6 of 6 Contract Data Modelling Jobs in the Thames Valley

Data Engineer - Contract (Outside IR35) Location: Oxford Working Patterns: Hybrid - 2 days on site, per week Contract Duration: 6 months, extension likely Opus have partnered with a leading manufacturer who're seeking an experienced AWS Data Engineer to help to design, build and optimise data pipelines … support business reporting, analytics and decision making. You'll be working closely with engineering and technology stakeholders to help in the delivery of reliable data solutions. The Role: This one is heavily focused on development and the maintenance of cloud-based data infrastructure. There is a strong focus ...

Options) Rate: £550 per day (Umbrella) About the Role We're looking for an experienced Business Analyst - SAP S/4HANA Finance Master Data Design to join our Finance Transformation team and play a key role in designing the future-state Finance Master Data model as part … major SAP S/4HANA transformation programme. The role will focus on defining and documenting Finance Master Data structures, including General Ledger Accounts, Cost Centres and Profit Centres , together with the associated hierarchies, definitions and reporting requirements. You'll work across Finance, Data, Reporting and Technology teams ...

Keynes - Hybrid working The ideal candidate will possess an active security clearance and have a strong background in Salesforce Application Support and Power BI Data Analytics. The following skills and experience are required: Experience in providing support for the Salesforce Platform. Development and maintenance of data analytics, including … integration with Salesforce, hosted on the Microsoft Power BI/Fabric platform. Extensive knowledge of complex data models, security models, and business processes. Significant experience working with Salesforce Flows and Lightning Record Pages. Proficiency in Power BI/Fabric Data Flows and API integrations. Comprehensive understanding of developing ...

/MBD, FEA, structural analysis, composites, metallic structures, joints, fasteners, loads, and mass properties. Enable integration with the wider Digital Thread, ensuring data continuity from requirements and design through analysis, test, and evidence. Establish technical baselines, reference architectures, methodologies, and work instructions. Promote best practice in model-based engineering … requirements across engineering teams and partners. Drive adoption of new tools, processes, and frameworks through effective stakeholder engagement, training, and change management. Establish appropriate data models, metadata, naming conventions, and access controls for engineering information. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, risks, capacity ...

defence environment. This is a strategic role combining materials engineering, environmental compliance, digital engineering, and product delivery. You will shape the digital toolchains, data environments, and processes that support materials selection and allowables, material and process specifications, batch pedigree and traceability, obsolescence, restricted substances, corrosion and compatibility, coatings … Product Environmental digital capabilities. Lead the development and optimisation of digital solutions covering materials databases, allowables, specifications, process records, batch pedigree, certificates, compliance data, and sustainability reporting. Develop product roadmaps, delivery plans, and prioritised backlogs aligned with engineering and programme requirements. Enable integration with the wider Digital Thread, providing ...

programme objectives. Support the development of technical baselines, methodologies, and work instructions for digital engineering solutions. Ensure integration with the wider Digital Thread, enabling data continuity and interoperability across engineering domains and enterprise systems. Capture, challenge, and consolidate requirements from engineering teams and stakeholders. Drive adoption of new digital … tools and processes through training, change management, and effective stakeholder engagement. Establish appropriate data models, naming conventions, metadata standards, and access controls. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, technical debt, risks, and dependencies across digital engineering environments. Lead incident resolution, root-cause analysis ...