1 to 25 of 42 Conceptual Models Jobs in the UK

has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable Responsibilities Analyze and translate business needs into data models Develop conceptual, logical, and physical data models Create and enforce database development standards Validate and reconcile data models to ensure … accuracy Maintain and update existing data models Collaborate with data architects, data analysts, and business users Support the implementation of data management strategies Create data definitions and metadata Identify opportunities to optimize data usage Qualifications Proven work experience as a Data Modeler or Data Architect Experience in data modeling … principles/methods including conceptual, logical & physical Data Models Knowledge of database structure systems and data mining Excellent analytical and problem-solving skills Familiarity with data visualization tools Experience with SQL and data modeling tools Understanding of agile methodologies Our Commitment to Diversity & Inclusion: Apexon is committed More ❯

preferably in designing and implementing cloud-native analytics/data platforms (including data lake/warehouse) technology through all data lifecycle stages Excellent conceptual and logical data modelling and database design experience, including industry-recognised data modelling patterns and standards (i.e. dimensional), that is relevant to a retail More ❯

and projects). Ideally, you'll also have some of the following: Experience in applying data modelling principles/methods including creation of conceptual, logical & physical data models. Working knowledge and experience in using one or more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a More ❯

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 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 More ❯

distributed teams. Looking for someone with over 8 years of experience within this domain, ideally in Oil and Gas. Responsibilities: Requirements capture & assessment Conceptual/logical/physical data modelling/dimensional modelling Data integration & flow design SOA architecture & principles Query & database performance tuning - ETL Cloud computing Globally More ❯

and propose conclusions Role Description * Apply analytical and problem solving techniques to present solutions * Manage and explore data sources, organise and store * Apply conceptual and physical data modelling and develop knowledge of data cleansing * Approach problems with logic and creativity * Able to understand and provide data quality assurance More ❯

and propose conclusions Role Description * Apply analytical and problem solving techniques to present solutions * Manage and explore data sources, organise and store * Apply conceptual and physical data modelling and develop knowledge of data cleansing * Approach problems with logic and creativity * Able to understand and provide data quality assurance More ❯

in addition to one of the above. Designs, constructs, and oversees complex databases. Develop database solutions, analyze structural requirements, and experience in designing conceptual and logical data models. Self-motivated and willing to pick up new database challenges. Ideally demonstrable exposure to NoSQL technology (Couchbase, Cassandra). Graduate More ❯

/or implementing effective payroll data strategies Work with the team and our clients to define transformation strategies and transform their payroll data management models Examples for annuity services Support delivery of existing EY technology assets to clients under our managed service model Translate business requirements into technical specifications … ll also have some of the following: Experience in applying data modelling principles/methods including creation of conceptual, logical & physical data models Working knowledge and experience in using one or more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the More ❯

/or implementing effective payroll data strategies Work with the team and our clients to define transformation strategies and transform their payroll data management models Examples for annuity services Support delivery of existing EY technology assets to clients under our managed service model Translate business requirements into technical specifications … ll also have some of the following: Experience in applying data modelling principles/methods including creation of conceptual, logical & physical data models Working knowledge and experience in using one or more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the More ❯

/or implementing effective payroll data strategies Work with the team and our clients to define transformation strategies and transform their payroll data management models Examples for annuity services Support delivery of existing EY technology assets to clients under our managed service model Translate business requirements into technical specifications … ll also have some of the following: Experience in applying data modelling principles/methods including creation of conceptual, logical & physical data models Working knowledge and experience in using one or more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the More ❯

/or implementing effective payroll data strategies Work with the team and our clients to define transformation strategies and transform their payroll data management models Examples for annuity services Support delivery of existing EY technology assets to clients under our managed service model Translate business requirements into technical specifications … ll also have some of the following: Experience in applying data modelling principles/methods including creation of conceptual, logical & physical data models Working knowledge and experience in using one or more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the More ❯

focus on our enterprise-scope Data domains, by: Engaging primarily with Data Product Owners to assist in translating business requirements into clear, scalable data models and solutions, ensuring effective communication and alignment between technical capabilities and business needs. Guiding & supporting the realisation of the data product strategy for assigned … to drive productive discussions on data strategy and model implementation. Engaging in regular learning and development to enhance understanding of data architectures and data models, ensuring alignment with the strategic needs of Data Product Owners. Working closely with colleagues across easyJet to build and maintain valuable and productive working … the Enterprise Integration, Data Engineering, Data Management and Data Analytics & Science functions will be essential. Responsible for maintaining and governing logical and physical data models for Data and Analytical solutions by working closely with Data Engineering Technical leads and Data modellers, along with that responsibilities you should maintain consistency More ❯

years of experience in a Software Engineering background Experience in the design & implementation of end-to-end data and application architectures Experience in conceptual, logical and physical modelling Experience in the design & implementation of complex, large-scale distributed systems Experience in analysing and implementing solutions to meet both More ❯

developing ER and Dimensional models. Experience in the Investment domain is a must, with knowledge of Fund, Holdings, Cashflow, etc. Experience in building conceptual, logical, and physical models. Experience in SQLDM tool is an advantage. Knowledge of Big Query is an advantage. More ❯

developing ER and Dimensional models. Experience in the Investment domain is a must, with knowledge of Fund, Holdings, Cashflow, etc. Experience in building conceptual, logical, and physical models. Experience in SQLDM tool is an advantage. Knowledge of Big Query is an advantage. #J-18808-Ljbffr More ❯

of experience in developing ER and Dimensional models. Experience in the Investment domain, with knowledge of Fund, Holdings, Cashflow, etc. Experience in building conceptual, logical, and physical models. Knowledge of SQLDM tool is an advantage. Knowledge of BigQuery is an advantage. Additional Information: Seniority level: Mid-Senior level More ❯

Vault, Data Mesh, Data Products, Lakehouse's, etc) The ability to document architectural designs in the form of conceptual, logical and physical models Ability to discuss enterprise data and the impact on a business including master data management, data quality, data literacy and initiatives such a single More ❯

Vault, Data Mesh, Data Products, Lakehouse's, etc) The ability to document architectural designs in the form of conceptual, logical and physical models Ability to discuss enterprise data and the impact on a business including master data management, data quality, data literacy and initiatives such a single More ❯

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 … 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 More ❯

teams or work streams as part of larger projects and programmes. Taking part in client discovery, requirement gathering and analysis workshops. Designing efficient data models and ETL process across a range of technologies. Planning and performing data migrations. Establishing effective working relationships with peer-level clients as part of … of data integration activities (DQ, data migrations, data mastering, data architecture, data modelling, business intelligence etc.). Data modelling techniques and tooling including conceptual, logical and technical modelling. Understanding of DQ tools and how to conduct DQ (data quality) exercises and assess and present the results to senior More ❯

Architect to join their Data Information Architecture team. What will your day to day look like? Leading the creation of conceptual data models and managing and facilitating the Data Model Governance Process. Working with cross-functional teams, including Business Analysts, Solution Architects and Developers and business stakeholders … to ensure the data model reflects the business best interests. Partnering with the Data Governance team to maintain alignment between the data models and business objectives. No line management responsibilities however supporting the growth and mentoring of an individual within the team. What you will bring to the team … Extensive experience in conceptual, logical and physical data models. Strong collaboration skills and experience of working across various teams including technical & business. The ability to speak about data modelling to business stakeholders and be able to challenge effectively. Experience in a mentoring or a leadership position. Plus - Snowflake More ❯

Architect to join their Data Information Architecture team. What will your day to day look like? Leading the creation of conceptual data models and managing and facilitating the Data Model Governance Process. Working with cross-functional teams, including Business Analysts, Solution Architects and Developers and business stakeholders … to ensure the data model reflects the business best interests. Partnering with the Data Governance team to maintain alignment between the data models and business objectives. No line management responsibilities however supporting the growth and mentoring of an individual within the team. What you will bring to the team … Extensive experience in conceptual, logical and physical data models. Strong collaboration skills and experience of working across various teams including technical & business. The ability to speak about data modelling to business stakeholders and be able to challenge effectively. Experience in a mentoring or a leadership position. Plus - Snowflake More ❯

clearly. Strong SQL experience Experience in dimensional data modelling, including: Capturing and reviewing business requirements, developing and reviewing conceptual and logical data models, troubleshooting and resolving model-related issues Demonstrable expertise in analytics modelling: Predictive analytics, trend and correlation analysis, forecasting, outlier detection and exception reporting Proven More ❯

and around the London area. Responsibilities Develop and implement data strategies that enhance decision-making across public sector organisations. Design conceptual data models and establish data architecture frameworks. Provide expert guidance on data governance and management throughout the entire data lifecycle. Work closely with stakeholders to align More ❯