. • Utilize SQL, data modeling tools (e.g., Erwin, Visio), and scripting languages to define and implement database solutions. • Develop and maintain data dictionaries, metadata management, and schema documentation. • Document data structures, business logic, and workflows to ensure transparency and knowledge sharing within the team. • Optimize dashboard performance and usability by implementing best More ❯
Birmingham, England, United Kingdom DLA Piper
Join to apply for the Data Management Solutions Manager role at DLA Piper 4 days ago Be among the first 25 applicants Join to apply for the Data Management Solutions Manager role at DLA Piper Get AI-powered advice on this job and more exclusive features. The Data Management Solutions Manager is responsible for hands on design … and delivery of the tooling for Data Management – e.g. Data Catalog, Data Quality, Data Lineage. This includes configuring pipelines and connectors to ingest metadata, classify data, and establish data elements within a Business Data Catalog enabling additional data governance activities such as data quality and data lineage. The manager will be hands on and responsible for tooling related … to metadata management, data quality management, reference data management, master data management, amongst others. This role will also support use case development leveraging data elements/attributes through hands on data profiling and data discovery. Main duties and responsibilities Implement comprehensive data cataloging for appropriate data attributes Connect the orchestration and integration of data catalog More ❯
Birmingham, England, United Kingdom Hybrid / WFH Options Autodesk
researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate More ❯
Birmingham, England, United Kingdom Kainos
architectures, and provide assurance across all stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. NHS England … AI solutions that span data integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients on product and technology selection … tools and techniques that improve the quality and impact of our Data and AI proposals and delivered solutions. Promoting a culture of experimentation and improvement within the team. People management Leading, motivating and empowering individuals within the Data and AI practice, creating a positive, high-performing culture where people can grow. Mandatory requirements: Experience working as a Data or More ❯
Birmingham, England, United Kingdom Compass Group UK & Ireland
modern data ecosystem, including platforms like Informatica , Amazon Redshift , Microsoft Fabric , Power BI , and PowerApps . This role is perfect for someone passionate about operational excellence, skilled in stakeholder management, and experienced in managing outsourced partners and ITSM processes (e.g., TOPdesk). Key Responsibilities Own and manage end-to-end service delivery and operational performance across data and analytics … ensure service alignment. Maintain service documentation, knowledge bases, and playbooks for internal and external teams. Promote a user-focused, service-oriented culture within the wider data team. Support vendor management and audit readiness in collaboration with the Head of Data Platforms. Required Skills & Experience 3-5 years' experience in service delivery, operations , or IT support management , ideally within … technical and non-technical stakeholders. Highly organised, detail-focused, and comfortable managing cross-functional workloads. Desirable Qualifications ITIL Foundation certification or equivalent. Understanding of data governance , data quality , or metadata management . Experience with support automation (e.g., using Power Automate). Background in hybrid or cloud-native data environments in a business intelligence context. Why Join Compass? At More ❯
Birmingham, England, United Kingdom JR United Kingdom
adopt Actian’s solutions while continuously refining their technical configuration to maximize value over time. This is a customer-facing role, requiring technical expertise, strategic thinking, and strong project management skills to ensure customers see long-term success with Actian solutions. Responsibilities: Technical Implementation & Onboarding Lead technical onboarding process for new Zeenea Data Intelligence Platform customers Develop and execute … ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments Provide customer technical documentation, workflows, and best practices for metadata management and governance Proactively identify technical implementation risks and provide recommendations to mitigate issues before they arise Post-Implementation Optimization Support advanced technical integrations to extend platform capabilities … Deliver ongoing technical insights to help customers improve efficiency, performance, and scalability Advise customers on complex metadata manipulation projects Technical Customer Success Partner with Product and Engineering to influence roadmap priorities based on customer feedback Support customer presentations, providing technical insights that reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years More ❯
Birmingham, England, United Kingdom Drax
of your time. You’ll contribute to early engagements through strong communication skills, domain experience and knowledge gathered throughout your career. This role requires you to have adept time- management and prioritisation skills to keep on top of your responsibilities. You’ll use your cross-project exposure to feedback to the Data & Data Science Leadership Team to guide understanding … of Python and SQL, inc. the following libraries: Numpy, Pandas, PySpark and Spark SQL - Expert knowledge of ML Ops frameworks in the following categories: a) experiment tracking and model metadata management (e.g. MLflow) b) orchestration of ML workflows (e.g. Metaflow) c) data and pipeline versioning (e.g. Data Version Control) d) model deployment, serving and monitoring (e.g. Kubeflow) - Expert More ❯
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