8 of 8 Permanent Conceptual Models Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

Key Requirements: Excellent soft skills such as communication, presentation and negotiation Experience in delivering software using various software methodologies, particularly Agile and Waterfall Experience in creating UML, BPMN 2.0 models and diagrams, particularly conceptual domain models, activity diagrams, and use case diagrams. Experience in developing and documenting requirements, with acceptance tests, and providing supporting artefacts like More ❯