751 to 775 of 1,022 Data Modelling Jobs in England

will need to demonstrate your Multi-Platform SIEM Expertise: you need proven experience with Splunk Enterprise Security, Microsoft Sentinel, and SIEM architecture including data models, correlation rules, and administrative functions. Security Operations: Strong analytical skills in threat detection, incident response, and security event analysis with experience in large enterprise … environments (10,000+ endpoints). Data Pipeline Management: Hands-on experience with log ingestion, data routing, and transformation using tools like Cribl, plus understanding of data normalisation and parsing in Splunk Enterprise. SOAR & Automation: Experience with Security Orchestration platforms, playbook development, and automated response workflows for incident ...

Reporting) and Powerplan in the larger Finance ecosystem in the Record-to-Report area.In very close collaboration with IT Application Owners, Process Owners and Data Owners, as well as managing relationships with multiple stakeholders within the Finance community, you will cover 5 main areas:**1. Run Operations Excellence**: Together … review system access regularly and ensure highest levels of internal controls and external audits on access management with your partners in Tech**2**. **Data Quality Management:** As a data steward, you will be responsible for the data quality in the system, setting up monitoring processes ...

Requirements Oriented methodologies and approaches Preferred expert knowledge of relational databases and data modelling Preferred proficiency in Javascript, AJAX, SQL, HTML, CSS. This is a unique opportunity for someone to expand further into web technology. You should be driven and... Salesforce Developer Role Significant experience in Java ...

Solution Engineering team. You will architect, design, and deploy MES Lite solutions using Tulip and other vendor technologies, owning Tulip architecture across app design, data models, and integrations. The role demands deep IT/OT knowledge, Pharma MES experience, ISA S88 familiarity, and the ability to travel globally. #J ...

Engineer II (Backend) to design and build high-throughput backend services for pricing. You will implement cache layers and participate in API design and data modeling for scalable microservices. The role emphasizes hands-on development with Java/Scala/Kotlin, distributed systems, and collaboration across cross-functional teams ...

deliver measurable improvements in pipelines, relationships, and revenue. This hybrid role requires 3+ days in the London office, with a focus on designing data models, integration patterns, and dashboards that provide actionable insights for senior leadership. #J-18808-Ljbffr ...

improve the ITSM platform enabling risk-based change across a CI/CD-led environment. The role is hands-on, building workflows, automation, integrations, data models, and control evidence for safe, observable changes. You will own the design and engineering of ITSM change enablement workflows within Jira Service Management ...

direction of a brand-new enterprise Salesforce platform. This hybrid role blends hands-on development with architectural leadership across FSC implementations. You will shape data models, integrations and governance, mentor engineers and drive best practices while partnering with product and architecture teams to deliver a scalable, secure solution. #J ...

Inference platforms, focusing on multi-cloud orchestration, resource management, and scalable model deployment pipelines. You will write production-grade Go code, design APIs and data models, and ensure reliability through tests, monitoring, and incident response; the role blends core infrastructure work with product impact and customer collaboration. #J ...

retention of Litera CRM. The role is hybrid, based in London, requiring in-office presence at least 3 days per week. You will lead data-model configurations, integration patterns, and KPI-driven dashboards to demonstrate concrete business #J-18808-Ljbffr ...

Markets engineering organization. The ideal candidate has a proven track record of building backend systems, deep expertise in distributed systems, and strong experience with data modelling. This hands-on role involves defining system design, setting technical direction, and ensuring scalable architecture. Competitive salary, equity options, and a hybrid working ...

areas, you dont need to be an expert in all but should be able to show detailed knowledge in a couple of areas Foundational Data Model (FDM) A strong understanding of Worktags would be a good example Financial Accounting Configuration Ledger configuration, book codes & account posting Intercompany, Allocations & Currency ...

multi-service and cross-domain initiatives, influencing architectural decisions and setting coding standards. Develop system designs, low-level designs (LLD), robust APIs, and data models that support seamless integration with internal and external services. Mentor and guide mobile engineers across teams, fostering technical excellence, code quality, and knowledge sharing. ...

multi‐service and cross‐domain initiatives, influencing architectural decisions and setting coding standards. Develop system designs, low‐level designs (LLD), robust APIs, and data models that support seamless integration with internal and external services. Mentor and guide mobile engineers across teams, fostering technical excellence, code quality, and knowledge sharing. ...

management experience, with 9+ years of relevant software development industry experience in a fast paced tech environment Deep expertise with backend systems and complex data modeling in large-scale consumer applications Excellent communication and presentation skills tuned for both technical or non‐technical audiences End‐to‐end, product‐oriented ...

keep them trustworthy as we scale. You'll also work well beyond billing itself, building integrations with other backend systems like our ERP and Data Platform so revenue data flows cleanly across the company. This is a cross-functional role. Your closest partners outside engineering are Finance … turns usage and commercial terms into accurate, auditable invoices for our partners. Build and maintain integrations with other backend systems, including our ERP and Data Platform, so revenue data is consistent and reliable across Gigs. Work primarily in Go, our main language for backend services, alongside PostgreSQL ...

Project description We are seeking an experienced Senior KDB+ Developer to design, develop and optimize high performance data platforms built on kdb+. The ideal candidate will have deep expertise in kdb+ tick architecture, performance tuning at scale and close collaboration with business stakeholders—particularly within Risk functions—to deliver … robust, efficient and maintainable solutions. Responsibilities Design, develop and maintain kdb+ tick systems with strong understanding of data organization, schema design and the performance implications of different architectural approaches. Build and operate solutions handling large‐scale, high‐frequency datasets, ensuring low latency, high throughput and efficient memory usage. Analyze ...

Janes equips defence, government, and industry leaders with objective, accurate, and shareable data and analysis. Our experts combine advanced technology with proven tradecraft to deliver validatedand contextualintelligence to assess threats, accelerate decisions, and anticipate change with confidence. Wedeliverourintelligence with the flexibility to fuse it with multiple sources … Janes interconnected intelligence capabilities across the customer base. Working within the Product Solutions team, you will support the deployment, configuration, and enhancement of Janes data across a variety of systems, platforms, and mission-critical capabilities. This role focuses on enabling Janes data within individual systems, facilitating interoperability with ...

/D Location : London Type : Hybrid The role We're working with a highly regarded organisation that's investing heavily in modern data and reporting capabilities. They're looking for an experienced BI professional to help design and optimise enterprise reporting solutions that support business-critical decision making. This … shaping reporting best practice across the business. Responsibilities Design and develop enterprise-grade Power BI dashboards, reports and semantic models. Optimise large-scale data models, refresh processes and reporting performance. Build automated reporting solutions using Power BI, Python and modern DevOps practices. Collaborate with technical and business stakeholders ...

Scientists to manage the lifecycle of ML models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy … monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite; ChatGPT enterprise; Claude. You Should Apply ...

Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data‐driven decision making across the business. Own service performance and continuous improvement, ensuring robust IT Service Management, regulatory compliance, model risk management, ethical … externally. Provide effective operational leadership of the team, ensuring adherence to governance and compliance frameworks including budget management, forecasting, business planning, delivery controls, data governance, audit, communications and people policies. Work closely with Digital Services teams and senior stakeholders to define and deliver machine learning strategies that maximise adoption ...

Project Contractor Contract role to design and deliver a proof‐of‐concept knowledge graph modeling investment fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine‐readable ontologies — directly eliminating manual fund data processes … most recognized knowledge graph practitioners in financial services. What You’ll Deliver (POC Scope) An investment fund ontology (OWL 2/RDF/Linked Data) modeling the product hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more) governed across US, UK, Ireland ...

regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania). Role: Statistical data processing (Data Mining) Artificial Intelligence (AI), including generative AI Predictive modeling using Machine Learning and Data Science techniques Time-series modeling (ARIMA … panel data models) and simulation models (Monte Carlo) Development, validation and audit of financial, risk, marketing and business-oriented models R&D projects Requirements: Recent graduates or final year students. Should desirably have knowledge of Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming ...

Free access to an on-site gym, complete with shower and changing facilities BI Developer: About the Role We're working with a growing, data-driven organisation looking to appoint an experienced Business Intelligence Developer to join their established data team. You'll be responsible for developing … maintaining reports, dashboards and data solutions using the Microsoft BI stack, ensuring data accuracy, integrity and usability across the business. Bi Developer : Key Responsibilities Design, develop and maintain Power BI dashboards and reporting solutions. Write, optimise and troubleshoot complex T-SQL queries within SQL Server environments. Extract, transform ...

Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands‐on leadership role, you will build and scale production‐grade platforms and AI‐enabled products that … critical workflows, decision‐making, automation, and business insight across the organization. The ideal candidate combines deep software engineering expertise with strong applied AI and data science capability, and has a proven ability to mentor engineers, shape technical direction, and partner cross‐functionally to turn complex business problems into scalable ...