Hampshire, South East, United Kingdom Hybrid / WFH Options
Proactive Appointments Limited
architecture and ETL design experience. Hands on experience in designing and implementing a data warehouse. Sound understanding of dimensional data modelling. Sound understanding of metadata management, information security and GDPR. Understanding of SQL and Python. Understanding of data science and machine learning principles. Sound understanding of data analysis, BI and more »
Mapping, Data Modelling or a Data Governance SolutionsProject Management skills – Agile, Scrum, PMI methodologiesExperience building and socializing new data governance TOM – Data Quality and Metadata ManagementStrong time management skills: efficient at multi-tasking and able to work under pressureTeam player with strong interpersonal skillsAutonomous and able to work independentlyWhy Keyrus more »
Collibra DIC (Data Intelligence Cloud) Certification to at least Data Steward level on Collibra University Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Ability to consider the broader perspective, rather than simply a siloed or business unit-focussed view Analytically minded with more »
candidate should have: Multi-skilled Experience: In data strategy and governance, including data policies, data standards, data glossaries, data governance frameworks, data quality frameworks, metadata management, and master data management. Technical Proficiency: Advanced working knowledge in SQL, and tools such as Informatica Cloud and Purview Project Experience: In defining and more »
candidate should have: Multi-skilled Experience: In data strategy and governance, including data policies, data standards, data glossaries, data governance frameworks, data quality frameworks, metadata management, and master data management. Technical Proficiency: Advanced working knowledge in SQL, and tools such as Informatica Cloud and Purview Project Experience: In defining and more »
candidate should have: Multi-skilled Experience: In data strategy and governance, including data policies, data standards, data glossaries, data governance frameworks, data quality frameworks, metadata management, and master data management. Technical Proficiency: Advanced working knowledge in SQL, and tools such as Informatica Cloud and Purview Project Experience: In defining and more »
Skills and Experience - 8+ years of work experience, with at least 2 years in a similar role - Strong expertise in data architecture, data quality, metadata management, ETL processes, and database administration - Proficiency in SQL and modern programming languages (preferably Python) - Extensive experience with cloud platforms (AWS, Azure, or GCP) and more »
Multi skilled experience in the concepts and delivery of Data Strategy & Governance. For example: Data Policies, Data Standards, Data Governance Framework, Data Quality Framework, Metadata Management, Master Data Management, Management Information and Data and Analytics. The ability to deliver data strategy & governance tasks as part of a wider framework. Project more »
data quality issues and develop remediation plans. Skills & Qualifications Strong understanding of Sustainability/ESG data and data governance practices. Experience with data quality, metadata, profiling, analysis, and data management tools. Analytical mindset with problem-solving skills and the ability to deliver workable solutions. Confident stakeholder engagement and presentation skills. more »
experience in the concepts and delivery of Data Strategy & Governance. For example: Data Policies, Data Standards, Data Glossaries, Data Governance Framework, Data Quality Framework, Metadata Management, Master Data Management, Management Information and Data and Analytics.The ability to deliver data strategy & governance tasks as part of a wider framework, including the more »
years’ Experience of working in Agile teams as part of a squad. 2-year Experience of technical aspects of Data Governance including glossary, metadata, data quality, master data management & data lifecycle management Managerial: Excellent communications, people management, coaching, leadership and strategic planning Team management experience for 10 plus staff members. more »
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Tata Consultancy Services
models, data mining, and segmentation techniques. Hands-on experience with SQL, NoSQL and data warehouse design. Great numerical and analytical skills. Good understanding of Metadata management. Good understanding of building ontologies. Knowledge of data integration concepts and patterns. Understanding of object-oriented languages and paradigms e.g. OOAD, design patterns. Excellent more »
Essential Experience of designing data warehouses for analytical and BI purposes including data models (conceptual, logical and physical) and metadata systems Experience of working with stakeholders to interpret an organisation’s needs with regards to their data models and representing this in a data architecture Experience designing data architecture that more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
cross-functional teams, including Product Owners, to understand data requirements and ensure seamless data integration. Documentation: Create and maintain comprehensive documentation of data models, metadata, and standards. Performance Optimisation: Monitor and enhance the performance of data models, proactively addressing any issues. Role overview: We're looking for a proper data more »
data flows and database management. Write ETL and ELT scripts and code to ensure optimal performance. Build accessible data models for analysis and maintain metadata repositories. Implement testing regimes to monitor data engineering work and resolve problems promptly. Document source-to-target mappings and act as a mentor to SQL more »
data flows and database management. Write ETL and ELT scripts and code to ensure optimal performance. Build accessible data models for analysis and maintain metadata repositories. Implement testing regimes to monitor data engineering work and resolve problems promptly. Document source-to-target mappings and act as a mentor to SQL more »
implementation and management of data governance frameworks, policies and standards Implement and establish wider data management competencies within organisations (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Be responsible for understanding, capturing and advising on the management of more »
Employment Type: Permanent, Part Time, Work From Home
Clerkenwell, England, United Kingdom Hybrid / WFH Options
Anmut
implementation and management of data governance frameworks, policies and standards * Implement and establish wider data management competencies within organisations (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) * Be responsible for understanding, capturing and advising on the management of more »
a reuseable process and framework, assisting our customers to expedite and improve organization data maturity through data management across key areas, including data modelling, metadata management, data classification, lineage, security, master data management, data quality, governance and compliance. Desired Skills A passion for modern data architecture and management. Data platform more »
in using cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure management Knowledge of data governance practices, including data quality management, metadata management, and data lineage Proven experience in leading and mentoring technical data engineering teams. Work in a way that works for you We promote a more »
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 more »
lineage tracking across all data assets, ensuring transparency and traceability from source to destination. - Develop and enforce data governance policies, including data quality standards, metadata management, and access controls, to ensure data integrity and compliance. - Collaborate with cross-functional teams to define and implement data stewardship practices. Banking Risk & Regulatory … with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery). - Familiarity with data modeling tools and techniques, as well as metadata management solutions. Soft Skills: - Excellent communication and collaboration skills, with the ability to work effectively across teams. - Strong problem-solving skills and the ability to more »
Nottingham, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
cross-functional teams, including Product Owners, to understand data requirements and ensure seamless data integration. Documentation: Create and maintain comprehensive documentation of data models, metadata, and standards. Performance Optimization: Monitor and enhance the performance of data models, proactively addressing any issues. Role overview: We're looking for a proper data more »
will provide expert guidance and advisory services to clients on a wide range of data management topics, including data governance frameworks, data quality policies, metadata management strategies, and master data management (MDM) solutions. You will provide strategic direction and leadership in Data Management, providing strategic and implementation consultancy in areas more »
quality monitoring metrics and data quality rule creation. Operation and incremental build-out of the data platform using in-house and vendor data tools. Metadata analysis and data catalogue curation to support data discoverability. Day-to-day data subject matter expert support for the front office across various data sets. more »
