1 to 25 of 78 Conceptual Models Jobs in England

leadership, business units, and IT teams to develop and implement data solutions that align with the clients’ strategic goals. Responsibilities will include designing and overseeing the implementation of data models, frameworks, and governance strategies to ensure data is accurate, secure, and accessible to authorised personnel. The role includes: Engaging with client enterprise architects and senior managers in developing data … facing role working through requirements and delivering data architectures in required formats and using agreed data design/modelling tools. Definition of Conceptual, logical and physical data models, Data Flows (including streaming data) and Data Architectures to support Analytics, Data Warehouse and Data Migration requirements. Support pre-sales for Analytics and data management solution architectures. Design authority … and delivery owner of data architecture and models for Analytics & Data Management. Leading a small team of data modellers. Map data from operational systems to Analytics systems (on-premise and cloud). Skills we can’t do without: Definition and promotion of data architecture products to support project and enterprise analytics strategies. Expertise in a minimum of one data More ❯

Support governance, data security, and compliance (GDPR, HIPAA, etc.) Lead Data Architects: Define enterprise-level data strategies across business and technology domains Develop conceptual/logical data models, operating models, and architecture frameworks Act as trusted advisor to senior client stakeholders across multiple industries Shape pre-sales propositions and support go-to-market strategies in data More ❯

work for approval. Ensure that data management best practices are adhered to, in the areas of data security, data governance, data privacy and industry regulatory compliance Collaborate on conceptual data modelling with EDS data modellers Design and govern Central Data Platform data pipeline patterns. Experience required: Insurance/financial services domain knowledge (preferred) Expertise in at least two More ❯

Support governance, data security, and compliance (GDPR, HIPAA, etc.) Lead Data Architects: Define enterprise-level data strategies across business and technology domains Develop conceptual/logical data models, operating models, and architecture frameworks Act as trusted advisor to senior client stakeholders across multiple industries Shape pre-sales propositions and support go-to-market strategies in data More ❯

Support governance, data security, and compliance (GDPR, HIPAA, etc.) Lead Data Architects: Define enterprise-level data strategies across business and technology domains Develop conceptual/logical data models, operating models, and architecture frameworks Act as trusted advisor to senior client stakeholders across multiple industries Shape pre-sales propositions and support go-to-market strategies in data More ❯

Support governance, data security, and compliance (GDPR, HIPAA, etc.) Lead Data Architects: Define enterprise-level data strategies across business and technology domains Develop conceptual/logical data models, operating models, and architecture frameworks Act as trusted advisor to senior client stakeholders across multiple industries Shape pre-sales propositions and support go-to-market strategies in data More ❯

Support governance, data security, and compliance (GDPR, HIPAA, etc.) Lead Data Architects: Define enterprise-level data strategies across business and technology domains Develop conceptual/logical data models, operating models, and architecture frameworks Act as trusted advisor to senior client stakeholders across multiple industries Shape pre-sales propositions and support go-to-market strategies in data More ❯

Support governance, data security, and compliance (GDPR, HIPAA, etc.) Lead Data Architects: Define enterprise-level data strategies across business and technology domains Develop conceptual/logical data models, operating models, and architecture frameworks Act as trusted advisor to senior client stakeholders across multiple industries Shape pre-sales propositions and support go-to-market strategies in data More ❯

Spark or other cloud-native compute engines Establish coding standards, reusable components, and naming conventions using Prophecy's visual designer and metdata-driven approach Implement scalable and efficient data models (e.g star schema, scd typ2) for data marts and analytics layer Integrate Prophecy pipelines with orchestration tools like Airflow, data catalog tools for lineage Implement version control, automated testing … database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and … technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration ͏ 3. Enable Delivery Teams by providing optimal delivery solutions/frameworks a. More ❯

decision making, and innovation. Main Duties Data Architecture Design and Implementation Design and build modern, scalable data architectures using cloud based and on premises solutions. Develop and maintain data models, databases, and pipelines to support enterprise-wide data initiatives. Lead the enterprise expansion of Snowflake for cloud data warehousing and analytics. Leverage dbt (Data Build Tool) to enable efficient … of data systems. Utilize Azure Data Factory and other Azure tools for data management and processing. Take IT Services ownership of the creation of conceptual and Logical models working with University business leads and SME’s. Strategic Planning and Leadership Work with colleagues across the University to review and drive the University's data strategy, ensuring alignment More ❯

implement DQ standards and work with technology counterparts to ensure accurate implementation. Key Responsibilities Deliver data architecture solutions for CIB Coverage by developing conceptual and logical data models that meet business needs. Implement data quality (DQ) standards, reference data principles, and metadata governance frameworks. Lead the adoption of best practices in data classification, security, privacy, records keeping … and regulatory compliance. Support transformation programs by providing end-to-end data architecture guidance and execution. Collaborate with Technology Architects on physical data models and architecture alignment. Provide expert consultation on data design across enterprise change initiatives. Promote and maintain governance forums to oversee and authorize data standards and models. Map business processes to data models to support … impact analysis and data lineag Involve/Engage Technology Architects and Teams to get support on Physical Data Architecture/Physical Data Models and related queries as required by Data Domain Ownership activities. Ensure (and if required implement and operate) appropriate governance forums to govern Data Design and Architecture, including defining their roles and responsibilities, to govern and authorize More ❯

the IT department. The pipelines will be realised in a modern lake environment and the engineer will collaborate in cross-functional teams to gather requirements and develop the conceptual data models. This role plays a crucial part in driving data-driven decision-making across the organisation, ensuring data availability, quality, and accessibility for various business needs. This is … data transformation tasks, including data cleansing, enrichment, and aggregation, to prepare data for analytics and reporting. Integrate data from structured and unstructured sources, ensuring compatibility and alignment with data models and business requirements. Automate data transformation processes to improve efficiency. Data Quality Assurance Implement and maintain data quality checks and validation processes to identify and resolve data anomalies and … data quality improvements. Collaborate with business stakeholders to define data quality requirements. Data Modelling and Schema Design Collaborate with data architects and data scientists to design and 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. More ❯

the IT department. The pipelines will be realised in a modern lake environment and the engineer will collaborate in cross-functional teams to gather requirements and develop the conceptual data models. This role plays a crucial part in driving data-driven decision-making across the organisation, ensuring data availability, quality, and accessibility for various business needs. This is … data transformation tasks, including data cleansing, enrichment, and aggregation, to prepare data for analytics and reporting. Integrate data from structured and unstructured sources, ensuring compatibility and alignment with data models and business requirements. Automate data transformation processes to improve efficiency. Data Quality Assurance Implement and maintain data quality checks and validation processes to identify and resolve data anomalies and … data quality improvements. Collaborate with business stakeholders to define data quality requirements. Data Modelling and Schema Design Collaborate with data architects and data scientists to design and 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. More ❯

operational systems, your contribution will help ensure data is a trusted, governed, and secure asset across the business. Key Responsibilities Develop and maintain conceptual and logical data models aligned to business needs. Partner with Governance and Security teams to define and uphold data policies, metadata frameworks, standards, and data dictionaries. Provide architectural oversight and assurance across data More ❯

our organization's data products to support our business objectives. In this role, you will work closely with cross-functional teams to identify and analyse business information, create data models, and set standards to ensure data quality and integrity. Within your role, you will have responsibility for modelling and ensuring that conceptual, logical and physical models … teams to manage the impact of changes on data architecture Data Modelling: Manage the data modelling team and the creation and maintenance of logical and conceptual data models to support business requirements Ensure data models are aligned with data product requirements and support efficient data integration and analysis Governance and Compliance: Establish and enforce data governance … without compromising the delivery of the wider strategy Effective at driving short-term actions that are consistent with long-term goals Ability to synthesise complex data problems into logical models and physical solutions Strong team and stakeholder management, understanding of needs, and influencing with the ability to communicate concisely Exceptional interpersonal skills, including collaboration, facilitation, and negotiation Excellent problem More ❯

worked within high performance development teams at Asset/Wealth Financial Management organisations. You will be defining and developing target financial index data conceptual and logical data models collaborating with tech, business and strategy teams. You shall create, maintain, and socialise physical data models to enable the development of physical data stores. Creating and supporting the … Asset management organisations delivering strategic data solutions in financial/reference data (e.g. equities, fixed income, debt instruments etc.) Very experienced with data modelling, creating logical/conceptional data models with a good understanding of data model interaction with metamodels/metadata for data platforms. Expertise with programming in Python. Vast experience working with AWS solutions e.g. Glue and More ❯

the necessary level of understanding for data definition and usage Working closely with subject matter experts & data architects, analyse the data requirements & produce and update logical and physical data models Identifying data entities and describing the relationships between them, as a model, based on business context, process and existing systems clearly showing source to target mappings Supporting both intra … Experience Strong data modelling experience within the financial services industry working on large scale data migration programmes Good understanding of financial reference data and experience with FS industry standard models (e.g. fpML, FIX, FIBO) is highly preferred Data modelling skills and a solid understanding of the difference between conceptual, logical and physical models Stakeholder Management experience … all levels of stakeholders to understand and extract the required business requirements Project lifecycle implementation experience including familiarity of agile projects Understanding of UML and/or logical data models Understanding of RDBMS’s and proficiency with SQL Understanding and experience of modelling semi-structured schemas such as JSON and/or XML Experience with data modelling tools e.g. More ❯

hold responsibility for the design and management of databases/data flows to ensure smooth business operations for out clients. Main Responsibilities You will develop conceptual data models to improve processes and add strategic value to the business. You will work with the Data Architects, Data Owners and IT Subject Matter Experts to analyse, document, and improve … data warehousing, data integration, data migration, business intelligence, analytics, and delivery across advisory and technical delivery projects. Qualifications Experience with analytics and data science, and technical expertise regarding data models and database design. Experience working with data processing tools such as Informatica, Talend, Alteryx. Experience of the full data migration process, source to target data mapping and data cleansing More ❯

hold responsibility for the design and management of databases/data flows to ensure smooth business operations for out clients. Main Responsibilities You will develop conceptual data models to improve processes and add strategic value to the business. You will work with the Data Architects, Data Owners and IT Subject Matter Experts to analyse, document, and improve … data warehousing, data integration, data migration, business intelligence, analytics, and delivery across advisory and technical delivery projects. Qualifications Experience with analytics and data science, and technical expertise regarding data models and database design. Experience working with data processing tools such as Informatica, Talend, Alteryx. Experience of the full data migration process, source to target data mapping and data cleansing More ❯

decision-making, and add your unique stamp to a team that values innovation, collaboration, and excellence. What you'll be doing: Leading the creation of conceptual data models to accelerate the production of high-quality data assets for analytical purposes. Collaborating with data engineering teams to ensure the logical and physical data models align with the … overarching conceptual framework. Managing and facilitating the Data Model Governance Process, governing and approving data models for use on our Snowflake analytics platform. Partnering with the Data Governance team to maintain alignment between the data models and business objectives. Consulting with and challenging business stakeholders, including data analysts, data owners, and stewards, to ensure the data … of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll have: Extensive experience in data modelling, with a strong focus on conceptual, logical, and physical More ❯

auditable controls to satisfy the new Data Architecture standard. Define and lead on data architecture within Group Data to translate business requirements into conceptual and logical data models and ensure delivery of solutions which achieve adherence to the required data architecture standards. Deliver high-quality data architecture artefacts that are usable by target stakeholders, ensuring they clearly More ❯

CB data and tooling that enable CB in data analytics and services. Within CB Data Services, Data Architecture and Modelling CoE (Centre of Excellence) design and create strategic data models and protocols for data publication. As a Senior Data Modeller, you'll take ownership and work on the design and development of enterprise logical and physical data models supporting the CB business strategy. You will ensure the design team creates models agreed upon by data producers and consumers, adhering to group data architecture and industry standards. What we'll offer you We are committed to providing an environment focused on your development and wellbeing, recognizing that a healthy, engaged, and well-supported workforce performs best. Our … Bike4Work scheme, and Gym benefits Support for CSR initiatives with 2 days' volunteering leave annually Your key responsibilities Coordinate with Business Change Management and IT groups to align data models with current and future plans Design, build, and maintain data models and collaborate with data architects Define the 'language' for your function's data models, such as More ❯

analysis, profiling, and data mappings. Interface with data experts, data sourcing resources and assist in the data validation. Assist in the development the conceptual/logical data models with appropriate business contexts. Perform gap analysis on complex financial data. Ensure project activity is customer focused, results oriented, performance driven, and in compliance with all applicable internal and … external requirements. Employ analytical, conceptual, and creative thinking skills to improve performance. Study, evaluate, and document current and future business processes while staying aligned with strategic goals. Support user training, documentation, and rollout. Support overall project management and business strategy related to information delivery. Maintain effective working relationships with organizational team and clients. What we value These skills … will help you succeed in this role Prior experience managing at team of Business Analysts, Project Managers and Business SMEs. Ability to analyze entity-relationship diagrams and logical data models to validate design against requirements. Demonstrated excellence in business writing, development of business process flow diagrams, making comparisons regarding current and future processes, and effective communication. Ability to articulate More ❯

role will support the business on the journey to a mature data-led organisation. Job Accountabilities: Providing technical data solutions including design and development of logical and physical data models and databases for business solutions. Providing technical expertise and guidance to development teams (both easyJet and third parties) around solution/system design and coding, ensuring standards are consistently … Hive, Airflow, and DBT) and OLTP and Data Warehousing – within SQL Server or other RDBMS’s. Familiarity with Lake House Architecture and Databricks. Extensive data modeling experience from conceptual to logical models. Up-to-date knowledge of data and analytical technical domains. Good understanding of software best practices, including design principles & patterns, security, and performance. Experience in presenting More ❯

on-year growth, enabling them to implement and utilize the most in-demand and cutting-edge technology available. Your role will include: Designing and implementing effective database solutions and models, including Data Lake and Data Warehousing. Assessing database implementation procedures to ensure GDPR and data compliance. Guiding, influencing, and challenging technology teams and stakeholders to understand the benefits, pros … of various solution options. Setting the technical direction for the data platform landscape and solutions in collaboration with delivery and engineering teams. Designing conceptual and logical data models and flowcharts. My client is offering: Hybrid Working 28 Days Holiday plus Bank Holidays Private Medical Health Pension Scheme And more... Candidate requirements include experience in: Extensive experience with More ❯