logical, and physical data models to support the enterprise data strategy. Data Strategy and Governance: Define and implement data management strategies, including data governance, metadata management, and data quality controls. Database and Cloud Technologies: Select appropriate database solutions (SQL, NoSQL, Data Lakes) and cloud platforms (AWS, Azure, Google Cloud) to more »
Employment Type: Permanent
Salary: £80000 - £100000/annum 15% Bonus + Car Allowance
quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate more »
quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate more »
the strategic roadmap. Act as a Subject Matter Expert, offering consultancy to the business and mentoring internal data teams. Ensure effective data governance, including metadata management, reference data management, and maintaining data estate reference architecture. Stay up-to-date with emerging trends, technologies, and best practices in the data and more »
writing and maintaining complex SQL queries Experience building data pipelines; ETL design, implementation, and maintenance Knowledge of data management fundamentals (data modeling, data quality, metadata management, data warehouse/lakes patterns, distributed systems) Spoken English Communication skills Sales/Pre-sales experience What's on Offer more »
cloud-based platforms, particularly during major IT transitions Comprehensive understanding of data architecture frameworks and canonical modelling principles Expertise in data governance practices, including metadata management, data lineage, and regulatory compliance Familiarity with B2B food manufacturing industry processes, particularly supply chain and production data requirements Working knowledge of cloud technologies more »
Nottinghamshire, East Midlands, United Kingdom Hybrid / WFH Options
The Bridge (IT Recruitment) Limited
Metadata Analyst - Nottingham - £40-£45k - Hyrbid (1-2 days per week on site) The Bridge IT have partnered with a leading utilities company to recruit a Metadata Analyst to help drive thier data strategy. As a Metadata Analyst you will play a pivotal role in driving data quality and governance … initiatives across the organisation. You'll work closely with business and technology stakeholders to implement metadata management solutions and promote data standards that enhance operational efficiency, regulatory compliance, and overall organisational success. Key Responsibilities Ensure precise recording, maintenance, and distribution of critical data. Communicate responsibly and transparently, acting as a … trusted partner across the organisation Champion data quality across the organisation by motivating and supporting senior stakeholders in meeting business objectives. Implement metadata management solutions that integrate seamlessly with physical enterprise data assets. Design and build a comprehensive Data Dictionary, Data Catalogue, and Data Lineage framework. Integrate metadata repositories with more »
platform conceptual, logical and physical models Proficient in leading small teams of architects/data modellers Demonstrate a good understanding of data integration tools, metadata repository tools and their use Appreciation and awareness of the latest concepts around Big Data and its application in Analytics architectures and solutions A good more »
. - Critical thinking skills to propose data solutions, test, and make them a reality. - Deep understanding of data service ecosystems including data warehousing, lakes, metadata, meshes, fabrics and AI/ML use cases. - User experience advocacy through empathetic stakeholder relationship. - Effective Communication both internally (with team members) and externally (with more »
implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing more »
storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture more »
be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer more »
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 more »
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 more »
Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define data dictionaries, data lineage, and metadata management processes. Ensure data consistency, integrity, and quality across the platform. Data Integration & Pipelines: Define data integration patterns and establish robust data pipelines for ingesting … Excellent communication, interpersonal, and presentation skills. Strong analytical and problem-solving skills. Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with metadata management tools e.g. Purview. Knowledge of data science and machine learning concepts. Experience with API design and development. more »
Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define data dictionaries, data lineage, and metadata management processes. Ensure data consistency, integrity, and quality across the platform. Data Integration & Pipelines: Define data integration patterns and establish robust data pipelines for ingesting … Excellent communication, interpersonal, and presentation skills. Strong analytical and problem-solving skills. Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with metadata management tools e.g. Purview. Knowledge of data science and machine learning concepts. Experience with API design and development. more »
the following areas: Data integration and ingestion. Data modelling (including modelling methodologies such as Kimball, Data Vault, 3NF). Data management and governance (including metadata management, data quality, master data management, data security). Data Lake, Lakehouse and Data Mesh architecture. Data Engineering, Analytics and Visualisation. AI/GenAi and more »
Comprehensive understanding of DAMA Data management framework with specialisms in Knowledge Areas: Data Architecture, Data Modelling and Design , Reference and Master Data, DW & BI, Metadata Management, Data Quality. * Competent in best practice for designing complex E-R models and complex datamart models using INMON/Kimball methodology * Experience in SQL more »
the data you manage. You will have experience with implementing data governance frameworks and governing data inclusive of data access, data cataloguing, data modelling, metadata, data legislation and data documentation. You are a skilled and proactive communicator. We are a diverse, global team and you need strong verbal and written more »
back-end systems, analytics platforms, CRMs) and across industry disciplines (e.g. data modelling and design, data quality, master and reference data, data standards, and metadata). You can work with people from a wide range of backgrounds, gathering and responding to feedback on your designs, and gaining buy-in. You more »
Manchester, North West, United Kingdom Hybrid / WFH Options
Tunstall Healthcare (UK) Ltd
SolarWinds DPA, Redgate, or native SQL tools. Experience with database security, including encryption, access control, and auditing. Strong knowledge of data governance and managing metadata (ideally for healthcare data). Required experience: Proven experience as a SQL DBA, with a strong track record of managing mission-critical databases. Experience in more »
roadmaps, architectural best practices, and governance frameworks . Hands-on experience in data engineering, DevOps, and cloud automation . Strong understanding of data modelling, metadata management, and data governance . Ability to engage with technical and non-technical stakeholders , providing clear architectural direction. Desired Qualifications Google Professional Cloud Architect AWS more »
Cardiff, South Glamorgan, Wales, United Kingdom Hybrid / WFH Options
Salt
roadmaps, architectural best practices, and governance frameworks . Hands-on experience in data engineering, DevOps, and cloud automation . Strong understanding of data modelling, metadata management, and data governance . Ability to engage with technical and non-technical stakeholders , providing clear architectural direction. Desired Qualifications Google Professional Cloud Architect AWS more »
Telford, Shropshire, West Midlands, United Kingdom
Coforge
design and implementation of complex data architectures for enterprise-level systems, ensuring scalability and performance. Develop and maintain data dictionaries, data lineage documentation, and metadata repositories to support data governance and standardization efforts. Perform data mapping and data profiling to ensure data quality and consistency across systems and environments. Work more »
all levels, from creation to disposition, including data governance, data analytics on context structural behavior, unstructured data and master data management, data architecture strategies, metadata management, graph databases, reference data, location data, spatial data, geohash data, and business-centric data modeling. You will create multiple domains of data across the more »
