12 of 12 Conceptual Models Jobs in the UK excluding London

capability within the Data Team. As part of our journey we're looking for a data architect to help bring our vision to life to design and review data models, iterate on data architecture, and ensure data is efficiently stored and managed within our enterprise data lakehouse. Here's a taste of what you'll be doing You will … through enterprise data modelling, planning ahead for the impact of data changes over time. Design technical architecture solutions for machine learning and AI applications. You will use design data models to ensure our data vision is achieved, ensuring that data is managed properly and meets the needs of our business requirements. You will design efficient and scalable data pipelines … architecturing. Knowledge and experience of Amazon Web Services is essential with a strong understanding of cloud based design particularly within AWS. Be comfortable with taking ownership of complex data models within data engineering projects, and develop appropriate solutions in accordance with business requirements. Hand-on experience with working with stakeholders and managing their requirements. Actively coach and mentor others More ❯

integration You'll be working on SAP datacentric data and analytics solutions, ensuring seamless integration with cloud platforms like Snowflake and Databricks. You'll also be designing efficient data models and ETL processes. Working with SAP data extractors This will include BW extractors and CDS views and table extractors to integrate data into target platforms. Internal team development & progression … system with proven experience of delivering analytics solutions for at least one core area such as finance, logistics or sales. Strong expertise in data modelling techniques and tooling (conceptual, logical, and technical modelling) Understanding of connectivity from on-premise to cloud-hosted applications and common patterns for getting SAP data to the cloud. Hands-on project experience including More ❯

capability within the Data Team. As part of our journey we're looking for a data architect to help bring our vision to life to design and review data models, iterate on data architecture, and ensure data is efficiently stored and managed within our enterprise data lakehouse. At E.ON Next we're looking for the most ambitious, talented, and … through enterprise data modelling, planning ahead for the impact of data changes over time. Design technical architecture solutions for machine learning and AI applications. You will use design data models to ensure our data vision is achieved, ensuring that data is managed properly and meets the needs of our business requirements. You will design efficient and scalable data pipelines … architecturing. Knowledge and experience of Amazon Web Services is essential with a strong understanding of cloud based design particularly within AWS. Be comfortable with taking ownership of complex data models within data engineering projects, and develop appropriate solutions in accordance with business requirements. Hand-on experience with working with stakeholders and managing their requirements. Actively coach and mentor others More ❯

capability within the Data Team. As part of our journey we're looking for a data architect to help bring our vision to life to design and review data models, iterate on data architecture, and ensure data is efficiently stored and managed within our enterprise data lakehouse. At E.ON Next we're looking for the most ambitious, talented, and … through enterprise data modelling, planning ahead for the impact of data changes over time. Design technical architecture solutions for machine learning and AI applications. You will use design data models to ensure our data vision is achieved, ensuring that data is managed properly and meets the needs of our business requirements. You will design efficient and scalable data pipelines … architecturing. Knowledge and experience of Amazon Web Services is essential with a strong understanding of cloud based design particularly within AWS. Be comfortable with taking ownership of complex data models within data engineering projects, and develop appropriate solutions in accordance with business requirements. Hand-on experience with working with stakeholders and managing their requirements. Actively coach and mentor others More ❯

data expertise to individual project 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 project delivery roles. Understanding industry … context requirements. To be successful in this role you are required to have: Design, develop, and implement robust and scalable SAP BW solutions based on business requirements. Develop data models, InfoCubes, InfoObjects, DataStore Objects (DSOs), Advanced DSOs, Composite Providers, and other BW objects. Design and develop ETL processes using various BW tools and techniques, including InfoPackages, Data Transfer Processes … concepts and authorization roles within the BW environment. Develop and maintain documentation for all BW solutions. Monitor and analyze BW system performance and identify areas for improvement. Optimize data models, ETL processes, and queries for performance. Troubleshoot and resolve complex technical issues related to BW. Perform root cause analysis and implement preventative measures. Collaborate with other technical teams (e.g. More ❯

data expertise to individual project 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 project delivery roles. Understanding industry … context requirements. To be successful in this role you are required to have: Design, develop, and implement robust and scalable SAP BW solutions based on business requirements. Develop data models, InfoCubes, InfoObjects, DataStore Objects (DSOs), Advanced DSOs, Composite Providers, and other BW objects. Design and develop ETL processes using various BW tools and techniques, including InfoPackages, Data Transfer Processes … concepts and authorization roles within the BW environment. Develop and maintain documentation for all BW solutions. Monitor and analyze BW system performance and identify areas for improvement. Optimize data models, ETL processes, and queries for performance. Troubleshoot and resolve complex technical issues related to BW. Perform root cause analysis and implement preventative measures. Collaborate with other technical teams (e.g. More ❯

data expertise to individual project 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 project delivery roles. Understanding industry … context requirements. To be successful in this role you are required to have: Design, develop, and implement robust and scalable SAP BW solutions based on business requirements. Develop data models, InfoCubes, InfoObjects, DataStore Objects (DSOs), Advanced DSOs, Composite Providers, and other BW objects. Design and develop ETL processes using various BW tools and techniques, including InfoPackages, Data Transfer Processes … concepts and authorization roles within the BW environment. Develop and maintain documentation for all BW solutions. Monitor and analyze BW system performance and identify areas for improvement. Optimize data models, ETL processes, and queries for performance. Troubleshoot and resolve complex technical issues related to BW. Perform root cause analysis and implement preventative measures. Collaborate with other technical teams (e.g. More ❯

from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering … Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance principles Skilled in Excel, including VBA for analysis and automation Strong problem-solver, commercially aware, and naturally collaborative What’s More ❯

to manage development and delivery lifecycles Communicate effectively with stakeholders across the business to ensure alignment and engagement Required Technical Skills: GCP Data Architecture Data Lakehouse Architecture MDM (Conceptual) Dimensional Data Modeling Snowflake, Oracle, SQL Server, PostgreSQL Python and Power BI (desirable) Knowledge of test automation tools and practices Strong understanding of Agile and software development best practices More ❯

Supporting key areas like risk, commercial, and customer functions with reliable data solutions Collaborating with stakeholders to shape scalable, efficient data architecture Building conceptual and physical data models to support reporting and analysis Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server … Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance principles Skilled in Excel, including VBA for analysis and automation Strong problem-solver, commercially aware, and naturally collaborative What’s in It for You: Big scope More ❯

understand current workflows and data usage. Reverse engineer the As-Is physical data model of the IDOX Uniform system. Design the To-Be conceptual and physical data models that reflect ideal organisational processes. Develop a comprehensive data dictionary/catalog. Map data integration points and data flows across systems. Document data lineage and support the implementation of … Essential Skills & Experience: Proven experience in data modelling (dimensional, data vault). Strong understanding of system integration and data flow mapping. Experience with business process mapping and aligning data models to organisational workflows. Excellent stakeholder engagement and communication skills. Ability to work independently and collaboratively in a hybrid environment. Desirable Knowledge Familiarity with IDOX Uniform or similar planning systems. More ❯

Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques without bias. Experienced in multiple stages of model development, including requirements analysis, task formulation, implementation, validation, and deployment. Capable of conducting research … creating conceptual models, prototyping, and mentoring others in these processes. Adept at explaining complex modeling concepts to diverse audiences, both technical and non-technical. Experienced in taking on a technical leadership role in project settings. Holds a strong undergraduate degree in a STEM field with a significant focus on mathematics; possessing a PhD is beneficial but not More ❯