business needs. Promote the adoption of the data architecture standard and guidelines with the engineering teams. Data Management: Maintain data documentation including data dictionaries, metadata, and high level data lineage. Ensure the data architecture is compliant with SIE Data Governance and Security policies. Integration Architecture: Define logical data flows. Reuse more »
as Azure, AWS, and Snowflake, integrating diverse data sources into unified systems. Data Governance and Compliance: Implement data governance practices, including data quality management, metadata management, and adherence to regulatory requirements. Performance Optimisation: Monitor and optimize data processing workflows, ensuring efficient data operations and high performance. Collaboration and Communication: Work more »
Promote Data Management standards and best practices Support business and data requirements gathering Input and guidance to business for Data Catalog, Master Data and Metadata Management Lead the data solution designs and execution of data models for these solutions such as Data Warehouse, Data Lake, and Data Lakehouse Work with 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 »
and best practices. Conduct regular reviews of existing data models to ensure they meet current business needs. Provide guidance on data management strategies, including metadata management, master data management, and reference data management. Work closely with IT teams to implement logical data models into physical databases. Lead a team of 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 »
experience designing and implementing data pipelines, utilising cloud platforms like Azure Familiarity with best practices in data management, including ensuring data quality and effective metadata management Delivered data reporting solutions using Power BI and other business intelligence tools Client-facing experience with strong written and verbal communication skills Able to more »
Employment Type: Permanent
Salary: £50000 - £60000/annum (plus excellent company benefits)
frameworks such as DCAM and DAMA DMBoK Experience in key data-centric topics such as AI, GenAI, MLOps, Business Intelligence, Analytics, Master Data Management, Metadata Management, Data Governance, Data Mesh/Marketplace, Data Products Knowledge of information management and policy topics such as GDPR/privacy and records management, BCBS239 more »
as DCAM and DAMA DMBoK. Experience in key data-centric areas such as AI, Generative AI (GenAI), MLOps, Business Intelligence, Analytics, Master Data Management, Metadata Management, Data Governance, Data Mesh/Marketplace, and Data Products. Knowledge of information management and regulatory policies, including GDPR , privacy laws, BCBS239, and the EU more »
of large datasets and troubleshoot any performance issues related to data retrieval or processing. Create and maintain detailed documentation and schematics of data models, metadata, and processes using suitable tools, such as Visio. Develop and enforce data governance and data modeling standards to ensure consistency and accuracy across all models. more »
Skills and Experience: Strong background in data architecture, ideally within insurance. Proficiency in data modelling, integration, SQL/NoSQL, and cloud platforms. Familiarity with metadata management, MDM, and data governance frameworks. Experience in the finance sector preferable. If this is something of interest to you, please send your CV across more »
experience designing and implementing data pipelines, utilising cloud platforms like Azure Familiarity with best practices in data management, including ensuring data quality and effective metadata management Delivered data reporting solutions using Power BI and other business intelligence tools Client-facing experience with strong written and verbal communication skills Able to more »
Data Standards for the organisation, including for data modelling and appropriate templates and guidance for the use thereof Data modelling Data governance Data standards Metadata and repositories Turning business problems into data design Able to communicate clearly and concisely to onboard new members of the team Able to communicate the more »
Chelmsford, Essex, United Kingdom Hybrid / WFH Options
Senitor Associates Ltd
of large datasets and troubleshoot any performance issues related to data retrieval or processing. Create and maintain detailed documentation and schematics of data models, metadata, and processes using suitable tools, such as Visio. Develop and enforce data governance and data modelling standards to ensure consistency and accuracy across all models. more »
Chelmsford, Essex, South East, United Kingdom Hybrid / WFH Options
Senitor Associates Limited
of large datasets and troubleshoot any performance issues related to data retrieval or processing. Create and maintain detailed documentation and schematics of data models, metadata, and processes using suitable tools, such as Visio. Develop and enforce data governance and data modelling standards to ensure consistency and accuracy across all models. more »
custom reports to support transnational level details, partner with Reporting team to help develop advance analytics for the subject area. Create data dictionary of metadata and document complex calculations. Develop standards to document summary of report configuration of requirements, conceptual design, and end-to-end processes. Create workflows in ETL more »
all things data including lifecycle, technologies, data-patterns, insights, analytics and machine learning, master and reference data management, integration, data warehousing, NoSQL, data quality, metadata, and data compliance. Outwardly looking with an excellent understanding of industry standard data strategies and trends alongside technologies and business models. Snowflake experience and certification more »
including lifecycle, technologies, data-patterns, domain-driven design, insights, analytics and machine learning, master and reference data management, integration, data warehousing, NoSQL, data quality, metadata, and data compliance. Alongside this, specific expertise in delivering Martech/CDP platform strategy including resolution of customer data, delivery of customer 360 data, marketability 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 »
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 »
evolving the data management practices across the business. Key Accountabilities: Lead the Group's Data Management Strategy - encompassing approaches to Data Quality, Data Cataloguing, Metadata & Lineage, Master Data Management and Reference data. Develop Data modelling practices and implement. Hands on experience in building and implementing architecture blueprint at enterprise level. 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 »
Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools. Key Responsibilities 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. Design data solutions … 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 »
Ensure data accuracy and integrity across all internal systems and reporting processes Manage account set-ups and provide training as required for internal music metadata-based systems. Offer support as required in all areas related to music systems, reporting, analysis, and administrative tasks, adapting to evolving business requirements. Preferred Experience more »
