22 of 22 Permanent Conceptual Models Jobs in the UK

facing products. Key Responsibilities Lead the architecture and design of robust, scalable data solutions in a modern Azure environment Drive the development of logical and conceptual data models, metadata frameworks, and architecture roadmaps Support and influence the entire data lifecyclefrom ingestion and transformation to analytics and product delivery Collaborate closely with the CDO and engineering team to More ❯

technical Data & Information skills Working with data architects to continually refine data architecture activities and processes Contribute to Creating an Enterprise Data Model for MoD by integrating various data models into a cohesive enterprise-wide model.. 2.Acting as a key Architecture governance stakeholder Expert advices to Data & Information Architects, Enterprise Architects, Solution Architects, and Programme Leads for Design Authority … Demonstrable experience in developing data architecture strategies, policies, and designs, and supporting their implementation within complex organisations. Proven ability to create and review conceptual and logical data models to ensure alignment with overall data strategy and accurate representation of data requirements. Strong understanding of data architecture governance principles and experience acting as a key stakeholder in review 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 ❯

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 … regarding current and future processes, and effective communication. Ability to articulate basic project methodology concepts using either SDLC or Agile Ability to analyze entity-relationship diagrams and logical data models to validate design against requirements. Familiarity with financial reporting, business intelligence, and data warehousing principles Excellent oral and written communication skills for diverse audiences with excellent facilitation Education & Preferred More ❯

+ Benefits and Bonus Location: London (3 days a week onsite) The Role: As a Data Modeler , you will be responsible for designing and implementing data models to support complex data environments. Your responsibilities: Engage with other data modelers, data architects and data professionals to continually improve the data modelling landscape. Governance and oversight of data models ensuring … they conform to agreed principles and standards. Supporting the delivery of change activity and ensuring that Business Domain Models meet the business needs. Nurturing a data culture and promoting data model usage. Assisting with implementing data models into the change and governance frameworks. Building conceptual and logical data models that accurately represent data relationships. Working … quickly. Ability to work independently and as a part of a team. Software development experience. Adept problem solver with a flair for logical and lateral thinking. Experience of conceptual and logical data modelling. Desirable skills/knowledge/experience: Knowledge of Domain Driven Design (DDD) and DAMA. Experience with data analytics, APIs, databases, and related technologies. In Technology 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 ❯

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 ❯

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 ❯

TOGAF. The successful Data Architect will be involved in the following daily tasks: Develop modelling standards, guidelines and best practices; Develop and maintain subject area conceptual data models for their portfolio; Take part in the peer review of data related deliverables; The Data Architect will also play the role of Data Modeller when required, and as such … will: - Capture, model and describe data requirements, data definitions, business rules, data quality requirements, data security requirements; - Develop and maintain logical and physical data models; - Develop and maintain canonical message models; - Define source-to-target mappings for data migrations. Required skills and experience: PowerDesigner Advanced level knowledge and understanding of application design, systems engineering and integration, in particular More ❯

test frameworks, collaborating with Data Engineers and Data Analysts on complex problems, or learning and developing our expertise. Data Modelling & SQL Turning raw data into friendly, business-facing data models is at the core of the role of an Analytics Engineer, and like most data teams, we use a combination of SQL and dbt to get this done. As … to be comfortable with dbt and native SQL speakers (at least 1 dialect). Wrangling data into shape should be second nature. It is also vital that our data models can be trusted - so testing and QA is extremely important to us. We're on a test-driven development journey, and our Analytics Engineers are constantly pushing the boundaries … of what is possible when it comes to making sure our data is high quality. In summary, you will: Build data models using SQL and dbt. Optimise for performance and cost across different data warehouses. Demonstrate git best practices for effective version control. Be pragmatic about documentation. Conform and contribute to Tasman's SQL style guidelines. Design and implement More ❯

years of experience within this domain ideally Oil and Gas. The following are some notes for this Senior Data Architect role: Senior Data Architect - - 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-distributed database replication/synchronization patterns 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. Map data integration points and data flows across systems. Document data lineage and support the implementation of Role-Based Access Control (RBAC). Collaborate … 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 ❯

strategy and improvements with reference data requirements (e.g., Strategic Party, Account, Instrument, and SSI reference data). Syndicates and delivers the implementation and adoption of conceptual data models and business-aligned growth and strategic initiatives (e.g., Party Relationship Account Data Adoption (PRADA to enhance data quality, operational efficiency, and reduce operational risk. Supports the adoption of the 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 ❯

engagement: Brand-new Ardoq implementation (tool selected, not yet embedded). Organisation is highly federated and architecturally immature. Your role is to lead early modelling efforts , build the conceptual approach, and guide the client through their first wave of data capture. Supported by packaged onboarding from Ardoq, with our team leading the strategic and hands-on delivery. What … setting the stage for longer-term maturity work. What we’re looking for from the Enterprise Solution Architect: Proven Enterprise/Solution Architect with a strong grasp of conceptual and logical modelling. Experience delivering value with Ardoq or similar EA tooling (LeanIX, BiZZdesign etc). Hands-on and strategic, comfortable building structure in low-maturity environments. Confident communicator More ❯

finance project, Outside IR35 contract that initially runs till the end of the year, will be extended after Essential Skills Required - Experience working on logical and conceptual models - Experience working with internal finance - Experience in the Insurance domain If you are interested and would like to hear more, please apply with a latest CV or reach out 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 ❯

to explain complex ideas effectively. The ability to communicate credibly and effectively with executive audiences (executive presence) and presentation skills. Exceptional analytical skills: ability to apply conceptual models, recognize patterns and draw and defend conclusions. Ability to think abstractly and strategically is a must. Strong project planning and management skills. Ability to take direction and be self More ❯